Michael Blatchley

Lab/ Center/ Institute affiliation or affiliation – BioInspired Institute

Areas of Expertise:

  • 4D Biomaterials
  • Organoids
  • Vascularization
  • Extracellular Matrix
  • Tissue Morphogenesis

My lab’s research focuses on constructing benchtop models of human tissues. We’re really interested in understanding the “rules of life” for how tissues form, so we can use that knowledge to improve the biomimicry of our engineered tissue models to understand the biology of development and disease.

How we do it: We do this by first mining existing datasets and using advanced imaging tools to further our understanding of homeostatic or pathological characteristics of tissue-specific microenvironments. We then take that knowledge, decide what parameter(s) we want to investigate, and engineer inquiry-specific microenvironments using synthetic hydrogels. Some projects focus on how altered initial conditions (e.g., matrix stiffness or viscoelasticity, integrin binding, extracellular matrix composition, and cell composition) impact morphogenesis. Other projects focus on the role of spatiotemporal dynamics of the extracellular microenvironment in shaping growing tissues. For this work, we use light-tunable materials to alter the properties of our synthetic microenvironments, in order to guide morphogenesis.

Honors and Awards:

NIDDK K99/R00 Pathway to Independence Award (NIH)

American Institute of Chemists Postdoctoral Award (University of Colorado Boulder)

Young Investigator’s Day Paul Talalay Award (Johns Hopkins University)

NHBLI F31 NRSA Individual Predoctoral Fellowship (NIH)

Predoctoral Fellowship (American Heart Association)

Selected Publications:

  1. Blatchley MR, Anseth KS. Middle-out methods for spatiotemporal tissue engineering of organoids. Nature Reviews Bioengineering, 1, 329-345, 2023. (link)
  2. Yavitt FM, Kirkpatrick BE, Blatchley MR, Speckl KF, Mohagheghian E, Moldovan R, Wang N, Dempsey PJ, Anseth KS. In situ modulation of intestinal organoid epithelial curvature through photoinduced viscoelasticity directs crypt morphogenesis. Science Advances, 9 (3), eadd5668, 2023. (link)
  3. Blatchley MR*, Günay KA*, Yavitt FM, Hawat EM, Dempsey PJ, Anseth KS. In situ super-resolution imaging of organoids and extracellular matrix interactions via photo-transfer by allyl sulfide exchange expansion microscopy (PhASE-ExM), Advanced Materials, 2109252, 2022. (link)
  4. Blatchley MR, Hall F, Ntekoumes D, Cho H, Kailash V, Gerecht S. Discretizing 3D oxygen gradients in hydrogels to modulate and investigate cellular processes, Advanced Science, 2100190, 2021. (link)
  5. Blatchley MR, Gerecht S. Re-constructing the vascular developmental milieu in vitro, Trends in Cell Biology, 30 (1), 15-31, 2020. Cover Feature. (link)
  6. Blatchley MR, Hall F, Wang S, Pruitt HC, Gerecht S. Hypoxia and matrix viscoelasticity sequentially regulate endothelial progenitor cluster-based vasculogenesis, Science Advances, 5 (3), eaau7518, 2019. (link)
  7. Cho H, Blatchley MR, Duh EJ, Gerecht S. Acellular and cellular approaches to improve diabetic wound healing, Advanced Drug Delivery Reviews, 146, 267-288, 2018. (link)
  8. Lewis DM*, Blatchley MR*, Park KM, Gerecht, S. O2-controllable hydrogels for studying cellular responses to hypoxic gradients in three dimensions in vitro and in vivo, Nature Protocols, 12 (8), 1620-1638, 2017. (link)

Yizhi Liu


  • PhD Architectural Engineering, Penn State University
  • MS Robotics, Columbia University
  • MS Electrical Engineering & Computer Science, Penn State University
  • MS Construction Engineering & Management, University of Michigan
  • BS Construction Management, Tianjin University

Research Interests:

  • Construction robotics;
  • Human-robot interaction;
  • Robotic teleoperations;
  • Robot path planning;
  • Computer vision and machine learning algorithms for seamless human-robot collaboration;
  • Physiological sensing for workers’ health and safety

Selected Publications:

Liu, Y., Habibnezhad, M., and Jebelli, H. (2021). “Brain-computer interface for hands-free control of construction robots,” Automation in Construction, Elsevier, 123, 103523. https://doi.org/10.1016/j.autcon.2020.103523.

Liu, Y., Habibnezhad, and Jebelli, H. (2021). “Brainwave-driven human-robot collaboration in construction” Automation in Construction, Elsevier, 124, 103556. https://doi.org/10.1016/j.autcon.2021.103556.

Liu, Y., Habibnezhad, M., Shayesteh, S., Jebelli, H., and Lee, S. (2021). “Paving the Way for Future EEG Studies in Construction: Dependent Component Analysis (DCA) for Automatic Ocular Artifact Removal from Brainwave Signals,” Journal of Construction Engineering and Management, ASCE. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002097.

Liu, Y., Ojha, A., Shayesteh, S., and Jebelli, H. (2022). “Robotic Sensing and Perception in Construction: Generative Adversarial Networks (GANs) based Physiological Computing Mechanism to Enable Robots to Perceive Workers’ Cognitive Load” Canadian Journal of Civil Engineering, Canadian Science Publishing. http://doi.org/10.1139/cjce-2021-0646.

Ojha, A., Liu, Y., Shayesteh, S., Jebelli, H., and Sitzabee, W., (2022). “Affordable Multiagent Robotic System for Same-level Fall Hazard Detection in Indoor Construction Environments,” Journal of Computing in Civil Engineering, ASCE. https://ascelibrary.org/doi/10.1061/%28ASCE%29CP.1943-5487.0001052

Jason Pollack

Areas of Expertise:

-Quantum information



-Emergent spacetime and quantum gravity

My research is aimed at elucidating how, and in what circumstances, thermalization, gravitational dynamics, and classical observables can be derived from the more fundamental underlying features of a quantum theory. My research is motivated by cosmology and quantum gravity, but primarily uses tools from quantum information. One of my research programs focuses on understanding the entanglement structure of quantum states. A second research program is concerned with the physics seen by observers with only limited access to, or an imperfect ability to make measurements on, the quantum state.

Honors and Awards:

Member, Simons “It from Qubit” collaboration

Graduate Dean’s Award for Outstanding Community Service, Caltech, 2017

Chair, Caltech Graduate Student Council, 2015-6

Troesh Fellow in Physics, Caltech, 2014-5

Kusaka Memorial Prize in Physics, Princeton Physics Department, September 2011

Selected Publications:

S. Aaronson and J. Pollack, 2022, “Discrete Bulk Reconstruction,” JHEP, 2023, 37; arXiv:2210.15601.

C. Keeler, W. Munizzi, and J. Pollack, 2022, “An Entropic Lens on Stabilizer States,” Phys. Rev. A 106, 062418; arXiv:2204.07593.

J. Pollack, M. Rozali, J. Sully, and D. Wakeham, 2020, “Eigenstate Thermalization and Disorder Averaging in Gravity,” Phys. Rev. Lett. 125, 021601 (2020); arXiv:2002.02971.

O. Kabernik, J. Pollack, and A. Singh, 2019, “Quantum State Reduction: Generalized Bipartitions from Algebras of Observables,” Phys. Rev. A 101, 032303 (2020); arXiv:1909.12851.

A. Bartolotta, S.M. Carroll, S. Leichenauer, and J. Pollack, 2015, “The Bayesian Second Law of Thermodynamics,” Phys. Rev. E 94, 022102 (2016); arXiv:1508.02421.

K.K. Boddy, S.M. Carroll, and J. Pollack, 2014, “De Sitter Space Without Dynamical Quantum Fluctuations,” Found. Phys.46, 702 (2016); arXiv:1405.0298.

John Trimmer

Areas of Expertise:

  • Water and sanitation in resource-limited settings
  • Resource recovery from sanitation
  • Sustainability analysis of water, sanitation, and resource systems
  • Social-ecological systems

John Trimmer is an Assistant Teaching Professor in the Department of Civil and Environmental Engineering. He is interested in sustainable water and sanitation in resource-limited settings, as well as the possibilities associated with resource recovery from sanitation systems. He employs an interdisciplinary perspective to explore how these and other resource systems interact with economics, agriculture, ecology, and socio-cultural contexts to impact people and the environment. He has spent several years working on these topics throughout Africa, first as a Peace Corps Volunteer in Uganda and more recently in Nairobi, Kenya with The Aquaya Institute, a non-profit research organization focused on water, sanitation, and health.

Honors and Awards:

Environmental Science & Technology: Best Paper on Environmental Policy in 2020

Paul V. Roberts/AEESP Outstanding Doctoral Dissertation Award (2020)

AAEES/AEESP William Brewster Snow Award (2015)

Selected Publications:

Trimmer, J.T., Qureshi, H., Otoo, M., & Delaire, C. (2023). The enabling environment for citywide water service provision: Insights from six successful cities. PLOS Water, 2(6), e0000071.

Trimmer, J.T., Kisiangani, J., Peletz, R., Stuart, K., Antwi-Agyei, P., Albert, J., Khush, R., & Delaire, C. (2022). The Impact of Pro-Poor Sanitation Subsidies in Open Defecation-Free Communities: A Randomized, Controlled Trial in Rural Ghana. Environmental Health Perspectives, 130(6), 067004.

Li, Y., Trimmer, J.T., Hand, S., Zhang, X., Chambers, K.G., Lohman, H.A.C., Shi, R., Byrne, D.M., Cook, S.M., & Guest, J.S. (2022). Quantitative sustainable design (QSD) for the prioritization of research, development, and deployment of technologies: a tutorial and review. Environmental Science: Water Research and Technology, 8, 2439-2465.

Poulin, C., Trimmer, J.T., Press-Williams, J., Yachori, B., Khush, R., Peletz, R., & Delaire, C. (2022). Performance of a novel machine learning-based proxy means test in comparison to other methods for targeting pro-poor water subsidies in Ghana. Development Engineering, 7, 100098.

Echevarria, D., Trimmer, J.T., Cusick, R.D., & Guest, J.S. (2021). Defining Nutrient Colocation Typologies for Human-Derived Supply and Crop Demand to Advance Resource Recovery. Environmental Science & Technology, 55(15), 10704–10713.

Trimmer, J.T., Byrne, D.M., Houser, S.A., Lohman, H.A.C., Jjuuko, F., Katende, D., Zerai, A., Banadda, N., Miller, D.C., & Guest, J.S. (2020). Navigating multidimensional social-ecological system tradeoffs across sanitation alternatives in an urban informal settlement. Environmental Science & Technology, 54(19), 12641-12653.

Trimmer, J.T., Miller, D.C., Byrne, D.M., Lohman, H.A.C., Banadda, N., Baylis, K., Cook, S.M., Cusick, R.D., Jjuuko, F., Margenot, A.J., Zerai, A., & Guest, J.S. (2020). Re-envisioning sanitation as a human-derived resource system. Environmental Science & Technology, 54(17), 10446-10459.

Trimmer, J.T., & Guest, J.S. (2020). GIVE: A framework of assumptions for constructive review feedback. Environmental Science & Technology, 54(19), 11648-11650.

Trimmer, J.T., Miller, D.C., & Guest, J.S. (2019). Resource recovery from sanitation to enhance ecosystem services. Nature Sustainability, 2(8), 681-690.

Trimmer, J.T., Margenot, A.J., Cusick, R.D., & Guest, J.S. (2019). Aligning product chemistry and soil context for agronomic reuse of human-derived resources. Environmental Science & Technology, 53(11), 6501-6510.

Trimmer, J.T., & Guest, J.S. (2018). Recirculation of human-derived nutrients from cities to agriculture across six continents. Nature Sustainability, 1, 427-435.

Trimmer, J.T., Cusick, R.D., & Guest, J.S. (2017). Amplifying progress toward multiple development goals through resource recovery from sanitation. Environmental Science & Technology, 51(18), 10765-10776.

Trimmer, J.T., Nakyanjo, N., Ssekubugu, R., Sklar, M., Mihelcic, J.R., & Ergas, S.J. (2016). Estimation of Ascaris lumbricoides egg inactivation by free ammonia treatment of ash-amended UDDT vault products using stored urine in Uganda. Journal of Water Sanitation and Hygiene for Development, 6(2), 259-268.

Trimmer, J.T., Nakyanjo, N., Ssekubugu, R., Sklar, M., Mihelcic, J.R., & Ergas, S.J. (2016). Assessing the promotion of urine-diverting dry toilets through school-based demonstration facilities in Kalisizo, Uganda. Journal of Water Sanitation and Hygiene for Development, 6(2), 276-286.

Lohman, H.A.C., Trimmer, J.T., Katende, D., Mubasira, M., Nagirinya, M., Nsereko, F., Banadda, N.E., Cusick, R.D., & Guest, J.S. (2020). Advancing sustainable sanitation and agriculture through investments in human-derived nutrient systems.  Environmental Science & Technology, 54(15), 9217-9227.

Saman Priyantha Kumarawadu

Research Interests:

  • Artificial Intelligence and deep Learning
  • Internet-of-Things (IoT) applications and security
  • Data Mining
  • AI for Sustainability

My research interests broadly lie in the areas of artificial intelligence, machine, Internet-of-Things and Data Mining. Mainly, I focus on the application of deep learning and AI algorithms in developing new methodologies for real-time decision making to solve challenging real-world problems. Building deep learning-based software to make real world impact in the areas of health, agriculture, and education is one of the primary objectives of my research. I further extend my research to explore the impact of artificial intelligence in social, economic and cultural context, and the usage of machine learning to secure IoT infrastructures in various application domains such as smart homes, smart health, and smart wearables.

Selected Publications:

  1. Fathima Amira Azeer, and Priyantha Kumarawadu, Network Intrusion Detection System using Convolution Neural Networks, (2022) Proceedings of International Conference on Intelligent Application of Recent Innovation in Science & Technology (IARIST)
  2. Chameera De Silva and Priyantha Kumarawadu, Performance Analysis of Machine Learning Classification Algorithms in the Case of Heart Failure Prediction (2022) The 18th International Wireless Communications & Mobile Computing Conference
  3. Shadiya Mohammed Raly and Priyantha Kumarawadu (2022) Real-Time Burglar Recognition Based on Human Skeletal Data using OpenPose and Long-Short Term Memory Network. Asian Journal of Information Technology, 21(1), 1-5,
  4. Priyantha Kumarawadu, and Mohammed Izzath, (2022). Sinhala Sign Language Recognition using Leap Motion and Deep Learning. Journal of Artificial Intelligence and Capsule Networks, 4(1), 54-68.
  5. Avishka Jayasundara, Dimanthinie De Silva and Priyantha Kumarawadu, (2022) “Personality Prediction of Social Network Users using LSTM based Sentiment Analysis” Proceedings of 1st   IEEE International Conference on Smart Technologies and Systems for Next Generation Computing,
  6. Christina De Lile and Priyantha Kumarawadu, (2021) “A comprehensive Investigation Supporting Educational Development of Special Needs Students through Personification and Emotion AI”, Proceedings of   ACM 4th International Conference on Education Technology Management (ICETM)

Joseph J. Waclawski

Areas of Expertise:

  • Software Engineering Process
  • System/Software Modeling in SYSML/UML
  • Object Oriented Design and Development

I have been a Software Developer, Software Integrator, Systems Integrator, Lead Software Engineer, Software Project Manager and Software Functional Manager at various technology companies over the past 37 years, including General Electric, Lockheed Martin, and Sensis (now SAAB). My work at these companies spans the complete product life cycle. I started my career performing Systems/Hardware integration and test for one of the largest RADAR systems every developed, but have focused on Software Engineering for the past 30 years. I have been teaching at the College level for the past 23 years; 20 of these years at Syracuse University. I am a certified Lead Software Engineer and was previously a Software Manager at Lockheed Martin. I have earned my certification in Professional Scrum Product Owner I from scrum.org. While I have been primarily focused on industry, my real passion is teaching and mentoring our future generation of engineers.

Honors and Awards:

  • Lockheed Martin, RMS Certified Software Leader
  • General Electric, DMAIC and DFSS Green Belt
  • Lockheed Martin, Certified Cost Account Manager
  • scrum.org, Professional Scrum Product Owner I Certified
  • Patents:
    • 9841836 Control of non-destructive testing devices
    • 11403748 Method and system for articulation of a visual inspection device

Aaron Mohammed

Areas of Expertise:

Cold regions hydrology and hydrogeology

Permafrost thaw

Numerical modeling of hydrological processes

Coastal hydrogeology

Aaron Mohammed is an Assistant Professor in the Departments of Earth and Environmental Sciences and Civil and Environmental Engineering. His research focuses on the hydrology and hydrogeology of environments undergoing rapid changes due to climate warming and increased development. He is interested in the movement of water, energy, and chemicals through landscapes, and their interacting effects on hydrologic processes such as permafrost thaw, groundwater recharge, seawater intrusion, and contaminant transport. His research aims to improve our understanding of, and ability to predict, hydrological processes in a changing climate, and develop management strategies to enhance the resiliency of water and ecosystem resources.

Selected Publications:

Mohammed, A.A., Kurylyk, B.L., Cey, E.E., & Hayashi, M. (2018). Snowmelt infiltration and macropore flow in frozen soils: Overview, knowledge gaps, and a conceptual framework. Vadose Zone Journal, 17(1), 1-15.

Mohammed, A.A., Pavlovskii, I., Cey, E.E., & Hayashi, M. (2019). Effects of preferential flow on snowmelt partitioning and groundwater recharge in frozen soils. Hydrology and Earth System Sciences, 23(12), 5017-5031.

Mohammed, A.A., Bense, V.F., Kurylyk, B.L., Jamieson, R.C., Johnston, L.H., & Jackson, A.J. (2021). Modeling reactive solute transport in permafrost‐affected groundwater systems. Water Resources Research, 57(7), e2020WR028771.

Guimond, J.A., Mohammed, AA., Walvoord, M.A., Bense, V.F., & Kurylyk, B.L. (2021). Saltwater intrusion intensifies coastal permafrost thaw. Geophysical Research Letters, 48(19), e2021GL094776.

KarisAllen, J.J., Mohammed, A.A., Tamborski, J.J., Jamieson, R.C., Danielescu, S., & Kurylyk, B.L. (2022). Present and future thermal regimes of intertidal groundwater springs in a threatened coastal ecosystem. Hydrology and Earth System Sciences, 26(18), 4721-4740.

Mohammed, A. A., Guimond, J. A., Bense, V. F., Jamieson, R. C., McKenzie, J. M., & Kurylyk, B. L. (2022). Mobilization of subsurface carbon pools driven by permafrost thaw and reactivation of groundwater flow: a virtual experiment. Environmental Research Letters, 17(12), 124036.

Aoyi Luo

Areas of Expertise:

  • Solid Mechanics
  • Materials
  • Design and Manufacturing
  • Soft Robotics
  • Thermophysics

Dr. Luo’s research group specializes in leveraging the expertise in mechanics, materials, and computational methods including data-driven methods to address cutting-edge challenges in robotics, design, and manufacturing. The group’s research encompasses a diverse range of topics, including the design and analysis of microtransfer printing processes, the development of variable stiffness structures and mechanisms, the exploration of adhesion-based soft robotic grippers, and the creation of architected materials with tailored adhesion or fracture properties. By focusing on these research thrusts, the group aims to advance the understanding and application of mechanics and materials in robotics, enabling the development of innovative designs and manufacturing techniques.

Selected Publications:

  • Luo, A., Zhang, H. and Turner, K.T., 2022. Machine learning-based optimization of the design of composite pillars for dry adhesives, Extreme Mechanics Letters54, p.101695.
  • Luo, A., Pande, S.S., Turner, K.T., 2022. Versatile adhesion-based gripping via an unstructured variable stiffness membrane, Soft Robotics.
  • Luo, A., and Turner, K.T., 2022. Adhesion of beams with subsurface elastic heterogeneity. Journal of the Mechanics and Physics of Solids159, p.104713.
  • Luo, A., and Turner, K.T., 2021. Achieving enhanced adhesion through optimal stress distributions. Journal of the Mechanics and Physics of Solids156, p.104610.
  • Luo, A., and Turner, K.T., 2020. Mechanics of crack path selection in microtransfer printing: Challenges and opportunities for process control. Journal of the Mechanics and Physics of Solids143, p.104066.
  • Luo, A. §, Nasab, A.M. §, Tatari, M., Chen, S., Shan, W. and Turner, K.T., 2020. Adhesion of flat-ended pillars with non-circular contacts. Soft Matter16(41), pp.9534-9542. (§ represents co-first author)
  • Nasab, A.M. §, Luo, A. §, Sharifi, S., Turner, K.T. and Shan, W., 2020. Switchable adhesion via subsurface pressure modulation. ACS applied materials & interfaces12(24), pp.27717-27725. (§ represents co-first author)
  • Tan, D. §, Luo, A. §, Wang, X., Shi, Z., Lei, Y., Steinhart, M., Kovalev, A., Gorb, S.N., Turner, K.T. and Xue, L., 2020. Humidity-modulated core–shell nanopillars for enhancement of gecko-inspired adhesion. ACS Applied Nano Materials3(4), pp.3596-3603. (§ represents co-first author)
  • Luo, A. and Lior, N., 2017. Study of advancement to higher temperature membrane distillation. Desalination419, pp.88-100.
  • Luo, A. and Lior, N., 2016. Critical review of membrane distillation performance criteria. Desalination and Water Treatment57(43), pp.20093-20140.

Ian M. Shapiro

Lab/ Center/ Institute Affiliation:

Associate Director of Building Science and Community Programs, Syracuse University Center of Excellence in Environmental and Energy Systems

Areas of Expertise:

  • Heat pumps
  • Building science
  • Green building design and retrofits
  • Affordability in approaches to reduced carbon emissions

Primary area of expertise is heat pumps. Has designed heat pumps for production at Carrier Corporation, consulted to multiple heat pump manufacturers, authored original heat pump theory, been awarded multiple patents relating to heat pumps and air conditioning, and done research on multiple types of heat pumps (air source, water source, vertical stack, air-to-water, etc.). Other areas of work have included lighting controls, heat pump water heaters, indoor air quality, and enclosure (insulation and window) design.  Has developed a new metric to quantify building shape efficiency to minimize carbon emissions.  Has authored a novel energy code that emphasizes affordability in new building design. Founded a successful consulting engineering firm, Taitem Engineering, based in Ithaca, NY, and continues to serve as partner and board member.

Honors and Awards:

  • New York State Green Building Advocate of the Year, 2016
  • Leader of a team that won the R&D100 award in 2005 for one of the 100 most significant innovations nationally. Team participants included the National Renewable Energy Lab and NYSERDA.  For:  Residential energy analysis software. The software is still in wide use, over 20 years after its introduction.


Co-author, Ithaca Energy Code Supplement (2021). This local energy code is one of the most advanced in the nation, currently requiring 80% lower carbon emissions for the design of new buildings, progressing to 100% reduced carbon emissions (fossil-fuel-free, net-zero energy) on January 1, 2026. 

Co-author (with Francis D.K. Ching) of the textbook Green Building Illustrated (2nd edition 2020, Wiley). Translated into Chinese, Spanish, Portuguese, and Korean.

Author of the textbook Energy Audits and Improvements for Commercial Buildings (2016, Wiley).

Selected Publications:

“Preventing Refrigerant Leaks in Heat Pumps.”  ASHRAE Journal.  January 2020.  Co-author with Jon Harrod. 

“Ithaca’s Example: Toward Zero Carbon Buildings”, High Performing Buildings Magazine, a publication of ASHRAE. July 2019. 

“Heating Loads: Upstairs Versus Downstairs.”  Home Energy Magazine. Fall 2017. 

“Boosting Multifamily Energy Savings Through Lighting Control Settings,” Home Energy, August/September 2013. 

“Air Infiltration Measurements in Buildings Using Sound Transmission Loss Through Small Apertures,” International Journal of Green Energy, May, 2012. 

“The Receptivity of Roofs to Solar Panels,” Sciforum’s 2nd World Sustainability Forum, November, 2012.  

“HVAC Selection for Envelope Dominated Buildings,” ASHRAE Journal, October 2011. 

“Air Bypass in Vertical Stack Water Source Heat Pumps,” HVAC&R Research, October 20x`11. 

“Design from the Outside In,” Journal of Green Building, Volume 5.1, Winter 2010. 

“Water and Energy Use in Steam-Heated Buildings“, ASHRAE Journal, May 2010. 

“Energy Audits in Large Commercial Office Buildings,” ASHRAE Journal, January 2009. 

“The Impact of Accessibility on Air Filter Cleanliness,” INvironment Professional, January 1999, Vol. 5, No. 1. 

Theodore Walker

Education / Experience

  • Senior Scientist, ExxonMobil Research and Engineering Company, Annandale, NJ, 2019-2022
  • Ph.D., Chemical and Biological Engineering, University of Wisconsin – Madison, 2019
  • B.S., Chemical Engineering, University of Illinois at Chicago, 2015

Areas of Expertise: 

  • Heterogeneous Catalysis
  • Reaction Kinetics and microkinetic analysis
  • Experimental Determination of Reaction Mechanisms
  • Advanced liquid- and solid-state NMR spectroscopy
  • Solvent Effects in Liquid-Phase Catalytic Processes
  • Biomass conversion to renewable energy and chemicals
  • Complex plastic waste recycling

The Walker lab studies the fundamental, mechanistic details underlying heterogeneously catalyzed reactions of biomass, waste plastics, and other sources of non-fossil-based organic carbon for renewable fuels and chemicals production. We leverage our group’s strengths in solvent effects, advanced spectroscopic methods, and materials synthesis to develop novel catalysts that enable atom-efficient conversion of renewable feedstocks into fungible products while resisting deactivation by poisons.

Our experimental approach combines catalyst synthesis, characterization, and reaction kinetics measurements. We collaborate extensively with theorists to combine our experimental measurements with quantum-chemical and/or molecular dynamics simulations, toward a comprehensive understanding of the fundamental bases by which catalysts transform raw materials into products. Current research topics include:

  • Alkali-metal-resistant, bi-functional metal and acid catalysts for hydropyrolysis of waste plastics and biomass
  • Grafting of polymer brushes onto support catalysts to direct selectivity and mitigate deactivation by poisons in liquid-phase processing of renewable oxygenates
  • Solvent-fractionation of complex, solid waste mixtures into pure, corresponding component streams for subsequent catalytic processing
  • Electrochemical production of renewable polymers precursors and other platform molecules

Selected Publications

  1. Walker, Theodore W., et al. “Recycling of multilayer plastic packaging materials by solvent-targeted recovery and precipitation.” Science advances 6.47 (2020): eaba7599.
  • Walker, Theodore W., et al. “Solid-state NMR studies of solvent-mediated, acid-catalyzed woody biomass pretreatment for enzymatic conversion of residual cellulose.” ACS sustainable chemistry & engineering 8.16 (2020): 6551-6563.
  • Walker, Theodore W., et al. “Universal kinetic solvent effects in acid-catalyzed reactions of biomass-derived oxygenates.” Energy & Environmental Science 11.3 (2018): 617-628.
  • Walker, Theodore W., et al. “Fundamental catalytic challenges to design improved biomass conversion technologies.” Journal of Catalysis 369 (2019): 518-525.
  • Walker, Theodore W., et al. “Rational design of mixed solvent systems for acid-catalyzed biomass conversion processes using a combined experimental, molecular dynamics and machine learning approach.” Topics in Catalysis 63.7 (2020): 649-663.

Peter Plumley


  • State University of NY at Albany, Geology B.S. 1974
  • Western Washington University, Geology M.S. 1980
  • University of California, Santa Cruz, Earth Science Ph.D. 1984

Lab/ Center/ Institute affiliations:

  • Director of the Central New York Science & Engineering Fair (CNYSEF)
  • Director for the NASA NYS Space Grant Consortium for Syracuse University

Areas of Expertise:

  • Earth Scientist with an extensive background in computers and technology
  • Research has been in the areas of plate tectonics and application of paleomagnetic techniques to regional tectonics
  • Active research is focused on educational issues of secondary students related to motivation and the Science of Learning
  • Designed, built and marketed a Super-Sensitive Horizontal Translation Beam Curie Point Balance
  • Primary investigations concern application of paleomagnetic techniques to regional tectonic and structural problems, plate tectonics, and strain analysis. 
  • Design, edit and create exhibits for science and engineering subjects.

Honors and Awards:

  • 2003 College Educator of the Year, by the Technology Alliance of Central New York
  • 2008 SU Gearup
  • 2011 The Post Standard-Achievement Award
  • 2015 Technology Alliance of Central New York, Science & Technology Outreach
  • 2019 Partners for Education & Business, Inc., Career Spark Award

Selected Publications:

Plumley, P. W., Coe, R. S., T. Byrne, M. Reid, and J. C. Moore, 1982, Paleomagnetism of volcanic rocks of the Kodiak Islands indicates northward latitudinal displacement, Nature, v. 300, p. 50-52.

Moore, J.C., T. Byrne, P.W. Plumley, M. Reid, H. Gibbons, and R. Coe. 1983, Paleogene Evolution of the Kodiak Islands, Alaska: Consequences of Ridge-Trench Interaction in a more Southerly Latitude, Tectonics, V. 2, N 3. P. 265-293.

Plumley, P. W. 1987, Paleomagnetism and Displacement of Alaskan Terranes,” Syracuse Scholar (1979-1991): Vol. 8: Iss. 1, Article 4. 

Plumley, P. W., M. S. Vance, and G. Milazzo, 1989, Structural and paleomagnetic evidence for Tertiary bending of the eastern Brooks Range flexure, Alaska, in; Deep structure and past kinematics of accreted terranes, ed J.W. Hillhouse, A.G.U. Geophysical Monograph/I.U.G.G., v. 5. Union Monograph, p. 127-150.

Pair, D. L., Muller, E. H., & Plumley, P. W., 1994, Correlation of Late Pleistocene glaciolacustrine and marine deposits by means of geomagnetic secular variation, with examples from northern New York and southern Ontario, Quaternary Research, 42, 277-287.

Yaoying Wu

Lab/ Center/ Institute affiliation –

Bioinspired Institute

Areas of Expertise:

  • Synthetic Biomaterials
  • Peptide Assembly
  • Vaccine Design
  • Immunoengineering

The immune system is essential for many aspects of human health, such as, infections, autoimmune conditions, malignancies, and tissue regenerations. While the generations of immune responses are complicated processes that involves wide range of molecular and cellular interactions, many key aspects crucial for protective immune responses have been recently revealed, generating enormous opportunities for therapeutic interventions to greatly improve patient health. Various immune engineering strategies based on biomaterial platforms have shown promise in facilitating immunogenic materials trafficking, modulating cellular interactions, and more. My previous work has also demonstrated several approaches to engineer coordinated cellular and humoral immune responses for augmenting therapeutic responses. The research of our team at Syracuse is aimed at designing biomaterials strategies to delivering molecular stimuli in a temporal and spatial fashion for regulating immune functions. We are particularly interested in harnessing humoral immune responses for therapeutic purpose by regulating the cellular process involved.

Honors and Awards:

  • Duke Incubation Fund (Co-PI) 2019
  • American Chemical Society Excellence in Graduate Polymer Research Award 2014

Selected Publications:

•             Wu Y, Wen H, Bernstein Z, Blakney T, Congdon K, Sampson JH, Sanchez-Perez L, Collier JH, Multi-epitope supramolecular peptide nanofibers eliciting coordinated humoral and cellular antitumor immune responses, Science Advances, 2022 8, eabm7833

•             Wu Y, Kelly SH, Sanchez-Perez L, Sampson JH, Collier JH, Comparative study of α-helical and β-sheet self-assembled peptide nanofiber vaccine platforms: Influence of integrated T-cell epitopes, Biomaterial Science, 2020, 8, 3522

•             Fries CN, Wu Y, Kelly SH, Wolf M, Votaw NL, Zauscher S, Collier JH, Controlled lengthwise assembly of helical peptide nanofibers to modulate CD8+ T cell responses, Advanced Materials, 2020, 32, 2003310

•             Kelly SH, Wu Y, Varadhan AK, Curvino EJ, Chong AS, Collier JH, Enabling Sublingual Peptide Immunization Using Molecular Self-assemblies, Biomaterials, 2020, 241, 119903

•             Nelson CE, Wu Y, Gemberling MP, Oliver ML, Waller MA, Bohning JD, Robinson-Hamm JN, Bulaklak K, Castellanos Rivera RM, Collier JH, Asokan A, Gersbach CA, Long-term Evaluation of AAV-CRISPR Genome Editing for Duchenne Muscular Dystrophy, Nature Medicine, 2019, 25, 427

•             Wu Y, Norberg PK, Reap EA, Congdon K, Fries C, Kelly SH, Sampson JH, Conticello VP, Collier JH, A supramolecular vaccine platform based on α-helical peptide nanofibers, ACS Biomaterials Science & Engineering, 2017, 3(12), 3128

•             Wu Y, Smith AE, Reineke TM, Lipophilic polycation vehicles display high plasmid DNA delivery to multiple cell types, Bioconjugate Chemistry, 2017, 28, 2035

Yi Zheng

Lab/ Center/ Institute affiliations:

BioInspired Institute

Areas of Expertise:

  • Stem cell-based human developmental models
  • Microengineered organ/disease models (organoids)
  • Single cell genomics
  • Microfluidics
  • Mechanobiology

Embryonic development involves extensive lineage diversification, cell fate specification, tissue patterning and morphogenesis. Identification of the features that enable robust interpretation of developmental signaling using in vivo samples is a significant challenge. Recent studies of self-assembly processes of organ-like structures (organoids) from pluripotent stem cells in vitro have provided fresh insights into fundamental mechanisms underlying embryonic development. These stem cell-based in vitro models offer unparalleled opportunities for experimental control of key parameters, quantitative measurements, and mathematical modeling.

My lab sought to leverage sophisticated engineering approaches to achieve controllable in vitro platforms that could recapitulate sequential developmental events during human embryo development. These stem cell-based models will provide powerful experimental platforms to advance understanding of poorly understood embryonic disorders. With superior controllability and scalability, these platforms will also serve as effective tools for high-throughput drug and toxicity screening to facilitate diagnosis, prevention, and treatment of teratogenesis and birth defects.

Honors and Awards:

  • Robert M. Caddell Memorial Award, University of Michigan
  • Natural Sciences and Engineering Research Council of Canada (NSERC) Postdoctoral Fellowship
  • Natural Sciences and Engineering Research Council of Canada (NSERC) CREATE Scholarships, University of Toronto
  • Barbara and Frank Milligan Fellowships, University of Toronto

Selected Publications:

  • Zheng Y, Yan RZ, Kobayashi M, Xiang L, Yang R, Goedel A, Kang Y, Xue X, Esfahani SN, Liu Y, Resto Irizarry AM, Wu W, Li Y, Ji W, Niu Y, Chien KR, Li T, Shioda T, Fu J. Single-cell analysis of embryoids reveals lineage diversification roadmaps of early human development. Cell Stem Cell. 2022. In Press
  • Zheng Y, Xue X, Shao Y, Wang S, Esfahani SN, Li Z, Muncie JM, Lakins JN, Weaver VM, Gumucio DL, Fu J. Controlled modelling of human epiblast and amnion development using stem cells. Nature. 2019;573(7774):421-5.
  • Zheng Y, Sun Y, Yu X, Shao Y, Zhang P, Dai G, Fu J. Angiogenesis in Liquid Tumors: An In Vitro Assay for Leukemic-Cell-Induced Bone Marrow Angiogenesis. Advanced Healthcare Materials. 2016;5(9):1014-24.
  • Zheng Y, Chen J, Cui T, Shehata N, Wang C, Sun Y. Characterization of red blood cell deformability change during blood storage. Lab on a Chip. 2014;14(3):577-83.
  • Zheng Y, Shojaei-Baghini E, Wang C, Sun Y. Microfluidic characterization of specific membrane capacitance and cytoplasm conductivity of single cells. Biosensors and Bioelectronics. 2013;42:496-502.

Younes Ra’di


Sc.D., Aalto University, 2015

Research Interests:

  • Theoretical and Applied Electromagnetics
  • RF and Microwave Engineering
  • Antennas and Propagation
  • Electromagnetics of Artificial Materials and Surfaces  

Current Research:

His research is mainly focused on engineering fields and waves, with emphasis on tailoring electromagnetic wave-matter interactions. In this context, he has made several scientific contributions on a broad range of topics in theoretical and applied electromagnetics and optics, including engineered RF/microwave materials, antennas and propagation, functional metasurfaces, plasmonics, and nanophotonics. Working with three leading research groups in the field of engineering light-matter interaction, he has successfully put forward fundamentally new concepts and ideas to go beyond the limitations of conventional designs and have investigated theoretically, numerically, and experimentally innovative aspects of wave interaction with engineered structures.

Pankaj K. Jha


Ph. D., Physics, Texas A&M University

Masters of Science (5-Year Integrated), Physics, Indian Institute of Technology, Kanpur (IITK)

Areas of Expertise:

  • Quantum information science
  • Quantum sensing and metrology
  • Quantum nano- and meta-photonics
  • Bio-inspired materials
  • Bio-nano ​interfaces
  • Machine learning

Jha’s research focuses on developing quantum hardware using two-dimensional materials and heterostructures, III-V semiconductors, nanostructures, soft-materials, metamaterials, and hybrid combination of these materials. His research seeks to understand fundamental characteristics of these systems through combined experimental, theoretical, and computational studies and use those findings to gain control and induce novel optical, electrical, thermal, and mechanical responses in them. These responses, in turn, are leveraged to develop transformative devices and technologies for quantum information science, quantum sensing and metrology, nanophotonics, optoelectronics, and space exploration applications. Thus, his interdisciplinary research crosses the conventional scientific boundaries to merge applied physics with electrical engineering, materials science, and mechanical engineering.

Honors and Awards:

  • Tingye Li Innovation Prize for Early Career Professionals (Finalist): 2016.
  • American Physical Society, Travel Grant: 2011.
  • Herman F. Heep and Minnie Belle Heep Foundation Graduate Fellowship: 2010.
  • Robert A. Welch Foundation Graduate Fellowship: 2009-2012.

Selected Publications:

  • P. K. Jha*, H. Akbari*, Y. Kim*, S. Biswas, and H. A. Atwater, “Nanoscale axial position and orientation measurement of hexagonal boron nitride quantum emitters using a tunable nanophotonic environment,” Nanotechnology 33, 015001 (2022).
  • L. Kim*, S. Kim*, P. K. Jha, V. W. Brar, and H. A. Atwater, “Mid-Infrared radiative emission from bright hot plasmons in graphene,” Nat. Mater. 20, 805 (2021).
  • H. Ramezani, P. K. Jha, Y. Wang, and X. Zhang, “Nonreciprocal Localization of Photons,” Phys. Rev. Lett. 120, 043901(2018).
  • P. K. Jha, M. Mrejen, J. Kim, C. Wu, Y. Wang, Y. V. Rostovtsev, and X. Zhang, “Coherence-Driven Topological Transition in Quantum Metamaterials,” Phys. Rev. Lett. 116, 165502 (2016).
  • P. K. Jha*, X. Ni*, C. Wu, Y. Wang, and X. Zhang, “Metasurface-Enabled Remote Quantum Interference,” Phys. Rev. Lett. 115, 025501 (2015).
  • K. E. Dorfman, P. K. Jha, D. V. Voronine, P. Genevet, F. Capasso, and M. O. Scully, “Quantum-Coherence- Enhanced Surface Plasmon Amplification by Stimulated Emission of Radiation,” Phys. Rev. Lett. 111, 043601 (2013).

Anupam Pandey

Lab/ Center/ Institute affiliation – BioInspired Institute

Areas of Expertise:

  • Soft Matter
  • Elasticity
  • Capillarity
  • Viscous flow

Pandey’s primary research interest is understanding the mechanics of soft and squishy materials such as elastomers, hydrogels, and polymer melts. At a low energetic cost these materials can bend, fold, crease, pop or snap, exhibiting a variety of large (sometimes singular) and fast deformations. Their response emerge from an intricate coupling between geometry and material (surface and bulk) properties. Combining experimental, theoretical and numerical tools Pandey studies how soft materials behave when they are adhered to other substrates, wetted by liquid drops, or exposed to a flow. Leveraging this fundamental knowledge, Pandey’s research lab aims to advance the development of flexible and wearable electronics, sensors and actuators for soft robotics and smart, functional surfaces. 

Honors and Awards:

  • Active learning initiative fellowship at Cornell (2021).
  • International Congress of Theoretical and Applied Mechanics (ICTAM) Travel Award (2016).
  • Pratt Presidential Graduate Fellowship at Virginia Tech (2011).

Selected Publications:

  • A. Pandey, J. Yuk, B. Chang, F. Fish, and S. Jung, Slamming dynamics of diving and its implications for diving-related injuries, Science Advances 8, eabo5888, 2022. 
  • A. Pandey, C. L. Nawijn, and J. H. Snoeijer, Hydrogel menisci: Shape, interaction, and instability, EPL (Europhysics Letters), 122, 3, 2018.
  • S. Karpitschka, A. Pandey, L. A. Lubbers, J. H. Weijs, L. Botto, S. Das, B. Andreotti, and J. H. Snoeijer, Liquid drops attract or repel by the inverted cheerios effect, Proceedings of the National Academy of Sciences, 113, 7403, 2016.

Kasey Laurent


  • Ph.D. Theoretical and Applied Mechanics, Cornell University, 2023
  • B.S. Aerospace Engineering and Mechanics, University of Minnesota – Twin Cities, 2017

Research Interests:

  • Experimental Fluid Dynamics
  • Bio-Inspired Flight and Swimming
  • Bio-Inspired Noise Mitigation
  • UAV Flight Performance in Wind

Dr. Laurent’s research focuses on the role of turbulence and fluid dynamics on aerodynamic performance. She explores both biological and man-made vehicle flight. In her work studying golden eagles, she found a strong relationship between the motion of the bird and the small-scale turbulence experienced by the bird when soaring. These results indicate a need to fully incorporate an understanding of turbulence into our understanding of eagle movements, with implications for other natural and artificial fliers. In the Laurent Fluid Dynamics Lab, her research aims to find engineering solutions to challenges in the field of unmanned aerial vehicles (UAVs) by exploring both biological flight and swimming.

Selected Publications:

Laurent, K. M., Fogg, B., Ginsburg, T., Halverson, C., Lanzone, M. J., Miller, T. A., … & Bewley, G. P. (2021). Turbulence explains the accelerations of an eagle in natural flight. Proceedings of the National Academy of Sciences118(23), e2102588118.

Laurent, K., La Ragione, L., Jenkins, J. T., & Bewley, G. P. (2022). How vertical oscillatory motion above a saturated sand bed leads to heap formation. Physical Review E105(5), 054901.

Alexander Deyhim


1998 MBA, Cornell University, Ithaca, NY

1993 Master of Engineering, Mechanical Engineering, Cornell University, Ithaca, NY

1987 B.S. Mechanical Engineering, University of Reading, Reading, England

Program Affiliations

Director, Invent@SU

Areas of Expertise:

  • Fundamentals of engineering
  • Engineering design/project management
  • Entrepreneurship

Prof. Deyhim brings three decades of industry and entrepreneurship experience to SU. After working as an engineer for Ford Motor Company, he founded Advanced Design Consulting (ADC) USA Inc. in Lansing, NY. For over 25 years, he managed contracts with government laboratories, international organizations and academic institutions designing complex scientific instruments. Clients included NASA, Argonne National Laboratory, ITER, Army Special Forces and similar organizations in more than 26 countries around the world.

He has a passion for bringing his industry experience and expertise into the classroom and especially enjoys guiding students in the design and delivery of innovative technical projects. He has a vast network of industry partners who are eager to work with engineering students. In his previous role as Associate Director of the MSE M.Eng. Program at Cornell University, Prof. Deyhim recruited a number of leading technical companies, including Satomer, ams, Applied Materials, Boeing, Borg Warner, Corning, Moog, Intel, Exxon Mobile and Universal Instruments, to provide hands-on projects for his students. Prof. Deyhim looks forward to continuing to build industry partnerships to create amazing opportunities for the MAE students at Syracuse University.

Courses Taught:

Honors and Awards:

  • MAE Teaching Excellence Award, 2023

Selected Presentations/Publications:

  • “Development of a Precision Model Positioning System for a Multi-Use Electromagnetic Test Facility at NASA Langley Research Center”  AMTA 36th Annual Meeting & Symposium Tucson, Arizona | Oct 12 – 17, 2014
  • “Development of A Super-Mini Undulator” 2011 Particle Accelerator Conference (PAC’11) March 28 – April 1, 2011 NY USA 
  • “Embedded Sensors for Life-Time Monitoring of Concrete” 4th International Conference on Structural Health Monitoring on Intelligent Infrastructure (SHMII-4) 2009 22-24 July 2009, Zurich, Switzerland
  • “Development of a 100 mm Period Hybrid Wiggler for the Australian Synchrotron Project” 22nd Particle Accelerator Conference, June 25 – 29, 2007 USA

Min Liu


  • Ph.D. in Engineering Project Management, University of California Berkeley, 2007
  • Master of Science in Building Science, National University of Singapore, 2001
  • Master of Science in Civil Engineering, Xi’an University of Architecture and Technology; Concentration: Construction Engineering Management, 1997
  • Bachelor of Science in Civil Engineering, Qingdao Institute of Architecture and Engineering; Concentration: Structural Engineering, 1994

Areas of Expertise:

  • Lean Construction techniques for construction productivity improvement.
  • Work module development for Digital Twin design.
  • Using data mining and machine learning approaches for intelligent construction planning.
  • Integration of project information into visualization and simulation models.
  • Project control systems and field management technologies.

Dr. Liu’s field is developing innovative approaches and generating knowledge on how to integrate the Human and Engineering aspects of construction planning to improve productivity and project performance. She has published over 40 articles in top-ranked journals in Construction Engineering and Management. Her recent research on using the Information Theory approach to quantify information exchange effectiveness in construction planning won the 2021 American Society of Civil Engineers (ASCE) Thomas Fitch Rowland award. Her work has also received the Best Paper Awards from the 2018 International Group of Lean Construction Conference and 2017 Lean and Computing in Construction Congress.

Dr. Min Liu was the Chair of ASCE Construction Research Council (CRC) from 2020 to 2021. The CRC has over 400 members as construction faculty from universities worldwide and is recognized as the premier forum for construction engineering and management research internationally. Dr. Liu has also served as the Associate Specialty Editor for ASCE Journal of Management in Engineering since 2016 and the Assistant Specialty Editor in Labor and Personnel Issues for ASCE Journal of Construction Engineering and Management since 2009. She was selected as the Outstanding Reviewer by the ASCE Journal of Construction Engineering and Management in 2017 and 2015.

Honors and Awards:

  • 2021 – ASCE Thomas Fitch Rowland Prize for the paper, “Improving Effectiveness of Constraints Removal in Construction Planning Meetings: An Information Theory based Approach.”
  • 2021 – Featured by ASCE Construction Institute (CI) in the newsletter “Women leaders in Construction”.
  • 2018 – Best Paper Award, “Constraints and Reliable Workplan: A Case Study of Bridge Project”, 26th International Group of Lean Construction, Chennai, India, July 2018. 
  • 2011, 2014, 2018 – Thank a Teacher Recipient
  • 2017 – Best Paper Award, “Factors Affecting Bid Let Dates on Transportation Mega Projects.”, 2017 Lean and Computing in Construction Congress, Crete, Greece, 2017.
  • 2015, 2017 – Outstanding Reviewer, awarded by the ASCE Journal of Construction Engineering and Management
  • 2014 – 2022 – Edward I. Weisiger Distinguished Scholar, North Carolina State University

Selected Publications:

*Graduate student advised by Dr. Min Liu, **Corresponding author

Schiavone,V., Scala, N., Olivieri, H., Seppänen,O., Alves, T., Liu, M., Granja, A. (2022). “Comparative Analysis of the Implementation of Critical Path Method, Last Planner System, and Location-Based Techniques in Brazil, Finland, and the United States” Accepted by Engineering Management Journal in March 2022. 

He, C.*, Liu, M.**, Scala, N., Liu, M., Alves, T., and Hsiang, S. (2022). “Prioritizing Collaborative Scheduling Practices based on Their Impact on Project Performance.” Accepted by Journal of Management and Economics in February 2022. 

Scala, N., Liu, M., Alves, T., and Hawkins, D., Schiavone, V. (2022). “The Gold Standard: A Collaborative Scheduling Maturity Model” Engineering, Construction, and Architectural Management, published online in January 2022. 

He, C.*, Liu, M.**, Wang, Z., Zhang, Y., Hsiang, S., Chen, G., Chen, J. (2022). “Space-Time-Manpower Visualization and Conditional Capacity Planning in Uncertainty.” Accepted by ASCE Journal of Construction Engineering and Management in January 2022. 

McCoy, B. C.*, Bourara, Z., Lucier, G.W., Seracino, R., and Liu, M. (2021). “Prestressed MF-FRP: An Experimental Study of a Rapid Retrofit Concept for Deteriorated Prestressed C-Channel Beams.” ASCE Journal of Performance of Constructed Facilities, 35(1), 1-10. https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CF.1943-5509.0001536

Zhang, Y., Javanmardi, A.*, Liu, Y., Yang, S., Yu, X., Hsiang, S., Jiang, Z., and Liu, M.** (2020). “How Does Experience of Delay Shape Managers’ Making-do Decision: A Random Forest Approach.” ASCE Journal of Management in Engineering, 36(4), 04020030. Open Access: https://ascelibrary.org/doi/full/10.1061/%28ASCE%29ME.1943-5479.0000776

Javanmardi, A. *, Hosseini, A. *, Liu, M.,** Hsiang, S. (2020). “Improving Effectiveness of Constraints Removal in Construction Planning Meetings: An Information-theory based Approach.” ASCE Journal of Construction Engineering and Management, 146(4), 04020015. https://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001790

Alves, T., Liu, M., Scala, N., Javanmardi, A.* (2020). “Schedules and Schedulers: A Study in the U.S. Construction Industry.” Engineering Management Journal, 32(3), 166-185. https://www.tandfonline.com/doi/abs/10.1080/10429247.2020.1738878?journalCode=uemj20

Olivieri, H., Seppänen, O., Alves, T., Scala, N., Liu, M., and Granja, A. (2019) “A survey comparing Critical Path Method, Last Planner System, and Location-Based techniques.” ASCE Journal of Construction Engineering and Management, 145(12), 04019077. https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CO.1943-7862.0001644

Hosseini, A.*, Liu, M.**, Howell, G. (2018). “Investigating the Cost Benefit Tradeoff of Additional Planning Using Parade Game Simulation.” ASCE Journal of Management in Engineering, 34(2), 04017066. https://ascelibrary.org/doi/full/10.1061/%28ASCE%29ME.1943-5479.0000580?src=recsys

Javanmardi, A.*, Hosseini, A., Liu, M.**, Hsiang, S. (2018). “Benefit of Cooperation among Subcontractors in Performing High-Reliability Planning.” ASCE Journal of Management in Engineering, 34(2), 04017062. https://ascelibrary-org.prox.lib.ncsu.edu/doi/10.1061/%28ASCE%29ME.1943-5479.0000578

Hosseini, A.*,Liu, M.**,  Hsiang, S.(2017). “Social Network Analysis for Construction Crews.” Published online by International Journal of Construction Management  in November 2017.  http://www.sciencedirect.com/science/article/pii/S0926580517300195

Hosseini, A.*, Liu, M.**, Hsiang, S. (2017). “Social Network Conformity and Construction Work Plan Reliability.” Automation in Construction,  78(1), 1-12. http://www.tandfonline.com/doi/abs/10.1080/15623599.2017.1389642

Russell, M. *, Hsiang, M., Liu, M.**, and Leming, M. (2016). “Causes of Time Buffer and Duration Variation in Construction Project Tasks.” Construction Management and Economics, 33(10), 783-798. http://www.tandfonline.com/doi/abs/10.1080/01446193.2015.1137335?journalCode=rcme20

Hajifathalian, K.*, Howell, G., Wambeke, B.*, Hsiang, S., and Liu, M.** (2016). ““Oops” Simulation: Cost–Benefits Trade-Off Analysis of Reliable Planning for Construction Activities.” ASCE Journal of Construction Engineering and Management, 142(8), 04016030. http://ascelibrary.org/doi/full/10.1061/%28ASCE%29CO.1943-7862.0001135

Kwak, Y., Patanakul, P., Zwikael, O., and Liu, M. (2016). “What Impacts the Performance of Large Scale Government Projects?” International Journal of Project Management, 34(3), 452-466. http://www.sciencedirect.com/science/article/pii/S0263786315001921

Hosseini, A.*, Leming, M. and Liu, M.** (2015). “Effects of Idle Time Restrictions on Excess Pollution from Construction Equipment.” ASCE Journal of Management in Engineering, 32(2), 04015046. http://ascelibrary.org/doi/abs/10.1061/(ASCE)ME.1943-5479.0000408

Hosseini, A.*, Liu, M.**, and Leming, M. (2015). “Comparison of Least-Cost and Least-Pollution Equipment Fleet Configurations Using Computer Simulation.” ASCE Journal of Management in Engineering, 31(6), 04015003.http://ascelibrary.org/doi/abs/10.1061/(ASCE)ME.1943-5479.0000360

Russell, M. *, Liu, M.**, Howell, G., and Hsiang, S. and Leming, M. (2015). “Case Studies into the Allocation and Reduction of Time Buffer Through Uses of Last Planner System.” ASCE Journal of Construction Engineering and Management, 141(2), 04014068. http://ascelibrary.org/doi/abs/10.1061/(ASCE)CO.1943-7862.0000900

Hosseini, A.*, Leming, M., Liu, M.**, Hsiang, S. (2014). “From Social Network to Data Envelopment Analysis: Identifying Benchmarks at the Site Management Level.” ASCE Journal of Construction Engineering and Management, 140(8), 04014028.http://ascelibrary.org/doi/abs/10.1061/(ASCE)CO.1943-7862.0000875

Russell, M. *, Hsiang, M., Liu, M.**, and Wambeke, B.Wambeke, (2014). “Causes of Time Buffer and Duration Variation in Construction Project Tasks.” ASCE Journal of Management in Engineering, 140(6), 04014016. http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CO.1943-7862.0000819

Wambeke, B.*, Liu, M.**, and Hsiang, S. (2013). “Task Variation and the Social Network of Construction Trades.” ASCE Journal of Management in Engineering, 05014008, 30(4).http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29ME.1943-5479.0000219

Russell, M. *, Howell, G., Hsiang, M., and Liu, M.** (2013). “The Application of Time Buffers to Construction Project Task Durations.” ASCE Journal of Construction Engineering and Management,139(10), 04013008.http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CO.1943-7862.0000735

Vaughan, J.*, Leming, M., Liu, M.**, and Jaselskis, E. (2013). “Cost-Benefit Analysis of Construction Information Management System Implementation-A Case Study.” ASCE Journal of Construction Engineering and Management,139(4), 445-455. http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CO.1943-7862.0000611

Liu, M., Rasdorf, W., Hummer, J., Hollar, D.*, and Parikh, S.* (2013). “Preliminary Engineering Cost-Estimation Strategy Assessment for Roadway Projects.” ASCE Journal of Management in Engineering, 29(2), 150-157. http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29ME.1943-5479.0000137

Hollar, D.*, Rasdorf, W., Liu, M., Hummer, J.E., Arocho, I., and Hsiang, S. (2013). “A Preliminary Engineering Cost Estimation Model for Bridge Projects.” ASCE Journal of Construction Engineering and Management, 139(9), 1259–1267. http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CO.1943-7862.0000668

Wambeke, B.*, Liu, M.**, and Hsiang, S.(2012). “Using Pajek and Centrality Analysis to Identify a Social Network of Construction Trades.”ASCE Journal of Construction Engineering and Management, 138(10), 1192-1201.http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CO.1943-7862.0000524

Hajifathalian, K.*, Wambeke, B.*, Liu, M.**, and Hsiang, S. (2012). “Effects of Working Strategy and Duration Variance on Productivity and Work in Progress.” ASCE Journal of Construction Engineering and Management, 138(9), 1035-1043.http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CO.1943-7862.0000517

Wang, C.*,Liu, M.**, Hsiang, S., and Leming, M. (2012). “Causes and Penalties of Variation – A Case Study of a Precast Concrete Slab Production Facility.” ASCE Journal of Construction Engineering and Management, 138(6), 775-785. http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CO.1943-7862.0000475

Wambeke, B.*, Liu, M.**, and Hsiang, S.(2012). “Using Last Planner ™ and a Risk Assessment Matrix to Reduce Variation in Mechanical Related Construction Tasks.” ASCE Journal of Construction Engineering and Management, 138(4), 491-498. http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CO.1943-7862.0000444

Wang, Y. and Liu, M. (2012). “Prices of Highway Resurfacing Projects in Economic Downturn: Lessons Learned and Strategies Forward.” ASCE Journal of Management in Engineering, 28(4), 391-397. http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29ME.1943-5479.0000094

Wambeke, B.*, Hsiang, S., and Liu, M.** (2011). “Causes of Variation in Construction Project Task Starting Times and Duration.” ASCE Journal of Management in Engineering,, 137(9), 663-677.http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CO.1943-7862.0000342

Natarajan Gautam

Areas of Expertise:

  • Stochastic modeling, control, and optimization
  • Data science: predictive and prescriptive analytics
  • Logistics and scheduling
  • Energy management
  • Queues and networks

Dr. Gautam’s research is on efficiently-operating systems with dynamics and uncertainty. He uses data-driven methods complemented by stochastic models for optimal design, performance analysis, and control of such systems. He has applied this work in computer systems, data centers, wireless and wireline networks, microgrids with renewable energy sources, smart manufacturing, and transportation. His methodologies are grounded in applied probability, data science, and optimization.

Honors and Awards:

  • Amazon Scholar, Amazon Corporate LLC, May 2019-present.
  • Fellow, IISE (Institute of Industrial and Systems Engineers, formerly IIE), May 2017.
  • Outstanding Young Industrial Engineer Award (education category), by IIE, May 2006.

Selected Publications:

  • Xu, J., Hou, I.-H. and Gautam, N. (2022) Age of information for single buffer systems with vacation server, IEEE-Trans. on Network Science and Engineering, Vol. 9, No. 3, 1198 – 1214.
  • Xu, J. and Gautam, N. (2021) Peak Age of Information in Priority Queueing Systems, IEEE Transactions on Information Theory, Vol. 67, No. 1, 373-390.
  • Ejaz, I., Alvarado, M., Gautam, N., Gebraeel, N. and Lawley, M. (2019) Condition-Based Maintenance for Queues with Degrading Servers, IEEE Transactions on Automation Science and Engineering, Vol. 16, No. 4.
  • Kwon, S., Ntaimo, L. and Gautam, N. (2019) Demand Response in Data Centers: Integration of Server Provisioning and Power Procurement, IEEE Transactions on Smart Grid, Vol. 51, No. 4.
  • Xu, J., Tran, H., Gautam, N. and Bukkapatnam, S. (2019) Joint Production and Maintenance Operations in Smart Custom-Manufacturing Systems, IISE Transactions, Vol. 51, No. 4, 406-421.
  • Kwon, S., Ntaimo, L. and Gautam, N. (2017) Optimal Day-Ahead Power Procurement with Renewable Energy and Demand Response, IEEE Transactions on Power Systems, Vol. 32, No. 5, 3924-3933.
  • Hsu, Y., Abedini, N., Gautam, N., Sprintson, A. and Shakkottai, S.  (2015) Opportunities for Network Coding: To Wait or Not to Wait, IEEE Transactions on Networking, Vol. 23, No. 6, 1876 – 1889.
  • Mohapatra, A., Gautam, N., Sprintson, A. and Shakkottai, S. (2014) Optimal Network Coding Decisions in Delay-sensitive Wireless Transmission, IEEE Transactions on Communications, Vol. 62, No. 8, 2965-2976.
  • Ko, Y.-M. and Gautam, N. (2013) Critically loaded multi-server queues with abandonments, retrials, and time-varying parameters, INFORMS Journal on Computing, Vol. 25, No. 2, 285-301.
  • Gautam, N. (2012) Analysis of Queues: Methods and Applications, 802 pages, CRC Press (Taylor and Francis), Boca Raton, FL.

Teng Zeng


  • Ph.D. Civil Engineering, University of Minnesota, 2012.
  • M.S. Environmental Science and Engineering, Singapore Stanford Partnership, 2007.
  • B.S. Environmental Science, Tongji University, 2006.

Areas of Expertise:

  • Occurrence and fate of organic micropollutants
  • Photochemical and redox reactivity of organic matter
  • Byproduct formation and control in water treatment
  • Wastewater surveillance for substance use assessment

Our research is centered on the interface of environmental engineering and chemistry. We study chemical processes in natural and engineered aquatic systems and are broadly interested in topics related to water quality, contaminant fate, and wastewater surveillance. Our research projects involve field work, organic trace analytics, and fate process modeling. Our team consists of graduate and undergraduate students from diverse backgrounds. We collaborate with faculty members from multiple disciplines as well as researchers from other academic institutions and research organizations.


  • NSF CAREER Award, National Science Foundation (2022)
  • Mentor of the Year, Center for Fellowship & Scholarship Advising, Syracuse University (2022)
  • Meredith Teaching Recognition Award, Syracuse University (2020)
  • North America New Chemist Travel Award, Society of Environmental Toxicology & Chemistry (2017)
  • Ralph E. Powe Junior Faculty Enhancement Award, Oak Ridge Associated Universities (2017)
  • ExCEEd Teaching Fellowship, American Society of Civil Engineers (2016)

Selected Publications:

  • Wasswa, J.; Driscoll, C. T.; Zeng, T., Contrasting impacts of photochemical and microbial processing on the photoreactivity of dissolved organic matter in an Adirondack Lake watershed. Environmental Science & Technology, 2022, 56, (3), 1688-1701.
  • Wang, S.; Wasswa, J.; Feldman, A. C.; Kabenge, I.; Kiggundu, N.; Zeng, T., Suspect screening to support source identification and risk assessment of organic micropollutants in the aquatic environment of a Sub-Saharan African urban center. Water Research 2022, 220, 118706.
  • Wang, S.; Perkins, M.; Matthews, D. A.; Zeng, T., Coupling suspect and nontarget screening with mass balance modeling to characterize organic micropollutants in the Onondaga Lake–Three Rivers system. Environmental Science & Technology, 2021, 55, (22), 15215-15226.
  • Wasswa, J.; Driscoll, C. T.; Zeng, T., Photochemical characterization of surface waters from lakes in the Adirondack Region of New York. Environmental Science & Technology 2020, 54, (17), 10654-10667.
  • Wang, S.; Matt, M.; Murphy, B. L.; Perkins, M.; Matthews, D. A.; Moran, S. D.; Zeng, T., Organic micropollutants in New York lakes: A statewide citizen science occurrence study. Environmental Science & Technology 2020, 54, (21), 13759-13770.
  • Wang, S.; Green, H. C.; Wilder, M. L.; Du, Q.; Kmush, B. L.; Collins, M. B.; Larsen, D. A.; Zeng, T., High-throughput wastewater analysis for substance use assessment in central New York during the COVID-19 pandemic. Environmental Science: Processes & Impacts, 2020, 22, (11), 2147-2161.

Teng Zhang


  • Ph.D. Brown University, 2015
  • M.S. Dalian University of Technology, 2010
  • B.S. Dalian University of Technology, 2007

Lab/ Center Affiliation:

BioInspired Institute

Areas of Expertise:

  • Solid mechanics
  • Solid Mechanics
  • Mechanics of instabilities
  • Mechanics of interfaces
  • Mechanics of morphing

Dr. Zhang group’s research goal is to solve grand challenges where mechanics can play an important role and harness mechanics as an enabling tool to design smart materials and structures for future sustainability. Built on the core strength of mechanics, my group actively engage in highly interdisciplinary works, such as food design, smart materials, and biofilms. Examples of on-going projects include:

  • Harnessing instabilities and active materials to design reconfigurable structures
  • Bio-inspired hybrid liquid and solid systems enabled by elasto-capillary and hygro-mechanical couplings
  • Mechanics guided shape-changing food

The fundamental mechanics understanding could also provide design principles of robotics and biomedical devices and establish virtual platforms for simulating and controlling them, especially for those with highly nonlinear deformation in complicated working environments (e.g., endovascular neurosurgery and smart catheters).

Honors and Awards:

  • 2021    Soft Matter Emerging Investigator
  • 2019    Faculty Early Career Development (CAREER) Award, National Science Foundation
  • 2015    Outstanding thesis, Brown University’s School of Engineering

Selected Publications:

  • Chao Chen, and Teng Zhang. Coupling lattice model and many-body dissipative particle dynamics to make elastocapillary simulation simple. Extreme Mechanics Letters 54 (2022): 101741.
  • Ye Tao, Yi-Chin Lee, Haolin Liu, Xiaoxiao Zhang, Jianxun Cui, Catherine Mondoa, Mahnoush Babaei, Jasio Santillan, Guanyun Wang, Danli Luo, Di Liu, Humphrey Yang, Youngwook Do, Lingyun Sun, Wen Wang, Teng Zhang, and Lining Yao. Morphing Pasta and Beyond.  Science Advances 7, no. 19 (2021): eabf4098.
  • Yi Li, Samuel J. Avis, Junbo Chen, Guangfu Wu, Teng Zhang, Halim Kusumaatmaja, and Xueju Wang. Reconfiguration of multistable 3D ferromagnetic mesostructures guided by energy landscape surveys. Extreme Mechanics Letters (2021): 101428.
  • Oleh Tovkach, Junbo Chen, Monica M. Ripp, Teng Zhang, Joseph D. Paulsen, and Benny Davidovitch. Mesoscale structure of wrinkle patterns and defect-proliferated liquid crystalline phases. Proceedings of the National Academy of Sciences 117, no. 8 (2020): 3938-3943.
  • Xiaoxiao Zhang, Patrick T. Mather, Mark J. Bowick, and Teng Zhang. Non-uniform Curvature and Anisotropic Deformation Control Wrinkling Patterns on Tori. Soft matter (2019).
  • T. A. Engstrom, Teng Zhang, A. K. Lawton, A. L. Joyner, and J. M. Schwarz. Buckling without bending: a new paradigm in morphogenesis. Physical Review X8, no. 4 (2018): 041053.

Jianshun “Jensen” Zhang


  • Ph.D., University of Illinois and Urbana-Champaign; 1991
  • M.S. and B.S. Beijing Agr. Eng. University; 1982 and 1985

Lab/Center Affiliations

Areas of Expertise:

  • Material Emissions, Air Purification, Ventilation, and Indoor Air Quality
  • Hygrothermal Performance of Building Materials and Enclosure Systems
  • Building Energy and Environmental Systems
  • Built Environmental Systems Measurements, Modeling, and Controls
  • Intelligent Buildings
  • Combined Heat, Air, Moisture and Pollutant Simulations (CHAMPS)
  • Multi-disciplinary and Multi-scale Building Systems Design and Optimization
  • Effects of indoor environmental quality on occupant exposure, productivity, and creativity

Professor Zhang’s research ranges multi-scale BES from nano/micro-scale in porous media to buildings and urban environment and involves engineering, architectural design, human health, and performance. Major ongoing research projects are:

  1. Virtual Design Studio (VDS): development of a digital platform for an integrated and coordinated design of green buildings. The project involves close collaboration between engineers and architects to develop a designer-oriented software tool for performance-based building system design.
  2. BM-IDC: Building monitoring and intelligent diagnosis and control. Using a full-scale testbed, a “Virtual Building” based near real-time monitoring system is developed and deployed to collect essential data for fault detection and diagnosis, and improvement of building operation.
  3. CHAMPS: Development of combined heat, air moisture, and pollutant simulation software for building system design and control optimization. The CHAMPS simulation environment includes a whole building model, an enclosure model, an HVAC mode and a room model. It is supported by a collection of shared databases of weather, materials and assemblies, pollutants, sources, and sinks. Reduced-order models will be developed for near-real-time simulation in design and predictive control in the operation of buildings.
  4. ME-IAQ: Material emissions and indoor air quality. A model-based approach is taken to develop fundamental mass transfer models with essential model parameters determined from experiments. The research leads to better models for performance prediction and better test methods for evaluating both short and long-term emissions.
  5. ACT-IAQ: Air cleaning technologies and indoor air quality. A model-based approach is taken to develop better test methods, evaluate the performance of existing air cleaning technologies, and develop new ones for improving indoor air quality.
  6. BEST: Building enclosure system technologies. This research includes experimental measurements and modeling of the hygrothermal (thermal and moisture) storage and transport properties of various building materials, model prediction of their impact on enclosure assembly performance, and full-scale evaluation and validation at reduced and full-scale setting under both laboratory and field conditions.
  7. Effects of IEQ on human performance. Human subject study is performed using a total environmental quality research facility. The focus is on how the improved thermal and air quality via personal ventilation would impact the performance of creativity and productivity of building occupants.

Honors and Awards:

  • 2019 ASHRAE Research Administration Committee Service in ASHRAE Research Award
  • 2018 ASHRAE Central New York Chapter Award for Contributions to Research and Education in HVAC and IAQ.
  • Elected Fellow of ASHRAE, 2012
  • Frontier Foreign Expert Award, State Administration of Foreign Experts Affairs, the P.R. China, 2012
  • Shiyuan Chair Professorship from Nanjing University, China, 2011
  • Best Paper of the Year award, Building Simulation—an International Journal, 2010
  • Elected and active member of The ISIAQ Academy of Fellows, International Society of Indoor Air Quality and Climate, 2009
  • ASHRAE Distinguished Service Award, ASHRAE, 2008
  • JSPS Fellowship, Japanese Society for Promotion of Scientific Exchange, 2007
  • Otto Monsted Professorship from Technical University of Denmark, 2006
  • Citation by New York State Governor George E. Pataki in his 2003 State of the State address for scientific contributions to the development of the Syracuse Center of Excellence in Environmental Systems, 2003
  • American Council of Engineering Companies (ACEC) National Finalist Award and New York State Diamond Award for the development of the Coupled Indoor/Outdoor Environmental Simulator (C-I/O-ES) of the Building Energy and Environmental Systems Laboratory (BEESL), 2003
  • ASHRAE Certification of Appreciation Award, 1999
  • IRC/NRC Outstanding Research Achievement Award, 1999
  • Second place paper award at the Healthy Buildings/IAQ 97 international conference, Washington, DC, 1997
  • IRC/NRC Outstanding Research Achievement Award, 1995
  • Best paper award at the 5th International Jacques Cartier Conference on Indoor Air Quality, Ventilation and Energy Conservation, 1992
  • Outstanding research paper award (top 2.5%) by the American Society of Agricultural Engineers, 1989
  • Phi Kappa Phi and Alpha Epsilon honor societies, 1989
  • Excellent student awards, BAEU, 1980

Select Publications

Dung, A., J. Zhang and Z. Liu. 2021. Impact of humidity on formaldehyde and moisture buffering capacity of porous building material. Journal of Building EngineeringVolume 36, April 2021, 102114. https://doi.org/10.1016/j.jobe.2020.102114.

Zhao, J., J. Zhang, J. Grunewald and S. Feng. 2021. A probabilistic-based method to evaluate hygrothermal performance of an internally insulated brick wall. Building Simulation. Volume 14, 283-299.

Liu, Z., A. Nicolai, M. Abadie, M. Qin, J. Grunewald and J. Zhang. 2021. Development of a procedure for estimating the parameters of mechanistic VOC emission source models from chamber testing data. Building Simulation.Volume 14, pages269–282.

Shen, J., B. Krietemeyer, A. Bartosh, Z. Gao, J. Zhang. 2020. Green Design Studio: A modular-based approach for high-performance building design. BUILD SIMULATION – an International Journal. https://doi.org/10.1007/s12273-020-0728-9.

Zhou, S., Z. Liu, Wang, C.J. Young, T.C. VandenBoer, B. Guo,J. Zhang, N. Carslawand T. Kahan. 2020. Hydrogen Peroxide Emission and Fate Indoors during Non-bleach Cleaning: A Chamber and Modeling Study. Environ. Sci. Technol.2020, 54, 24, 15643–15651. https://doi.org/10.1021/acs.est.0c04702

Lv, Yang, Xi Chen, Shanshan Wei, Rui Zhu, Beibei Wang, Bin Chen, Meng Kong, Jianshun (Jensen) Zhang. 2020. Sources, concentrations, and transport models of ultrafine particles near highways: A Literature Review. Building and Environment 186 (2020) 107325

Afshari, A., L. Ekberg, L. FOREJT, J. MO , S. RAHIMI, J. SIEGEL, W. CHEN, P. WARGOCKI, S. ZURAMI, J. ZHANG. 2020. Electrostatic Precipitators as an Indoor Air Cleaner—A Literature Review.  Journal of Sustainability12Issue 2110.3390/su12218774

Zhang, J. 2020 Integrating IAQ control strategies to reduce the risk of asymptomatic SARS CoV-2 infections in classrooms and open plan offices, Science and Technology for the Built Environment, 26:8, 1013-1018, DOI: 1080/23744731.2020.1794499

Han, K. and J. Zhang. 2020. Energy-efficient building system integration with a smart and low cost sensing/control network for sustainable and healthy office environments: Demonstration case study. Energy and Buildings. Elsevier. https://doi.org/10.1016/j.enbuild.2020.109861

Rui Zhang, Jensen Zhang, Roger Schmidt, Jeremy Gilbert, Beverly Guo (December 2019). Effects of Moisture Content, Temperature and Pollutant Mixture on Atmospheric Corrosion of Copper and Silver and Implications for the Environmental Design of Data Centers (RP-1755). Science and Technology for the Built Environment.  December 2019,  DOI: 10.1080/23744731.2019.1701331

Kong, M., Zhang, J., Dang, T. Q., Hedge, A., Teng, T., Carter, B., Ezzat Khalifa, H. (2019). Micro-environmental control for efficient local cooling: Results from manikin and human participant tests. Building and Environment160, [106198]. https://doi.org/10.1016/j.buildenv.2019.106198

Meng Kong, T. Dang, J. Zhang, and H. E. Khalifa. Micro-environmental control for efficient local heating: CFD simulation and manikin test verification. Building and Environment. 147 (2019) 382-396, (DOI) 10.1016/j.buildenv.2018.10.018

Zhang⁠, S., Shapiro, S⁠., Gehrke⁠, G., Castner, J.⁠, Liu, Z.⁠, Guo⁠, B., Prasad⁠d, R., Zhang, J., Haines⁠e⁠, S., Kormos⁠f, D., Frey⁠h, P., Qin⁠, R., and Dannemiller, K. C. 2018. Smartphone app for residential testing of formaldehyde (SmART-Form). Building and Environment.

Han, K.H., Zhang, J.S. and Guo, B. (2018). Caveats and Technical Challenges in Performance Evaluation of Activated Carbon (AC) and Non-AC Filtration for NO2 Abatement toward Energy-efficient and Healthy Ventilation. Journal of Hazardous Materials. 360:560-570. doi: 10.1016/j.jhazmat.2018.08.006.

Synergistic Activities

  • Jianshun Zhang has 28 years of research experience in Built Environmental Systems (BES) and has authored/co-authored 100+ peer-reviewed journal papers and 100+ refereed conference papers, one book, 2 ASTM and 1 ANSI/BIFMA Standards. His research ranges multi-scale BES from nano/micro-scale in porous media to buildings and urban environment and involves engineering, architectural design, human health and performance. He leads an international group in developing methods and tools for combined heat, air, moisture and pollutant simulations (CHAMPS) for building systems.
  • He teaches graduate and undergraduate courses in the areas of building energy and environmental systems and fundamental heat and mass transfer and has advised/co-advised over 20 Ph.D. students, over 20 M.S. students, and 8 Postdoctoral Fellows.
  • He serves on the Editorial Boards of several international journals: “Energy and Buildings,” HVAC&R Research,” “Ventilation,” “Building Simulations,” “High-Rise Buildings,” and “Frontiers of Architectural Research.”
  • Zhang served on ASHRAE Environmental Health Committee (2006-present, 2011/12 Chair) and Research Administration Committee (2003-2005), and is a member of Technical and Standard Committees in the society. He is also a Voting Member of ASTM D22.05 on Indoor Air, AWMA and ISIAQ, and a U.S. Expert Representative to the ISO standard committee on air purification. He is elected Fellow of ASHRAE (2011) and ISIAQ (2009), and Member of Board of Directors of International Assoc. of Building Physics.

Reza Zafarani


  • Ph.D., Arizona State University

Research Interests:

  • Big Data Analytics
  • Data Mining / Web Mining / Social Media Mining
  • Social Network Analysis / Social Computing
  • Large-Scale Information Networks
  • Behavior Analysis

Current Research:

My research lies in the intersection of data mining, machine learning, social sciences, and theory. A common pattern in my research is to collect and analyze large scale data to glean actionable patterns. I often employ theories from social sciences, psychology, or anthropology, in addition to developing and using advanced mathematical, statistical, and machine learning machinery to prove the validity of such patterns.

Courses Taught:

  • Data Mining
  • Social Media Mining

Selected Publications:

Reza Zafarani and Huan Liu, Evaluation without Ground Truth in Social Media Research, Communications of the ACM, June 2015

Reza Zafarani, Mohammad Ali Abbasi, and Huan Liu, Social Media Mining: An Introduction, Cambridge University Press, 2014

Edmund S. Yu


  • Ph.D. in Computer Science, Syracuse University

Research Interests:

  • Text Mining
  • Social Networks
  • Social Media Mining
  • Information Retrieval
  • Multi-Agent Systems

Current Research:

Current research involves the development of algorithms for measuring the emotional contents in tweets, contained not only in words, but also in emoticons, punctuation marks and hashtags; for event prediction based on social media data; and for extending sentiment analysis to multiple languages. Current research also involves continuing work on building autonomous agent-based information gathering system for decision support.

Courses Taught:

  • Social Media Mining
  • Software Specification and Design
  • Software Implementation
  • Principles of Software Engineering
  • Web Systems

Recent Publications:

A. Panasyuk, E.S. Yu & K. Merhrotra, “Controversial Topic Discovery on Members of Congress with Twitter,” Complex Adaptive Systems, 2014.

M. Rahman, Qinyun Zhu, & E.S Yu, “TRECT: A Hashtag Recommendation System for Twitter,” 2nd International Workshop on Recommender Systems meet Big Data & Semantic Technologies, 2013.

E.S. Yu, “Social Media Marketing and Mining,” Social Media Strategies Seminar, Panama City, Panama, January 17, 2013.

E.S Yu, “From Knowledge Exchange to Knowledge Discovery,” Capstone Conference, Chicago, July 14, 2010.

Yeqing Wang


  • Ph.D., University of Iowa

Areas of Expertise:

  • Mechanics of composite materials and structures
  • Durability and damage tolerance of composite structures
  • Multifunctional composite materials
  • Advanced manufacturing of composite materials
  • Multiphysics modeling

Dr. Wang’s research goal is to understand the fundamental material behaviors and failure mechanisms of composite materials and structures under various loading conditions through mathematical modeling and experimental investigations, and then use the insights acquired to guide the design and development of novel multifunctional composite materials and structures (e.g., nanostructured, bioinspired) for improved durability and damage tolerance, as well as to guide the development and optimization of advanced manufacturing methods of composite structures.

Honors and Awards:

  • Ralph E. Powe Junior Faculty Enhancement Award, Oak Ridge Associated Universities, 2020
  • Graduate & Professional Student Government Travel Award, University of Iowa, 2016
  • Second Place Award, IWEA (Iowa Wind Energy Association) Conference Research Poster Competition, 2014
  • First Place Award, Paper Competition at the 15th Annual James F. Jakobsen Graduate Conference, University of Iowa, 2013
  • First Place Award, Iowa EPSCoR Annual All-Hands Meeting Poster Competition, 2013
  • Best Paper Award, 27th American Society for Composites (ASC) Technical Conference, 2012

Select Publications:

Yeqing Wang, Timothy K. Risch, Joseph H. Koo. Assessment of A One-dimensional Finite Element Charring Ablation Material Response Model for Phenolic-impregnated Carbon Ablator, Aerospace Science and Technology, 91:301-309, 2019.

Yeqing Wang, Getachew K. Befekadu, Hongtao Ding, David W. Hahn. Uncertainty Quantification for Modeling Pulsed Laser Ablation of Aluminum Considering Uncertainty in the Temperature-dependent Absorption Coefficients, Int. J. of Heat and Mass Transfer, 120:515-522, 2018.

Yeqing Wang, Crystal L. Pasiliao. Modeling Ablation of Laminated Composites: A Novel Manual Mesh Moving Finite Element Analysis Procedure with ABAQUS, Int. J. of Heat and Mass Transfer, 116:306-313, 2018.

Yeqing Wang, Olesya I. Zhupanska. Modeling of Thermal Response and Ablation in Laminated Glass Fiber Reinforced Polymer Matrix Composites Due to Lightning Strike, Applied Mathematical Modelling, 53:118-131, 2018.

Yeqing Wang. Multiphysics Analysis of Lightning Strike Damage in Laminated Carbon/Glass Fiber Reinforced Polymer Matrix Composite Materials: A Review of Problem Formulation and Computational Modeling, Composites Part A, 101:543-553, 2017.

Yeqing Wang, Ninggang Shen, Getachew K. Befekadu, Crystal L. Pasiliao. Modeling Pulsed Laser Ablation of Aluminum with Finite Element Analysis Considering Material Moving Front, Int. J. of Heat and Mass Transfer, 113:1246-1253, 2017.

Yeqing Wang, Olesya I. Zhupanska. Lightning Strike Thermal Damage Model for Glass Fiber Reinforced Polymer Matrix Composites and its Application to Wind Turbine Blades, Composite Structures, 132:1182-1191, 2015.

Pun To (Douglas) Yung

Dr. Yung has long been intrigued by the interfacing of microbes with engineering tools on a micro- and nano-scale. He is unravelling methods to rapidly assess the viability of superbugs and harness energy from extremophiles using a combination of electrochemical, optical techniques and MEMS devices.


  • B.S. in Electrical Engineering (Biomedical Engineering concentration), University of California, Los Angeles, 2003
  • B.S. in Mathematics/Applied Science (Medical and Life Sciences plan), University of California, Los Angeles, 2003
  • Ph.D. in Bioengineering, California Institute of Technology, 2008

Teaching Interests:

Dr. Yung is an advocate of a hybrid teaching and learning environment replete with project-based hands-on work, experiential activities and peer collaboration, a style departing from traditional top-down expository pedagogies.


  • NASA Postdoctoral Fellowship, 2008
  • Vice-Chancellor’s Exemplary Teaching Award, Chinese University of Hong Kong, 2012
  • Dean’s Exemplary Teaching Award, Faculty of Engineering, Chinese University of Hong Kong, 2011, 2012
  • Outstanding Teaching Award, Department of Electronic Engineering, Chinese University of Hong Kong, 2010, 2011, 2012, 2013

Recent Publications:

  • Liu, Si Li, Wen Jie Wu, and Pun To Yung. “Effect of sonic stimulation on Bacillus endospore germination.” FEMS microbiology letters 363.1 (2016): fnv217.
  • Wu, Wen Jie, Si Li Liu, and Pun To Yung. “Realization of Conductometry on a Digital Microfluidic Platform for Real-Time Monitoring of Bacillus Atrophaeus Endospore Germination.” IEEE Sensors Journal 16.8 (2016): 2244-2250.
  • Tao, Wenyan, Yanqing Ai, Sili Liu, Cheuk Wing Lun, and Pun To Yung. “Determination of Alpha-Fetoprotein by a Microfluidic Miniature Quartz Crystal Microbalance.” Analytical Letters 48.6 (2015): 907-920.

Li Wang


  • BA of Electrical & Computer Engineering, Central South University, China
  • MS of Computer Science, Louisiana Tech University

Research Interests:

  • Intelligent Systems (Data Mining & Network Analysis)
  • Big Data Analytics
  • System Security

Courses Taught:

  • CSE 581 Introduction to Database Management System
  • CIS 342 Introduction to System Programming
  • CIS 223 Statistical Reasoning & Practice
  • CPS 196 Introduction to Programming
  • CPS 181 Introduction to Computing

Pramod K. Varshney


  • Ph. D. (Illinois) 1976

Lab/Center Affiliation(s):

  • Center of Advanced Systems and Engineering (CASE), Executive Director

Areas of Expertise:

  • Distributed sensor networks and data fusion
  • Statistical inference
  • Wireless communications
  • Signal processing
  • Machine learning
  • Human-machine teaming

My research addresses fundamental questions in statistics-based signal processing, data/information fusion, sensor data processing, data analytics, machine learning and AI.  My research has been generously funded for over four decades by Department of Defense, NSF, ARPA-E, EPA and many companies.  Starting in the early 1980s, I have pioneered the area of data/information fusion and inference in sensor networks. While a lot of my work has been inspired by Department of Defense applications, I have also applied my research results to a wide variety of non-defense applications including IoT and health-related applications. For example, I have worked on imaging for breast cancer detection, and methods for more accurate Alzheimer disease detection. My current research includes detection and tracking, secure inference in distributed sensing systems, human-machine teaming for inference, and information fusion. 

Honors and Awards:

  • ASEE Dow Outstanding Young Faculty Award, 1981
  • IEEE Fellow 1997
  • Third Millennium Medal IEEE 2000
  • President International Society of Information Fusion 2001.
  • Judith A. Resnik Award IEEE 2012
  • Doctor of Engineering honoris causa, Drexel University, 2014
  • Distinguished Alumni Award, ECE Department, Univ. of Illinois, 2015
  • Yaakov Bar-Shalom Award for a Lifetime of Excellence in Information Fusion, 2018
  • Claude Shannon-Harry Nyquist Technical Achievement Award, IEEE Signal Proc. Society, 2021
  • Pioneer Award, IEEE Aerospace and Electronic Society, 2021



  • P.K. Varshney, Distributed Detection and Data Fusion, Springer-Verlag, 1997.
  • G.L. Foresti, C. S. Regazzoni, and P. K. Varshney (eds.), Multisensor Surveillance Systems: The Fusion Perspective, Kluwer Academic Press, 2003.
  • K. Varshney and M. K. Arora (eds.), Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data, Springer Verlag, 2004.
  • A. Vempaty, B. Kailkhura and P. K. Varshney, Secure Networked Inference with Unreliable Data Sources,  Springer 2018

Selected Recent Papers

  • Li, Q., Kailkhura, B., Goldhahn, R., Ray, P., and Varshney, P. K., “Robust Decentralized Learning Using ADMM With Unreliable Agents”, IEEE Trans. Signal Process, pp. 2743 – 2757, June, 2022
  • Trezza, A., Bucci, D. J., and Varshney, P. K., “Multi-Sensor Joint Adaptive Birth Sampler for Labeled Random Finite Set Tracking”, IEEE Trans. Signal Process, pp. 1010 – 1025, Feb, 2022
  • Yuan, Y., Yi, W., and Varshney, P. K., “Exponential Mixture Density based Approximation to Posterior Cramér-Rao Lower Bound for Distributed Target Tracking”, IEEE Trans. Signal Process, pp. 862 – 877, Feb, 2022
  • Chen, Q., Geng, B., Han, Y., and Varshney, P. K., “Enhanced Audit Bit Based Distributed Bayesian Detection in the Presence of Strategic Attacks”, IEEE Trans. on Signal and Information Process. over Networks, pp. 49 – 62, Jan, 2022
  • Bulusu, S., Khanduri, P., Kafle, S., Sharma, P., and Varshney, P. K., “Byzantine Resilient Non-Convex SCSG With Distributed Batch Gradient Computations”, IEEE Trans. on Signal and Information Process. over Networks ., pp. 754 – 766, Nov, 2021
  • Cheng, X., Khanduri, P., Chen, B., and Varshney, P. K., “Joint Collaboration and Compression Design for Distributed Sequential Estimation in a Wireless Sensor Network”, IEEE Trans. Signal Process, pp. 5448 – 5462, Sept, 2021
  • Geng, B., Cheng, X., Brahma, S., Kellen, D., and Varshney, P. K., “Collaborative Human Decision Making with Heterogeneous Agents”, IEEE Trans. on Computational Social Systems., pp. 469 – 479, Jul, 2021
  • Li, C., Li, G., and Varshney, P. K., “Communication-Efficient Federated Learning Based on Compressed Sensing”, IEEE Internet of Things Journal., pp. 15531 – 15541, Apr, 2021
  • Geng, B., Li, Q., and Varshney, P. K., “Utility Theory Based Optimal Resource Consumption For Inference In IoT Systems”, IEEE Internet of Things Journal., pp. 12279 – 12288, Mar, 2021
  • Ciuonzo, D., Rossi, P.S., and Varshney, P. K., “Distributed Detection in Wireless Sensor Networks Under Multiplicative Fading via Generalized Score Tests”, IEEE Internet of Things Journal., pp. 9059 – 9071, Feb, 2021
  • Joseph, G., Nettasinghe , B., Krishnamurthy, V., and Varshney, P. K., “Controllability of Network Opinion in Erdos-Renyi Graphs Using Sparse Control Inputs”, SIAM Journal on Control and Optimization., pp. 2321-2345, Jan, 2021
  • Joseph, G. and Varshney, P. K., “Measurement Bounds for Compressed Sensing in Sensor Networks With Missing Data”, IEEE Trans. Signal Process., pp. 905-916, Jan, 2021

Senem Velipasalar


  • Ph. D., Electrical Engineering, Princeton University, Princeton, NJ, 2007
  • M.A., Electrical Engineering, Princeton University, Princeton, NJ, 2004
  • M.S., Electrical Sciences and Computer Engineering, Brown University, Providence, RI, 2001
  • B.S., Electrical and Electronics Engineering, Bogazici University, Istanbul, Turkey, 1999

Lab/ Center/ Institute affiliations:

Director of the Smart Vision Systems Laboratory (http://www.vision.syr.edu/)

Faculty Affiliate, Aging Studies Institute

Areas of Expertise:

  • Machine Learning
  • Computer Vision
  • Wireless Smart Camera Networks
  • Mobile camera applications
  • Signal Processing

Prof. Velipasalar’s primary areas of research are machine learning and computer vision. More specifically, her research has focused on human activity classification and fall detection from egocentric cameras, and applications of machine learning to (i) thermal anomaly detection from UAV-mounted infrared cameras, (ii) driver behavior analysis from in-vehicle mounted cameras, (iii) 3D object detection, (iv) person detection from video data, (v) analysis of functional near infrared spectroscopy (fNIRS) data, (vi) dynamic multi-channel access, and (vii) defense against adversarial jamming attacks.


  • NSF CAREER Award, 2011.
  • 2021 IEEE Region 1 Technological Innovation (Academic) Award.
  • 2021 IAAI Deployed Application Award for our paper titled “Preclinical Stage Alzheimer’s Disease Detection Using Magnetic Resonance Image Scans”.
  • Top 25 most downloaded IEEE Sensors Journal paper in the months of January-September 2017, and June 2018.
  • Graduate School All-University Doctoral Prize, received by my former Ph.D. student Burak Kakillioglu, 2022.
  • Graduate School All-University Doctoral Prize, received by my former Ph.D. student Natalie Sommer, 2021.
  • Graduate School All-University Doctoral Prize, received by my former Ph.D. student Yantao Lu, 2020.
  • 2017 IEEE Green Communications & Computing Technical Committee Best Journal Paper Award for our paper titled “Analysis of Energy Efficiency in Fading Channels under QoS Constraints”.
  • 2nd place Poster Award at the 17th Annual SyracuseCoE Symposium Student Poster Competition for our work titled “Heat Mapping Drones”, October 2017.
  • 2014 Excellence in Graduate Education Faculty Recognition Award.
  • Graduate School All University Doctoral Prize, received by my former Ph.D. student Akhan Almagambetov, 2014.
  • Nunan Research Day Poster Competition EECS Departmental Winner Award, received by Danushka Bandara (co-advised by Dr.Hirshfield), 2014.
  • Intelligent Transportation Society (ITS) of NY Best ITS Student Essay Award, received by my former Ph.D. student Akhan Almagambetov, based on our research on vehicle taillight tracking and alert signal detection, May 2013.
  • The college-wide award for “Applicability of Research to Business and Industry”, received by my former Ph.D. student Akhan Almagambetov, Nunan Lecture and Research Day, April 2013.
  • Third place paper award at the ACM/IEEE International Conference on Distributed Smart Cameras for the paper titled “Energy-efficient Feedback Tracking on Embedded Smart Cameras by Hardware-level Optimization“, 2011
  • EPSCoR First Award, 2009
  • Layman Award as PI, 2007
  • Layman Award as Co-PI, 2009
  • Best Student Paper Award at the IEEE International Conference on Multimedia & Expo (ICME) for the paper titled “Design and Verification of Communication Protocols for Peer-to-Peer Multimedia Systems,” 2006
  • IBM Patent Application Award, 2005
  • Travel Grant, Office of Graduate Affairs, Princeton University, 2005
  • Graduate Fellowship, Princeton University, 2002
  • Graduate Fellowship, Brown University, 1999

Selected Publications:

(Please visit https://ecs.syr.edu/faculty/velipasalar/ for a complete list)

  • J. Chen, B. Kakillioglu and S. Velipasalar, “Background-Aware 3D Point Cloud Segmentation with Dynamic Point Feature Aggregation,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, April 2022.
  • F. Altay and S. Velipasalar, “The Use of Thermal Cameras for Pedestrian Detection,” IEEE Sensors Journal, vol. 22, issue:12, 11489 – 11498, May 2022.
  • Y. Chu, D. Mitra, K. Cetin, N. Lajnef, F. Altay, S. Velipasalar, “Development and Testing of a Performance Evaluation Methodology to Assess the Reliability of Occupancy Sensor Systems in Residential Buildings,” Energy and Buildings, vol. 268, pp. 112148, 2022.
  • J. Wang, T. Grant, S. Velipasalar, B. Geng and L. Hirshfield, “Taking a Deeper Look at the Brain: Predicting Visual Perceptual and Working Memory Load from High-Density fNIRS Data,” IEEE Journal of Biomedical and Health Informatics, vol. 26, issue:5, pp. 2308-2319, December 2021.
  • J. Wang, W. Chai, A. Venkatachalapathy, K. L. Tan, A. Haghighat, S. Velipasalar, Y. Adu-Gyamfi, A. Sharma, “A Survey on Driver Behavior Analysis from In-Vehicle Cameras,” accepted to appear in the IEEE Transactions on Intelligent Transportation Systems, early access version available, November 2021.
  • F. Wang; C. Zhong, M. Cenk Gursoy, S. Velipasalar, “Resilient Dynamic Channel Access via Robust Deep Reinforcement Learning,” IEEE Access Journal, vol. 9 , pp. 163188 – 163203, December 2021.
  • N. M. Sommer, B. Kakillioglu, T. Grant, S. Velipasalar and L. Hirshfield, “Classification of fNIRS Finger Tapping Data with Multi-Labeling and Deep Learning,” IEEE Sensors Journal, vol. 21, issue: 21, pp. 24558-24559, doi: 10.1109/JSEN.2021.3115405, Nov. 2021.
  • Y. Zheng, Y. Lu, and S. Velipasalar, “An Effective Adversarial Attack on Person Re-identification in Video Surveillance via Dispersion Reduction,” IEEE Access Journal, vol. 8, pp. 183891 – 183902, Sept. 2020.
  • N. Sommer, S. Velipasalar, L. Hirshfield, Y. Lu and B. Kakillioglu, “Simultaneous and Spatiotemporal Detection of Different Levels of Activity in Multidimensional Data,” IEEE Access Journal, vol. 8, pp. 118205 – 118218, June 2020.
  • D. Bandara, T. Grant, L. Hirshfield and S. Velipasalar, “Identification of Potential Task Shedding Events Using Brain Activity Data,” Augmented Human Research, 5. 10.1007/s41133-020-00034-y, 2020.
  • M. Cornacchia and S. Velipasalar, “Autonomous Selective Parts-Based Tracking,” IEEE Transactions on Image Processing, vol. 29, pp. 4349-4361, January 2020.
  • B. Kakillioglu, A. Ren, Y. Wang and S. Velipasalar, “3D Capsule Networks for Object Classification with Weight Pruning,” IEEE Access Journal, pp. 27393-27405, Febr. 2020.
  • C. Zhong, M. Cenk Gursoy and S. Velipasalar, “Deep Reinforcement Learning-Based Edge Cashing in Wireless Networks,” IEEE Transactions on Cognitive Communications and Networking, vol. 6 , issue 1, pp. 48-61, March 2020.
  • Y. Hu, Y. Li, M. C. Gursoy, S. Velipasalar, and A. Schmeink, “Throughput Analysis of Low-Latency IoT Systems with QoS Constraints and Finite Blocklength Codes,” IEEE Transactions on Vehicular Technology, vol. 69, issue 3, pp. 3093-3104, March 2020.
  • C. Zhong, Z. Lu, M. Cenk Gursoy and S. Velipasalar, “A Deep Actor-Critic Reinforcement Learning Framework for Dynamic Multichannel Access,” IEEE Transactions on Cognitive Communications and Networking, vol. 5, issue 4, pp. 1125-1139, Dec. 2019.
  • Y. Lu and S. Velipasalar, “Autonomous Human Activity Classification from Wearable Multi-Modal Sensors,” IEEE Sensors Journal, vol. 19, issue: 23, pp. 11403-11412, Dec. 2019.
  • D. Qiao, M. Cenk Gursoy and S. Velipasalar, “Throughput-Delay Tradeoffs with Finite Blocklength Coding over Multiple Coherence Blocks,” IEEE Transactions on Communications, pp. 5892 – 5904, volume: 67 , Issue: 8 , Aug. 2019.
  • D. Bandara, L. Hirshfield and S. Velipasalar, “Classification of Affect Using Deep Learning on Brain Blood Flow Data,” Journal of Near Infrared Spectroscopy, 27(3), pp. 206-219, doi: 10.1177/0967033519837986, April 2019.
  • C. Ye, M. Cenk Gursoy and S. Velipasalar, “Power Control for Wireless VBR Video Streaming: From Optimization to Reinforcement Learning,” IEEE Transactions on Communications, pp. 5629 – 5644, volume: 67 , Issue: 8 , Aug. 2019.
  • M. Cornacchia, B. Kakillioglu, Y. Zheng and S. Velipasalar, “Deep Learning Based Obstacle Detection and Classification with Portable Uncalibrated Patterned Light,” IEEE Sensors Journal, vol. 18, issue: 20, pp. 8416-8425, Oct 2018.
  • Y. Lu and S. Velipasalar, “Autonomous Footstep Counting and Traveled Distance Calculation by Mobile Devices Incorporating Camera and Accelerometer Data,” IEEE Sensors Journal, vol. 17, issue: 21, pp. 7157-7166, Nov. 2017.
  • K. Ozcan, S. Velipasalar and P. Varshney, “Autonomous Fall Detection with Wearable Cameras by using Relative Entropy Distance Measure,” IEEE Transactions on Human-Machine Systems, vol. 47, issue: 1, pp. 31-39, Febr. 2017.
  • M. Cornacchia, K. Ozcan, Y. Zheng and S. Velipasalar, “A Survey on Activity Detection and Classification Using Wearable Sensors,” IEEE Sensors Journal, vol. 17, issue: 2, pp. 386-403, Jan. 2017. Top 25 most downloaded IEEE Sensors Journal paper for nine consecutive months in 2017, and in June 2018 .
  • F. Erden, S. Velipasalar, A. Z. Alkar, A. Enis Cetin, “Sensors in Assisted Living: A Survey of Signal and Image Processing Methods ,” IEEE Signal Processing Magazine, volume:33, issue:2, pp. 36-44, March 2016.
  • K. Ozcan and S. Velipasalar, “Wearable Camera- and Accelerometer-based Fall Detection on Portable Devices ,” IEEE Embedded Systems Letters, volume: 8, issue: 1, pp. 6-9, March 2016.

Yuzhe Tang


  • Ph.D. Computer Science, Georgia Tech

Lab/ Center/ Institute affiliation:

Full Stack Security Lab (FSSL) at CST 4-294

Areas of Expertise:

  • Blockchain and cryptocurrencies.
  • Cyber-security, vulnerability discovery, attack detection and mitigation.
  • Distributed systems and performance optimization.
  • Software engineering.

Dr. Tang is broadly interested in cyber-security, systems, software engineering, and system measurement. His cyber-security research covers vulnerability discovery, attack detection, attack mitigation, and measurement of deployed systems.

His current research focuses on blockchain security, blockchain systems, blockchain applications, and blockchain education. He has worked on confidential computing, trusted execution environments, and cloud security.

Honors and Awards:

  • The Ethereum Foundation academic award
  • Two NSF SaTC grants and an NSF CNS grant
  • The Best Paper award in IEEE Cloud 2012
  • The Best Paper award in ACM/IEEE CCGrid 2015
  • The AFRL visiting faculty research fellowship, 2017

Selected Publications:

  • K. Li, Y. Wang, Yuzhe Tang. “DETER: Denial of Ethereum Txpool sERvices”, ACM CCS 2021, Acceptance rate=22%
  • K. Li, J. Chen, X. Liu, Yuzhe Tang, X. Wang, X. Luo. “As Strong As Its Weakest Link: How to Break (and Fix) Blockchain DApps at RPC Service”, ISOC NDSS 2021, Acceptance rate=15.2%
  • K. Li, Yuzhe Tang, J. Chen, Y. Wang, X. Liu. “TopoShot: Uncovering Ethereum’s Network Topology Leveraging Replacement Transactions”, ACM IMC 2021, Acceptance rate=28% 
  • Y. Wang, Q. Zhang, K. Li, Yuzhe Tang, J. Chen, X. Luo, T. Chen. “iBatch: Saving Ethereum Fees via Secure and Cost-Effective Batching of Smart-Contract Invocations” ESEC/FSE 2021, Acceptance rate=24.5%
  • C. Zhang, C. Xu, J. Xu, Yuzhe Tang, B. Choi. “GEM^2-Tree: A Gas-Efficient Structure for Authenticated Range Queries in Blockchain”, IEEE ICDE 2019, Full Paper, Acceptance rate=26.8%

Svetoslava Todorova


  • PhD, Civil Engineering, Syracuse University
  • MPA, Environmental Policy and Administration, Syracuse University
  • MS, Environmental Engineering, Syracuse University
  • BS/MS, Civil Engineering, University of Architecture, Civil Engineering and Geodesy, Bulgaria

Areas of Expertise:

  • Transport, cycling, and bioaccumulation of metals in aquatic environments
  • Sustainable engineering practices in built and natural environments
  • Urban stormwater management
  • Smart sensing for monitoring water and air quality
  • Science for policy formation and effective implementation

One aspect of my research encompasses field and analytical approaches to study the fate and transport of mercury in aquatic ecosystems and develop technologies for mitigating mercury contamination. I am also working on the development of low-cost sensors for the monitoring water and air quality. My prior engineering practice included design of urban water infrastructure, landfills, and assessment of contaminated sites. I was part of a team working on contaminant issues associated with the Deepwater Horizon incident in the Gulf of Mexico in 2010. I am involved in international policy making related to sound management of chemicals and wastes.

Honors and Awards:

  • Roster of Scientists (nominated and selected), UN Minamata Convention on Mercury, developing monitoring guidance for evaluation of the convention, 2022- current
  • Member Scientists (nominated and selected), UN Environment (UNEP), Ad hoc Working Group on Future Science-policy Panel under the Basel, Rotterdam, Stockholm and Minamata Conventions, 2022- current
  • Expert Member (nominated and selected), Working Group on Management of Contaminated Sites, UN Minamata Convention on Mercury, 2018-2019
  • Teaching Excellence Award, College of Engineering and Computer Science, Syracuse University, 2015
  • Member scientist, United Nations Environmental Program Mercury Partnership, 2011- current
  • New York State Water Environment Federation, N.G. Kaul Memorial Award for achievements in water quality, 2011

Selected Publications:

Yoshimura, K., Todorova, S., and Biddle, J. 2020. Mercury geochemistry and microbial diversity in meromictic Glacier Lake, Jamesville, NY. Environmental Microbiology Reports, 12(2): 195-202.

UN Environment, Chemicals Branch, Guidance Document on Management of Contaminated Sites, Geneva, Switzerland, July 2019, Report, contributing author

Todorov, D., Driscoll, C. T., Todorova, S., and Montesdeoca. 2018. Water quality function of an extensive vegetated and an impermeable, high-albedo roof. Science of the Total Environment 625: 928-939.

Martinez, G., McCord, S., Todorova, S., Driscoll, C.T., Wu, S., Araujo, J., Vega, C., and L. Fernandez. 2018. Mercury contamination in riverine sediments and fish associated with artisanal and small-scale gold mining in Madre de Dios, Peru. International Journal of Environmental Research and Public Health 15(8).

UN Environment, Chemicals Branch. Global Review of Mercury Monitoring Networks. Geneva, Switzerland, November 2016, Report, contributing author

Todorova, S., Driscoll, C.T., Matthews, D.A., and Effler, S.W. 2015. Zooplankton community changes confound the biodilution theory of methylmercury accumulation in a recovering mercury-contaminated lake. Environmental Science and Technology 49 (7): 4066-4071.

Todorova, S., Driscoll, C.T., Hines, M., Matthews, D. A., and S. W. Effler. 2009. Evidence for regulation on monomethyl mercury by nitrate in a seasonally-stratified, eutrophic lake, Environmental Science and Technology 43(17):6572-6578.

Radhakrishna (Suresh) Sureshkumar


  • Ph.D. in Chemical Engineering, University of Delaware, 1996
  • M.S. in Chemical Engineering, Syracuse University, 1992
  • B. Tech. in Chemical Engineering, Indian Institute of Technology, 1990


  • Lecturer, Massachusetts Institute of Technology, 1996-97
  • Assistant Professor (1997-2002), Associate Professor (2002-2006), and Professor (2006-2009) of Chemical Engineering, Washington University in St. Louis
  • Visiting Professor, University of Michigan, Ann Arbor, 2008
  • Visiting Professor, University of Edinburgh, Scotland, 2008
  • Visiting Professor, University of Porto, Portugal, 2008

Lab/Center Affiliation(s):

  • Multiscale Modeling and Simulation Laboratory
  • Complex Fluids Laboratory

Research Interests:

  • Complex Fluids
  • Soft Condensed Matter
  • Nanotechnology
  • Smart Materials
  • Sustainable Energy
  • Multiscale Modeling and Simulation

Current Research:

Sureshkumar’s current research focuses on (i) understanding the structure, dynamics and rheology of complex fluids and soft matter, and (ii) nanoscale science and engineering of functional materials and interfaces. Multiscale modeling and simulations as well as experiments are used to probe the response of complex soft matter and interfaces to external stimuli such as mechanical deformation caused by flow, chemical/thermal gradients and optical fields. Major ongoing research efforts target investigations of self-assembly and self-organization routes to robust nanomanufacturing of optically tunable interfaces with applications to efficient light trapping in thin film photovoltaics, self-assembly of nanoparticles with surfactant micelles and polymers, interactions of nanoparticles with cell membranes to assess their cytotoxicity, rheology of viscoelastic polymer solutions/melts, coherent structures dynamics in turbulent flows in presence of drag reducing additives, bacterial biofilm mechanics as well as signaling between bacterial and mammalian cells.

Courses Taught:

  • Chemical engineering methods
  • Multiscale modeling and simulation
  • Structure and rheology of complex fluids


  • Invited Speaker, University of Delaware Chemical Engineering Centennial Seminar Series, Newark, Delaware (2014)
  • Keynote Speaker, International Congress on Rheology, Lisbon, Portugal (2012)
  • Keynote Speaker, European Congress on Computational Methods in Applied Sciences and Engineering, Vienna, Austria (2012)
  • Keynote Speaker, Lorentz Center Workshop on Flow Instabilities and Turbulence, Leiden, Netherlands (2010)
  • University of Michigan Competitive Sabbatical Grant (2008)
  • Royal Scottish Society of Edinburgh International Exchange Award, University of Edinburgh, Edinburgh, Scotland (2008)
  • Distinguished Speaker, Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, Canada (2008)
  • Invited Speaker, American Physical Society Annual Meeting, Baltimore (2006)
  • Invited Speaker, Materials Research Society Annual Meeting, Boston (2006)
  • Invited Speaker, American Institute of Chemical Engineering, Salt Lake City (2007)
  • National Science Foundation CAREER Award (1999)
  • ACS/PRF New Faculty Grant (1998)
  • University of Delaware Allan P. Colburn Prize, Outstanding Doctoral Dissertation in Engineering and Mathematical Sciences (1996)
  • University of Delaware Competitive Fellowship (1995)

Student Awards:

  • Graduate Student Poster Award (Mr. Tao Cong), Society of Rheology Annual Meeting, Cleveland, (2011)
  • Graduate Student Poster Award (Dr. M. Vasudevan), Society of Rheology Annual Meeting, Salt Lake City, (2007)
  • Graduate Student Poster Award (Dr. R. Magan), Colloids & Surface Chemistry Division, ACS Annual Meeting, Philadelphia (2004)
  • Graduate Student Poster Award (Dr. R. Magan) Nanoscale S & E Forum, AIChE Annual Meeting, Austin (2004)

Selected Publications:

Sambasivam, A.V. Sangwai & R. Sureshkumar, Dynamics and scission of rod-like cationic surfactant micelles in shear flow, Phys. Rev. Lett., 114, 158302 (2015)

Dhakal & R. Sureshkumar, Topology, Length Scales and Energetics of Surfactant Micelles, J. Chem. Phys., 143, 024905 (2015)

S.C. DeSalvo, Y. Liu, G.S. Choudhary, D. Ren, S. Nangia & R. Sureshkumar, Signaling Factor Interactions with Polysaccharide Aggregates of Bacterial Biofilms, Langmuir, 31, 1958-66 (2015)

Estime, D. Ren & R. Sureshkumar, Effects of plasmonic film filters on microalgal growth and biomass composition, Algal Research, 11, 85-89 (2015)

Israelowitz, J. Amey, T. Cong & R. Sureshkumar, Spin Coated Plasmonic Nanoparticle Interfaces for Photocurrent Enhancement in Thin Film Si Solar Cells, Journal of Nanomaterials, Article ID 639458 (2014)

Kim & R. Sureshkumar, Spatiotemporal evolution of hairpin eddies, Reynolds stress, and polymer torque in polymer drag-reduced turbulent channel flows, Phys. Rev. E., 87, 063002 (2013)

Nangia & R. Sureshkumar, Effects of nanoparticle charge and shape anisotropy on translocation through cell membranes, Langmuir, 28, 1766-1771 (2012). Cover Article

Sangwai & R. Sureshkumar, Binary interactions and salt-induced coalescence of spherical micelles of cationic surfactants from molecular dynamics simulations, Langmuir, 28 (2), 1127–1135 (2012)

Cong, S.N. Wani & R. Sureshkumar, Structure and optical properties of self-assembled multicomponent plasmonic nanogels, Applied Physics Letters, 99, 043112 (2011)

Sangwai & R. Sureshkumar, Coarse-Grained Molecular Dynamics Simulations of the Sphere to Rod Transition in Surfactant Micelles, Langmuir, 27 (11), 6628–6638 (2011)

Torkamani, S. Wani, Y. Tang & R. Sureshkumar, Plasmon-enhanced microalgal growth in mini-photobioreactors, Applied Physics Letters, 97, 043703 (2010); Highlighted in Nature, 466 799 (2010)

Vasudevan, E. Buse, D. Lu, H. Krishna, R. Kalyanaraman, A.Q. Shen, B. Khomami & R. Sureshkumar, Irreversible nanogel formation in surfactant solutions by microporous flow, Nature Materials, 9, 436-441 (2010). Commentary by M. Pasquali, Nature Materials, 9, 381-382 (2010)

D.G. Thomas, B. Khomami & R. Sureshkumar, Nonlinear Dynamics of Viscoelastic Taylor-Couette Flow: Effect of Elasticity on Pattern Selection, Molecular Conformation and Drag, J. Fluid Mech., 620, 353-382 (2009).

Trice, C. Favazza, D.G. Thomas, H.G. Garcia, R. Kalyanaraman, R. Sureshkumar, A novel self-organization mechanism in ultrathin liquid films: theory and experiment, Phys. Rev. Lett., 101, 017802 (2008)

Kim, R.J. Adrian, S. Balachandar & R. Sureshkumar, Dynamics of hairpin vortices and polymer-induced turbulent drag reduction, Phys. Rev. Lett., 100, 134504 (2008)

C M. Vasudevan, A.Q. Ashen, B. Khomami & R. Sureshkumar, Self-similar shear-thickening behavior in CTAB/NaSal surfactant solutions, J. Rheol., 52, 527-50 (2008)

Sucheta Soundarajan


  • PhD, Computer Science (2013, Cornell University)

Areas of Expertise:

  • Social network analysis
  • Complex systems
  • Algorithmic fairness
  • Algorithms

Current Research:

Dr. Soundarajan’s research focuses on designing algorithms for analyzing social and other complex networks, including algorithms for characterizing the hierarchical structure of networks and the evolution of social networks.  She is particularly interested in designing fair network analysis algorithms for tasks such as link prediction and community/cluster detection.  Her work also explores the structure of real-world complex systems, including the behavior of individual animals in herds of dairy cows, language evolution in social media ecosystems, and stratification in scientific co-authorship networks. 

Selected Publications:

Sucheta Soundarajan and John Hopcroft. Use of Local Group Information to Identify Communities in Networks. ACM Transactions on Knowledge Discovery from Data (TKDD). 2015.

Sucheta Soundarajan, Tina Eliassi-Rad, and Brian Gallagher. A Guide to Selecting a Network Similarity Method. SIAM Conference on Data Mining (SDM). 2014.

Bruno Abrahao, Sucheta Soundarajan, John Hopcroft, and Robert Kleinberg. A Separability Framework for Analyzing Community Structure. ACM Transactions on Knowledge Discovery from Data (TKDD-CASIN). 2014.

Bruno Abrahao, Sucheta Soundarajan, John Hopcroft, and Robert Kleinberg. On the Separability of Structural Classes of Communities. 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2012.

Sucheta Soundarajan and John Hopcroft. Using Community Information to Improve the Precision of Link Prediction Methods. World Wide Web (WWW) 2012.

Yiyang Sun


  • Ph.D. Florida State University, Tallahassee, 2017
  • B.S. Huazhong University of Science & Technology, Wuhan, 2012

Areas of Expertise:

  • Computational Fluid Dynamics
  • Flow Control
  • Unsteady Aerodynamics
  • Data Science

Dr. Sun’s research interests focus on understanding the underlying physics of fluid flows and designing physics-driven control strategies using computational fluid dynamics, modal/non-modal analysis, and data science. The ability to control fluid flow behaviors can lead to quiet, economical, and efficient systems in fluid mechanics and aerodynamics. Because of high dimensionality, strong nonlinearity, and complexity in fluid physics, design of effective control strategies can be challenging. Dr. Sun’s research focuses on uncovering underlying physics of complex fluid flows using the cutting-edge technique of modal analysis, such as dynamic mode decomposition, global stability analysis, and resolvent analysis. The insights obtained from these analyses provide guidance for physics-driven control designs.

Honors and Awards:

  • AFOSR Young Investigator Award, 2024
  • Amelia Earhart Fellowship, 2016

Selected Publications:

  • Yao, H., Sun, Y., Mushtaq, T., and Hemati, M. S., “Reducing transient energy growth in a channel flow using static output feedback control,” AIAA Journal, Vol. 60, No. 7, 2022.
  • Yao, H., Sun, Y., and Hemati, M. S., “Feedback control of transitional shear flows: sensor selection for performance recovery,” Theoretical and Computational Fluid Dynamics, Theoretical and Computational Fluid Dynamics, Vol. 36, pp. 597-626, 2022.
  • Liu, Q., Sun, Y., Ukeiley, L. S., Cattafesta, L. N., and Taira, K., “Unsteady control of supersonic turbulent cavity flow based on resolvent analysis,” Journal of Fluid Mechanics, Vol. 925, A5, 2021.
  • Sun, Y., Liu, Q., Cattafesta, L. N., Ukeiley, L. S., and Taira, K., “Resolvent analysis of compressible laminar and turbulent cavity flows,” AIAA Journal, Vol. 58, No. 3, 2020.
  • Taira, K., Hemati, M. S., Brunton, S. L., Sun, Y., Duraisamy, K., Bagheri, S., Dawson, S. T. M., and Yeh, C-A., “Modal analysis of fluid flows: application and outlook,” AIAA Journal, Vol. 58, No. 3, 2020.
  • Sun, Y. and Hemati, M. S., “Feedback control for transition suppression in direct numerical simulations of channel flow,” Energies, Vol. 12, No. 4217, 2019.
  • Sun, Y., Liu, Q., Cattafesta, L. N., Ukeiley, L. S., and Taira, K., “Effects of sidewalls and leading-edge blowing on flows over long rectangular cavities,” AIAA Journal, Vol. 57, No. 1, pp. 106-119, 2019.
  • Zhang, Y., Sun, Y., Arora, N., Cattafesta, L. N., Taira, K., and Ukeiley, L. S., “Suppression of cavity oscillations via three-dimensional steady blowing,” AIAA Journal, Vol. 57, No. 1, pp. 90-105, 2019.
  • Edstrand, A. M., Sun, Y., Schmid, P. J., Taira, K., and Cattafesta, L. N., “Active attenuation of a trailing vortex inspired by a parabolized stability analysis,” Journal of Fluid Mechanics, Vol. 855, R2, 2018.
  • Sun, Y., Taira, K., Cattafesta, L. N., and Ukeiley, L. S., “Biglobal instabilities of compressible open-cavity flow,” Journal of Fluid Mechanics, Vol. 826, pp. 270-301, 2017.
  • Sun, Y., Taira, K., Cattafesta, L. N., and Ukeiley, L. S., “Spanwise effects on instabilities of compressible flow over a long rectangular cavity,” Theoretical and Computational Fluid Dynamics, Vol. 31, Issue 5-6, pp. 555-565, 2017.

Pranav Soman


Ph.D. Bioengineering (Penn State University)

Lab/ Center/ Institute affiliation:

  • BioInspired Institute
  • Biomaterial Institute

Areas of Expertise:

  • Optical printing
  • Bioprinting
  • Microfluidics
  • Organ-On-Chip
  • Tissue engineering

Nature’s marvelous ability to arrange proteins, sugars, and minerals from macro to nano scales has realized a wide range of ‘smart’ multifunctional structures optimized to satisfy specific environmental demands. Man-made manufacturing, however, is not able to match nature’s building capabilities. My central research focus is to develop new processing and printing technologies to create reliable models from single cell to tissue scale to capture key aspects of in vivo physiology and pathophysiology. Toward this goal, my group, with expertise in mechanical engineering, laser optics, biomaterials and cell biology, has developed a technology toolbox to process and print biocompatible thermoplastics, photosensitive hydrogels, and living cells and provide a manufacturing solution to advance research in bioprinting, microfluidics, organ-on-chip, tissue engineering, regenerative medicine, and single cell analysis.

Honors and Awards:

  • 2022           The U.S. Air Force Research Lab Summer Faculty Fellowship Program
  • 2021           Satish Dhawan Visiting Chair Professor at the Indian Institute of Science
  • 2020           Techconnect Defense Innovation Award
  • 2020           E&T Outstanding Innovation in the Manufacturing 4.0
  • 2015  Syracuse University – College of Engineering and Computer Science Award for Faculty Excellence
  • 2010           Dean’s award for academic excellent, Penn State University.
  • 2015            Faculty Excellent Award, Syracuse University

Selected Publications:

Xiong, Z., Kunwar, P., & Soman, P. (2021). Hydrogel‐Based Diffractive Optical Elements (hDOEs) Using Rapid Digital Photopatterning. Advanced optical materials, 9(2), 2001217.

Kunwar, P., Jannini, A.V.S., Xiong, Z., Ransbottom, M.J., Perkins, J.S., Henderson, J.H., Hasenwinkel, J.M. and Soman, P., 2019. High-resolution 3D printing of stretchable hydrogel structures using optical projection lithography. ACS Applied Materials & Interfaces.

Kunwar, P., Xiong, Z., Zhu, Y., Li, H., Filip, A. and Soman, P., 2019. Hybrid Laser Printing of 3D, Multiscale, Multimaterial Hydrogel Structures. Advanced Optical Materials, p.1900656.

Xiong, Z., Li, H., Kunwar, P., Zhu, Y., Ramos, R., Mcloughlin, S., Winston, T., Ma, Z. and Soman, P., 2019. Femtosecond laser induced densification within cell-laden hydrogels results in cellular alignment. Biofabrication, 11(3), p.035005.

Sawyer, S. W., Shridhar, S. V., Zhang, K., Albrecht, L., Filip, A., Horton, J., & Soman, P. (2018). Perfusion directed 3D mineral formation within cell-laden hydrogels. Biofabrication. June 8.

Cindy Smith

Areas of Expertise:

  • Teaching Sports Engineering
  • Teaching Bioinstrumentation
  • Teaching Intro to Engineering and Computer Science
  • Teaching Engineering Computational Tools

I have been teaching various classes in bioengineering and general engineering for 8 years. I teach first year courses that introduce general engineering and computer science principles and the tools that many engineers will use. I also teach a senior level required course in Bioinstrumentation as well as a technical elective on Sports Engineering.

Honors and Awards:

Program lead for Invent@SU in the Summer of 2022.

Yilei Shi


  • Ph.D. in Civil Engineering, Florida International University; Concentration: Structural Engineering, 2009
  • Master of Science in Civil Engineering, Beijing University of Technology; Concentration: Structural Engineering, 2002
  • Bachelor of Science in Civil Engineering, Southeast University; Concentration: Structural Engineering, 1999

Research Interests:

  • Transportation resilience
  • Sustainable construction materials
  • Structural behavior under extreme loading conditions

Current Research:

  • Improve transportation resilience by evaluation of structural performance of innovative construction materials, etc.
  • Evaluation of structural performance of sustainable construction materials
  • Design, construction and maintenance of structures under extreme loading and special construction conditions; for example, earthquake, wind, impact, and accelerated construction, etc.

Teaching Interests:

  • Solid Mechanics and Materials
  • Civil and Structural Engineering Design
  • Capstone Design
  • Bridge Engineering
  • Earthquake Engineering


  • Fellow, ASCE

Selected Publications:

Shi, Y. (2021). “Structural Design and Construction of Linked Towers.” 2021 Architectural Engineering Institute Virtual Conference, Denver, CO, April 2021.

Shi, Y. (2019). “A Statistical Summary of Accelerated Bridge Construction Practice in Federal and State Transportation Agencies.” 2019 International Accelerated Bridge Construction Conference, Miami, FL, December 2019.

Hathaway, F., Heath, G., Shi, Y. (2019). “Application of Accelerated Bridge Construction of a Steel Arch Pedestrian Bridge: A Capstone Project Perspective.” 2019 International Accelerated Bridge Construction Conference, Miami, FL, December 2019.

Shi, H., Salim, H., Shi, Y., Wei, F. (2015). “Geometric and Material Nonlinear Static and Dynamic Analysis of Space Truss Structures.” Mechanics Based Design of Structures and Machines: An International Journal, Taylor & Francis, 43(1), 38–56.

Shi, Y., Zohrevand, P., Mirmiran, A. (2013). “Assessment of Cyclic Behavior of Hybrid FRP-Concrete Columns.” Journal of Bridge Engineering, ASCE, 18(6), 553–563.

Shi, Y., Li, B., Mirmiran, A. (2011). “Combined Shear and Flexural Behavior of Hybrid FRP-Concrete Beams Previously Subjected to Cyclic Loading.” Journal of Composites for Construction, ASCE, 15(5), 841–849.

Wanliang Shan


  • Ph.D. Princeton University
  • B.E. University of Science and Technology of China

Research interests:

  • Solid Mechanics
  • Materials Engineering
  • Thermophysics
  • Machine Learning
  • Soft Robotics

Lab/Center Affiliation:

  • Syracuse Biomaterials Institute

Current Research:

Shan Research Group (SRG) currently focuses on interdisciplinary research in Smart, Hybrid, Active and Nature-inspired Materials, Mechanics, and Machines (SHAN 3M). Fundamental insights from solid mechanics, materials engineering, thermal science, and machine learning are emphasized for the design and fabrication of soft multifunctional materials and high-performance robotic mechanisms, which impact critical application domains such as soft robotics, biomedical devices, and wearable devices. The ultimate goal of SRG’s research is to improve human-machine-environment interactions.

Teaching Interests:

  • Introduction to Robotics
  • Soft Robotics
  • Continuum Mechanics
  • Fracture Mechanics

Select Publications:

Sharifi, C. Rux, N. Sparling, G. Wan, A. Mohammadi Nasab, A. Siddaiah, P. Menezes, T. Zhang, W.L. Shan*, Dynamically Tunable Friction via Subsurface Stiffness Modulation, Frontiers in Robotics and AI, 2021.

Mohammadi Nasab, S. Sharifi, S. Chen, W.L. Shan*, Robust three-component elastomer-particle-fiber composites with tunable properties for soft robotics, Advanced Intelligent Systems, 2000166, 2020.

Mohammadi Nasab, A. Luo, S. Sharifi, K.T. Turner*, W.L. Shan*, Soft Gripping Device Based on Pneumatics-Modulated Tunable Dry Adhesion, ACS Applied Materials and Interfaces, 2020.

Luo◦ , A. Mohammadi Nasab◦ , M. Tatari, S. Chen, W.L. Shan*, K.T. Turner*. Adhesion of flat-ended pillars with non-circular contacts, Soft Matter, 2020. Link

Huang, K. Kumar, M.K. Jawed, A. Mohammadi Nasab, Z. Ye, W.L. Shan, C. Majidi*, Highly Dynamic Shape Memory Alloy Actuator for Fast Moving Soft Robots, Advanced Materials Technologies, 1800540, 2019.

Wang, N. Hu, S. Huang, A. Mohammadi Nasab, K. Yang, M.C. Abate, X. Yu, L. Tan, W.L. Shan, Z. Chen*, Buckling and Post-buckling of an Elastic Rod Embedded in a Bilayer Matrix, Extreme Mechanics Letters, 25:1-6, 2018.

Huang, K. Kumar, M.K. Jawed, A. Mohammadi Nasab, Z. Ye, W.L. Shan, C. Majidi*, Chasing biomimetic locomotion speeds: Creating untethered soft robots with shape memory alloy actuators, Science Robotics, 3, eaau7557, 2018.

Tatari, A. Mohammadi Nasab, K.T. Turner*, W.L. Shan*, Dynamically Tunable Dry Adhesion via Sub-Surface Stiffness Modulation, Advanced Materials Interfaces, 5:1800321, 2018.

Mohammadi Nasab, D. Wang, Z. Chen, W.L. Shan*, Buckling Shape Transition of an Embedded Thin Elastic Rod after Failure of Surrounding Elastic Medium, Extreme Mechanics Letters, 15:51-56, 2017.

Mohammadi Nasab◦ , A. Sabzehzar◦ , M. Tatari, C. Majidi, W.L. Shan*, A Soft Gripper with Rigidity Tunable Elastomer Strips as Ligaments, Soft Robotics, 2017.

Tutcuoglu, C. Majidi*, W.L. Shan*, Nonlinear Thermal Parameter Estimation for Embedded Internal Joule Heaters, International Journal of Heat and Mass Transfer, 97:12-421, 2016.

Sabzehzar*, W.L. Shan, M. Shariat Panahi, O. Saremi, An Improved Extended Classifier System for the Real-Input Real-Output (XCSRR) Stability Control of a Biped Robot, Procedia Computer Science, 61:492- 499, 2015.

W.L. Shan◦ , S. Diller◦ , A. Tutcuoglu, C. Majidi*, Rigidity-tuning Conductive Elastomer, Smart Materials and Structures, 24(6):065001, 2015.

Amit K. Sanyal


  • Ph.D. (Aerospace Engineering, U of Michigan)
  • MS (Mathematics, U of Michigan)
  • MS (Aerospace Engineering, Texas A&M)
  • B. Tech. (Indian Institute of Technology, Kanpur)

Lab/Center Affiliation:

  • Syracuse Center of Excellence
  • Center for Advanced Systems and Engineering (CASE)

Research Interests:

  • Nonlinear dynamics
  • Geometric control
  • Nonlinear estimation
  • Geometric mechanics
  • Aerospace control
  • Mobile robots

Current Research:

My primary research interests are in dynamics modeling, control and estimation of mobile robots, spacecraft and unmanned vehicles modeled as rigid body and multi-body systems. The framework of this research is based on geometric mechanics and geometric control. These methods provide the substantial practical advantage of Lyapunov stability in the control and estimation schemes obtained. A secondary practical advantage is that such schemes lead to energy-efficient and robust control that is implementable with current technology. Geometric mechanics is the study of the mechanics of systems that evolve on state spaces that may not be vector spaces. The overall (translational and attitude) motion of aerospace vehicles cannot be described globally on a vector space, as their states evolve on a differentiable manifold that cannot be continuously deformed to a vector space. For spacecraft, maneuverable aerial vehicles and several robotic systems, the large ranges of rotational motion necessitate a global analysis of the state space to tackle dynamics, state estimation and control problems of interest. The vast majority of current schemes for control and state estimation of such systems are either applicable to local motion due to singularities, or they are unstable in the sense of Lyapunov, or they require discontinuous or hybrid control schemes that cannot be implemented by attitude actuators that can only provide continuous inputs. Technical challenges that can be overcome with the nonlinear estimation and control techniques that I have developed include robustness to uncertainties in the dynamics; coupled control, power and communication constraints; actuator constraints; and control and estimation of system states and uncertain inputs over large ranges of possible motions.

Courses Taught:

Courses taught at NMSU from fall 2013 till spring 2015 are:

  • AE 362 (Orbital Mechanics)
  • ME 452 (Control System Design)
  • AE 561/ME 405 (Spacecraft Dynamics and Control)
  • AE/ME 527 (Control of Mechanical Systems)
  • AE/ME 529 (Nonlinear and Optimal Control)
  • ME 580 (Numerical Analysis II)

Courses taught at Syracuse University from fall 2015 are:

  • AEE 577 (Introduction to Space Flight)
  • MEE 725 (Advanced Engineering Dynamics)
  • MAE 312 (Engineering Analysis)
  • MAE 675 (Methods of Analysis)
  • MAE 700 (Advanced Nonlinear Control)
  • MAE 600/700 (Spacecraft Dynamics and Control)


  • 2001 Distinguished Graduate Student Masters Research Award, Texas A & M University.
  • 2002 College of Engineering Fellowship, University of Michigan.
  • 2003 Engineering Academic Scholar Certificate, College of Engineering, University of Michigan.
  • 2012 Summer Faculty Fellow, Air Force Research Laboratory.
  • 2013 AIAA Senior Member.
  • 2015 IEEE Senior Member.

Selected Publications:

R. Hamrah, R. Warier, and A. K. Sanyal, “Finite-time stable estimator for attitude motion in the presence of bias in angular velocity measurements,” to appear in Automatica, in press, 2021, doi: 10.1016/j.automatica.2021.109815.

A. K. Sanyal, “Data-Driven  Discrete-time  Control  with  H¨older-Continuous  Real-time  Learning,” to appear in International Journal of Control, 2021, doi: 10.1080/00207179.2021.1901993; arXiv version available at: https://arxiv.org/abs/2006.05288.

R. Hamrah and  A. K. Sanyal,  “Finite-time  Stable  Tracking  Control  for  an  Underactuated  System  in SE(3) in Discrete Time,” International Journal of Control, published online: 11/09/2020, doi: 10.1080/00207179.2020.1841299.

X. Li, A. K. Sanyal, R. R. Warier, and D. Qiao, “Landing of hopping rovers on Irregularly-shaped small bodies using attitude control,” Advances in Space Research, vol. 65(11), pp. 2674-2691, 2020, doi: 10.1016/j.asr.2020.02.029.

R. R. Warier, A. K. Sanyal, and S. P. Viswanathan, “Finite Time Stable Attitude Estimation of Rigid Bodies With Unknown Dynamics,” Asian Journal of Control, vol. 21(4), pp. 1522-1530, 2019, doi: 10.1002/asjc.2089.

X. Li, R. R. Warier, A. K. Sanyal, and D. Qiao, “Trajectory Tracking Near Small Bodies Using Only Attitude Control and Orbit-Attitude Coupling,” AIAA Journal of Guidance, Control and Dynamics, published online, doi: 10.2514/1.G003653. JGCD-G003653_online

S. P. Viswanathan and A. K. Sanyal, “Adaptive Singularity-free Control Moment Gyroscopes,” AIAA Journal of Guidance, Control and Dynamics, 2018, doi: 10.2514/1.G003545. ASCMG-JGCD-final

S. P. Viswanathan, A. K. Sanyal and E. Samiei, “Integrated Guidance and Feedback Control of Underactuated Robotics System in SE(3),” Journal of Intelligent & Robotic Systems, vol. 89, pp. 251-263, 2018, doi: 10.1007/s10846-017-0547-0.JIRS-FinalPub-Print

A. Siravuru, S. P. Viswanathan, K. Sreenath and A. K. Sanyal, “The Reaction Mass Biped: Geometric Mechanics and Control,” Journal of Intelligent & Robotic Systems, vol. 89, pp. 155-173, 2018.JIRS-RMB

Mehmet Sarimurat

Research interests

  • Multiphysics modeling and simulation
  • Turbomachinery/Aircraft propulsion
  • Air management system design and optimization
  • Computational and experimental aero-acoustics

Teaching Interests

  • MAE571 Application of Computational Fluid Dynamics


  1. Rau, Mark Patrick, Mehmet N. Sarimurat, and Ryan K. Dygert. “Double inlet backward curved blower.” U.S. Patent No. 11,041,502. 22 Jun. 2021.
  2. Sarimurat, Mehmet N., and Thong Q. Dang. “Compact, high-efficiency air handling unit for residential HVAC systems” World Intellectual Property Organizations, Patent Application No WO2021003211, 2021
  3. Bushnell, Peter R., Yu H. Chen, and Mehmet N. Sarimurat. “Temperature-controlled cargo container with air distribution.” U.S. Patent No. 9,233,791. 12 Jan. 2016.
  4. Sarimurat, Mehmet N., Peter R. Bushnell, and Lee G. Tetu. “Inducer fan assembly for a furnace.” U.S. Patent No. 8,584,664. 19 Nov. 2013.

Journal Papers

  1. M.N. Sarimurat and T. Q. Dang “An Analytical Model for Boundary Layer Control via Steady Blowing and its Application to NACA-65-410 Cascade”, ASME Journal of Turbomachinery, Vol. 136, No. 6 (2014): 061011, doi: 10.1115/1.4025585
  2. M.N. Sarimurat and T. Q. Dang “Shock Management in Diverging Flow Passages by Blowing/Suction Part 1: Quasi-1D Theory”, AIAA Journal of Propulsion and Power, Vol. 28, Issue 6, 2012, pp. 1222-1229, doi: 10.2514/1.B34136
  3. M.N. Sarimurat and T. Q. Dang “Shock Management in Diverging Flow Passages by Blowing/Suction Part 2: Applications”, AIAA Journal of Propulsion and Power, Vol. 28, Issue 6, 2012, pp.1230-1242, doi: 10.2514/1.B34137


  1. M.N. Sarimurat “An Analytical Investigation of Flow Blowing into Compressible Main Flow”, ASME-GT2017-64907, ASME Turbo Expo, 2017, Charlotte, NC
  2. M.N. Sarimurat and T. Q. Dang “An Analytical Model for Boundary Layer Control via Steady Blowing and its Application to NACA-65-410 Cascade”, ASME-GT2013-95342, ASME Turbo Expo, 2013, San Antonio, TX

Baris Salman


  • Ph.D. in Civil Engineering, University of Cincinnati, 2010.
  • B.Sc. (with honors) in Civil Engineering, Middle East Technical University, 2004.

Lab/Center Affiliations:

  • University Transportation Research Center (UTRC) – Region 2
  • Transportation for Livability by Integrating Vehicles and the Environment (TranLIVE)

Research Interests:

  • Smart Infrastructure
  • Building Information Modeling
  • Infrastructure Asset Management
  • Deterioration Modeling
  • Sustainable Civil Infrastructure Systems
  • Risk Assessment and Management
  • Accelerated and Fast Track Construction
  • Trenchless Inspection, Repair, and Renewal Methods

Current Research:

Dr. Salman’s research interests lie in the broad area of infrastructure asset management, and particularly on the processes of development of deterioration models and risk assessment procedures, and execution of sustainable repair, rehabilitation, and replacement practices. He has been involved in research projects that focus on various aspects of management of drainage infrastructure systems, wastewater collection lines, and transportation systems. Dr. Salman’s current research efforts aim to support these studies and are directed towards improvement of the decision-making strategies involved in different stages of infrastructure management practices. He is currently leading a research project in which the objective is to investigate innovative maintenance, repair, and rehabilitation (MRR) techniques that can be applied to asphalt roadways in an effort to reduce the economic, environmental, and social impacts associated with these activities.

Courses Taught:

  • Construction Estimating and Scheduling
  • Sustainable Development and Infrastructure Management
  • Civil and Environmental Engineering Measurements
  • Introduction to Geomatics and BIM
  • Engineering Materials
  • Transportation Engineering
  • Construction Project Management
  • Engineering Economics


  • Outstanding Reviewer Award. Journal of Infrastructure Systems (ASCE), 2013

Selected Publications:

Altami, S. A., and Salman, B. (accepted for publication) “Implementation of IoT-based sensor systems for smart stormwater management.” Journal of Pipeline Systems Engineering and Practice, ASCE.

Keskin, B., Salman, B., and Koseoglu, O. (accepted for publication) “Architecting a BIM-based digital twin platform for airport asset management: an approach based on model based system engineering with SysML.” Journal of Construction Engineering and Management, ASCE.

He, S., Salem, O., and Salman, B. (2021) “Decision support framework for project-level pavement maintenance and rehabilitation through integrating Life Cycle Cost Analysis and Life Cycle Assessment.” Journal of Transportation Engineering, Part B: Pavements, ASCE, 147(1). https://doi.org/10.1061/JPEODX.0000239.

Salman, B., Salem, O. and He, S. (2020) “Project-level sustainable asphalt roadway treatment selection framework featuring a flowchart and Analytic Network Process.” Journal of Transportation Engineering, Part B: Pavements, Vol:146, Issue:3, ASCE. https://doi.org/10.1061/JPEODX.0000202

Keskin, B, and Salman, B. (2020) “BIM implementation framework for smart airport life cycle management.” Transportation Research Record: Journal of the Transportation Research Board, Vol.2674, Issue:6. https://doi.org/10.1177/0361198120917971

Keskin, B., Salman, B., and Ozorhon, B. (2020) “Airport project delivery within BIM-centric construction technology ecosystems.” Engineering, Construction and Architectural Management, Emerald. https://doi.org/10.1108/ECAM-11-2019-0625

He, S., Salem, O., and Salman, B. (2020) “Project-level highway treatment selection framework featuring life cycle cost analysis and life cycle assessment.” 99th Annual Conference of Transportation Research Board (TRB), Washington, D.C.

Keskin, B., Salman, B., and Ozorhon, B. (2019) “Analysis of airport BIM implementation through multi-party perspectives in construction technology ecosystem: a construction innovation framework approach.” 36th CIB (International Council for Research and Innovation in Building and Construction) W78 Conference, Newcastle, UK.

Chen, X., Salem, O., and Salman, B. (2019) “A lifecycle benefit/cost analysis framework for Adaptive Traffic Control System (ATCS) deployments.” Proceedings of the Institution of Civil Engineers- Transporthttps://doi.org/10.1680/jtran.18.00112

He, S., Salem, O., and Salman, B. (2019) “A framework for pavement treatment alternative selection through life cycle cost analysis.” 7th International Construction Conference (jointly with the Construction Research Congress), Laval, QC, Canada

He, S., Salem, O., and Salman, B. (2019) “Life cycle environmental impacts of asphalt roadway maintenance, repair, and rehabilitation alternatives” 98th Annual Conference of Transportation Research Board (TRB), Washington, D.C.

Salem, O., Salman, B. and Ghorai, S. (2018) “Accelerating construction of roadway bridges using alternative techniques and procurement methods”, Transport, 33(2), 567-579. https://doi.org/10.3846/16484142.2017.1300942

Keskin, B., and Salman, B. (2018) “Building Information Modeling (BIM) implementation for sustainability analysis: A mega airport project case study.” 7th International Building Physics Conference: Healthy, Intelligent and Resilient Buildings and Urban Environments, Syracuse, NY, USA.

Salman, B., Salem, O., Garguilo, D. T., and He, S. (2017) “Innovative maintenance, repair, and reconstruction techniques for asphalt roadways: A survey of state departments of transportation.” 96th Annual Conference of Transportation Research Board (TRB), Washington, D.C.

Wang, X., Deshpande, A. S., Dadi, G. B., Salman, B. (2016) “Application of Clonal Selection Algorithm in construction site utilization planning optimization.” Procedia Engineering, Proc. ICSDEC 2016 – Integrating Data Science, Construction and Sustainability, Vol. 145, pp. 267-273.

Salem, O., Ghorai, S., Salman, B., and Aboutaha, R. (2014) “A decision support framework for accelerated bridge construction.” Proc. 93rd Annual Conference of Transportation Research Board, Washington, D.C.

Salem, O., Salman, B., and Najafi, M. (2012) “Culvert asset management practices and deterioration modeling.” Transportation Research Record: Journal of the Transportation Research Board, No. 2285, pp. 1-7.  https://doi.org/10.3141/2285-01

Salman, B., and Salem, O. (2012) “Risk assessment of wastewater collection lines based on failure models and criticality.” Journal of Pipeline Systems Engineering and Practice, ASCE, 3(3), pp. 68-76. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000100

Salman, B., and Salem, O. (2012) “Modeling failure of wastewater collection lines using various section-level regression models.” Journal of Infrastructure Systems, ASCE, 18(2), pp. 146-154. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000075

Ashok S. Sangani


  • Chemical Engineering PhD, Stanford University, 1983
  • Chemical Engineering MS, Columbia University, 1979
  • Chemical Engineering, BS, University of Bombay, 1976

Research Interests:

  • Particulate and Multiphase Flows
  • Fluid Mechanics
  • Transport Processes in Biological Systems
  • Algorithms Particle Interactions

Current Research:

Particulate and multiphase systems are encountered in many natural, biological, and industrial processes. Their behavior is governed by physics at multiple length scales – from molecular, to typical dimension characterizing the individual phase boundary, to macroscale on which the microstructure is changing. Understanding of these systems in general can be improved through use of numerical simulations of appropriate phenomena at various lengthscales, theories for multiscale modeling, and experiments. Our research focuses on development of efficient algorithms for numerical simulations and theory. We apply these to variety of multiphase problems, and compare the predictions with experiments carried out either by our collaborators or available in the literature.

Teaching Interests:

  • Fluid Mechanics, Transport Phenomena
  • Thermodynamics
  • Transport in Biological Systems
  • Process Control
  • Applied Mathematics

Select Publications:

Sangani, A. S., Lu, C., Su, K., and Schwarz J. A., “Capillary force on particles near drop edge resting on a substrate and a criterion for contact line pinning”. Phys. Rev. E, 80, 011603-011617 (2009).

Ozarkar, S. S., Sangani, A. S., Kushch, V. I., and Koch, D. L., “A kinetic theory for particulate systems with bimodal and anisotropic velocity fluctuations. Phys. Fluids, 20, 123303-123319 (2008).

Ozarkar, S. S. and Sangani A. S., “A method for determining Stokes flow around particles near a wall or in a thin film bounded by a wall and a gas-liquid interface”. Phys. Fluids, 20, 63301-63316 (2008).

Asif Salekin


  • Ph.D. in Computer Science, University of Virginia
  • Master of Computer Science, University of Virginia
  • B.S. in Computer Science and Engineering, Bangladesh University of Engineering and Technology

Lab Affiliation:

Ubiquitous and Intelligent Sensing (UIS Lab)

Areas of Expertise:

  • Pervasive and Ubiquitous Computing
  • Machine Learning
  • Internet of Things (IoT)
  • Human Centric Computing and Sensing
  • Wireless, Connected, and Mobile Health.

I am directing the Laboratory for Ubiquitous and Intelligent Sensing (UIS Lab) at Syracuse University. My research takes a multi-disciplinary approach to develop novel and practical human event sensing technologies that capture observable low-level physical signals from human bodies and surrounding environments and employ new machine learning, signal processing, and natural language processing techniques to rectify the existing sensing technologies. My research exquisition goes beyond the conventional learning or sensing approaches and addresses the research challenges, such as the uncertainties in physical world sensing, interpretability of ML inference, human factors such as the user-context and mobility, limitation of current technologies (i.e., IoT, CPS), and resource constraints of the sensing data and computation platform. A core focus of my research program is to integrate passive sensing and interpretable AI to advance human health assessment, identify latent markers, and automate health monitoring and interventions. Major ongoing funded research projects are (1) NSF SCH (Medium): Psychophysiological Sensing to Enhance Mindfulness-Based Interventions for Self-Regulation of Opioid Cravings, (2) NIH R021 and NIH R-01: Understanding speech, speech-motor-control, and emotional process in early childhood stuttering, (3) NSF CPS (Small): Developing a Socio-Psychological CPS for the Health and Wellness of Dairy Cows. 

Honors and Awards:

  • IAAI Deployed Application Award, The Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21)
  • Graduate Student Award for Outstanding Research, Department of Computer Science, UVA, 2018
  • Nominated for the best paper award (AsthmaGuide), Wireless health 2016

Selected Publications:

  • Harshit Sharma, Yi Xiao, Victoria Tumanova, Asif Salekin, “Psychophysiological Arousal in Young Children Who Stutter: An Interpretable AI Approach”, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2022. (and Ubicomp 2022)
  • Jingyu Xin, Vir V. Phoha, Asif Salekin, “Combating False Data Injection Attacks on Human-Centric Sensing Applications”, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2022. (and Ubicomp 2022)
  • Cramer et al., “Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States”, The Proceedings of the National Academy of Sciences USA (PNAS), 2022.
  • Fatih Altay, Guillermo Ramón Sánchez, Yanli James, Stephen V. Faraone, Senem Velipasalar, Asif Salekin. Preclinical Stage Alzheimer’s Disease Detection Using Magnetic Resonance Image Scans, The Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21).
  • Tianjia He, Lin Zhang, Fanxin Kong, and Asif Salekin. Exploring Inherent Sensor Redundancy for Automotive Anomaly Detection, The 57th Design Automation Conference (DAC), 2020.
  • Salekin, Jeremy W. Eberle, Jeffrey J. Glenn, Bethany A. Teachman, and John A. Stankovic. 2018. A Weakly Supervised Learning Framework for Detecting Social Anxiety and Depression, ACM Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT), Vol. 2, No. 2, Article 81 (June 2018), 26 pages. (and Ubicomp 2018)
  • Salekin, Z. Chen, M. Ahmed, J. Lach, D. Metz, K. de la Haye, B. Bell, and J. Stankovic, Distance Emotion Recognition, ACM Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT), Vol. 1, Issue 3, Sept. 2017, 96:1-96:24 (Ubicomp 2017)

Utpal Roy


  • Ph.D., Purdue University

Research Interests:

  • Geometric tolerances
  • Solid modeling
  • Computer aided design and manufacturing
  • Intelligent CAD
  • Product design/Design & manufacturing
  • Sustainable manufacturing
  • Application of artificial intelligence

Teaching Interests:

  • CAD/CAM systems
  • Design for manufacturing


  • Received the FIRST L. C. SMITH Award for Faculty Excellence, 2008
  • Selected as an Associate Editor for the International Journal of Product Development from 2004
  • Selected as an Associate Editor for the SME’s Journal of Manufacturing Systems (JMS) from 2001-2004
  • 1993 Pi Tau Sigma Outstanding Professor in Mechanical Engineering Award

Select Publications:

“Enriching STEP Product Model with GD & T Information for 1-D Tolerance Analysis”, M. I. Sarigecili, U. Roy and S. Rachuri, the ASME Trans., The ASME Journal of Computing and Information Science in Engineering (In press)

“Ontology-based Disassembly Information System for Enhancing Disassembly Planning and Design,” Bicheng Zhu and Utpal Roy, the International Journal of Advanced Manufacturing Technology, DOI 10.1007/s00170-014-6704-8, Jan 15, 2015

“Development and Utilization of a Product Information Model for Sustainable Manufacturing,” Heng Zhang, Bicheng Zhu, Omer Yaman and Utpal Roy, the SME Journal of Manufacturing Systems, Vol. 37, pp. 459-466, October 2015

“Information Models for Processing Product Life Cycle Functionalities and Interfaces for Sustainable Manufacturing”, Utpal Roy and Mehmet I. Sarigecili, the ASME Transactions, the ASME Journal of Computing and Information Science in Engineering, March, 2016, Vol. 16, pp. 011005-1 to 011005-11

“A Novel Use of Geo-solar Energy and Storage Technology (GEST) in Existing Housing Applications: A Conceptual Study,” Lowell E. Lingo, Jr. and Utpal Roy, submitted for publication in the ASCE Journal of Energy Engineering, May 10, 2016 (the direct link to the paper’s page: http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29EY.1943-7897.0000271

“Design for Implementation Strategy for Designing a Sustainable Building Using the Geosolar Exergy Storage Technology (GEST): A Case Study,” Lowell E. Lingo, Jr. and Utpal Roy, ASCE Journal of Energy Engineering.

“Development of the Integrated Product Information Model for Product Sustainability Assessment,” U. Roy, M.M. Baysal, M.I. Sarigecili, M. Shuaib, Fazleena Badurdeen and I.S. Jawahir, International Journal of Sustainable Manufacturing, Vol. 3, No. 2, 2014.

“A Multi-Objective Optimization Methodology Towards Product Design for Sustainability,” Yunpeng Li and Utpal Roy, IJSEAM Special Issue in Sustainable Manufacturing (in press)

“Interpreting the Semantics of GD & T Specifications of a Product for Tolerance Analysis,” Mehmet I. Sarigecili, Utpal Roy and Sudarsan Rachuri, Computer-Aided Design, Vol. 47, pp. 72-84, 2014

“A Ground-Coupled Wall System for New and Existing Structures,” the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) Trans., DA-13-004

“Disassembly Information Model Incorporating Dynamic Capabilities for Disassembly Sequence Generation,” Bicheng Zhu, Mehmet I. Sarigecili and Utpal Roy, Int. Journal of Robotics and Computer Integrated Manufacturing, Vol. 29, No. 5, pp. 396-409, 2013

“A Disassembly Process Model for End-of-Life Activities of Manufactured Products, ” Mehmet Sarigecili, M. M. Baysal, B. Zhu and Utpal Roy, International Journal of Sustainable Manufacturing, Vol. 3, No.1, pp. 37-56, 2013

“Energy Management Between a Building Envelope and its Environment for Residential HVAC,” Lowell E. Lingo and Utpal Roy, ASCE Journal of Energy Engineering (in press; already available in electronic format, 10.1061/(ASCE)EY.1943-7897.0000149 , 04013023. , 2013.)

“A Multi-Objective Optimization Methodology Towards Product Design for Sustainability,” Yunpeng Li and Utpal Roy, IJSEAM Special Issue in Sustainable Manufacturing

“Role of Behavioral Analysis in the Product Repair and Replacement Process: the Preliminaries,” Utpal Roy and Lowell E. Lingo, Jr., International Journal of Sustainable Manufacturing, Vol. 3, No. 1, pp. 74 – 93, 2013

“A Ground-Coupled Wall System for New and Existing Structures,” Lowell E. Lingo and Utpal Roy, American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASRAE) Transc., 2012

“Disassembly Process Model for End-of-Life (EOL) Activities for Manufactured Products,” Mehmet I. Sarigecili, Mehmet M. Baysal, Bicheng Zhu. and Utpal Roy, International Journal of Advanced Manufacturing Technology, 2012

“Disassembly Information Model Incorporating Dynamic Capabilities for Disassembly Sequence Generation,” Bicheng Zhu, Mehmet I. Sarigecili, and Utpal Roy, Robotics and Computer Integrated Manufacturing, 2012

Dacheng Ren


  • B.E. (major) Applied Chemistry, Shanghai Jiao Tong University, P. R. China, 1996.
  • B.E. (minor) Electrical Engineering, Shanghai Jiao Tong University, P. R. China, 1996.
  • M.E. Chemical Engineering, Tianjin University, P. R. China, 1999.
  • Ph.D. Chemical Engineering, University of Connecticut, Storrs, CT, 2003
  • Postdoctoral associate, Chemical Engineering, Cornell University, Ithaca, NY, 2003-2005.

Lab/Center Affiliation:

  • Syracuse Biomaterials Institute

Current Research:

We have broad interests in Biotechnology, especially bacterial control. Historically, our understanding of bacterial physiology and development of antibiotics have been focused on planktonic (free-swimming) cells. However, the vast majority of bacteria in nature exist in surface-attached highly hydrated structures comprising of a polysaccharide matrix secreted by the bound bacterial cells, collectively known as biofilms. With up to 1000 times higher tolerance to antibiotics and disinfectants compared to their planktonic counterparts, deleterious biofilms cause serious problems such as chronic infections in humans as well as persistent corrosion and equipment failure in industry. Biofilms are blamed for billions of dollars of losses and more than 45,000 deaths annually in the U.S. alone. Despite the well-recognized significance of biofilms, the biofilm research is still in its infancy. With the efficacy of antibiotics and disinfectants being intrinsically limiting, new approaches especially those with synergistic effects are desired.

Compared to the deleterious biofilms, which cause serious problems in both medical and engineering environments, biofilms of environmentally friendly bacteria have promising applications. Due to their intrinsic tolerance to toxic agents, such biofilms may provide promising solutions to currently unmet challenges such as the high cost in biofuel production due to the low tolerance of microbes to fermentation products and difficulties in bioremediation of toxic contaminants.

In the Biofilm Engineering Laboratory, we have broad interests in biofilm research including genetic basis of multidrug resistance, biofilm control by engineering smart surfaces and biomaterials, development of novel biofilm and persister inhibitors, as well as biofilm engineering for biofuel production.

Courses Taught:

  • CEN551 Biochemical Engineering
  • BEN301 Biological Principles for Engineers


  • Syracuse University LCS Faculty Excellence Award, 2014.
  • NSF CAREER Award 2011-2016.
  • College Technology Educator of the Year, Technology Alliance of Central New York (TACNY), 2010.
  • Early Career Translational Research Award in Biomedical Engineering from the Wallace H. Coulter Foundation, 2009.

Selected Publications:

For a full list of publications, please see http://scholar.google.com/citations?user=85Ty0hAAAAAJ&hl=en&oi=ao.

Fangchao Song, Hyun Koo, and Dacheng Ren. “Effects of material properties on bacterial adhesion and biofilm formation” (Invited Critical Review). Journal of Dental Research. 94: 1027-1034 (2015).

Fangchao Song and Dacheng Ren, “Stiffness of cross-linked poly(dimethylsiloxane) affects bacterial adhesion and antibiotic susceptibility of attached cells”. Langmuir. 30: 10354-10362 (2014).

Huan Gu and Dacheng Ren, “Material and surface engineering to control bacterial adhesion and biofilm formation: a review of recent advances”. Frontiers of Chemical Science & Engineering (Invited Review). 8: 20-33 (2014).

Jiachuan Pan and Dacheng Ren. “Structural effects on persister control by brominated furanones”. Bioorganic & Medicinal Chemistry Letters. 23: 6559-6562 (2013).

Jiachuan Pan, Xin Xie, Wang Tian, Ali Adem Bahar, Nan Lin, Fangchao Song, Jing An and Dacheng Ren. “(Z)-4-bromo-5-(bromomethylene)-3-methylfuran-2(5H)-one sensitizes Escherichia coli persister cells to antibiotics”. Applied Microbiology and Biotechnology. 97: 9145-9154 (2013).

Huan Gu, Shuyu Hou, Chanokpon Yongyat, Suzanne De Tore and Dacheng Ren. “Patterned biofilm formation reveals a mechanism for structural heterogeneity in bacterial biofilms”. Langmuir. 29: 11145-11153 (2013).

Jiachuan Pan, Fangchao Song, and Dacheng Ren. “Controlling persister cells of Pseudomonas aeruginosa PDO300 by (Z)-4-bromo-5-(bromomethylene)-3-methylfuran-2(5H)-one”. Bioorganic & Medicinal Chemistry Letters. 23:4648-4651 (2013).

Jiachuan Pan, Ali Adem Bahar, Haseeba Syed, and Dacheng Ren. “Reverting antibiotic tolerance of Pseudomonas aeruginosa PAO1 persister cells by (Z)-4-bromo-5-(bromomethylene)-3-methylfuran-2(5H)-one”. PLoS ONE. 2012, 7(9): e45778. doi:10.1371/journal.pone.0045778.

Tagbo H. R. Niepa, Jeremy L. Gilbert and Dacheng Ren. “Controlling Pseudomonas aeruginosa persister cells by weak electrochemical currents and synergistic effects with tobramycin”. Biomaterials. 2012, 33: 7356–7365.

Robert Szkotak, Tagbo H R Niepa, Nikhil Jawrani, Jeremy L Gilbert, Marcus B Jones and Dacheng Ren. “Differential Gene Expression to Investigate the Effects of Low-level Electrochemical Currents on Bacillus subtilis”. AMB Express. 2011, 1:39.

Xi Chen, Mi Zhang, Chunhui Zhou, Neville R. Kallenbach and Dacheng Ren, “Control of bacterial persister cells by Trp/Arg antimicrobial peptides”. Applied and Environmental Microbiology. 2011, 77(14): 4878-4885.

Shuyu Hou, Huan Gu, Cassandra Smith and Dacheng Ren, “Microtopographic patterns affect Escherichia coli biofilm formation on polydimethylsiloxane surfaces”. Langmuir. 2011, 27(6): 2686-2691.

Shuyu Hou, Zhigang Liu, Anne Young, Sheron Mark, Neville Kallenbach and Dacheng Ren, “Structural effects on inhibition of planktonic growth and biofilm formation of Escherichia coli by Trp/Arg containing antimicrobial peptides.” Applied and Environmental Microbiology. 2010,76(6): 1967-1974.

Jiachuan Pan and Dacheng Ren, “Quorum sensing inhibitors: a patent overview”. Expert Opinion On Therapeutic Patents (Invited Review). 2009, 19(11):1581-1601.

Miao Duo, Mi Zhang, Yan-Yeung Luk and Dacheng Ren, “Inhibition of Candida albicans Growth by Brominated Furanones”. Applied Microbiology and Biotechnology. 2009, 84(6):1551-1563.

Shuyu Hou, Erik A. Button, Ricky Lei Wu, Yan-Yeung Luk and Dacheng Ren, “Prolonged Control of Patterned Biofilm Formation by Bio-inert Surface Chemistry”. Chemical Communication. 2009: 1207-1209.

Farzana Rahman


  • Ph.D., Computer Science, Marquette University, Wisconsin, USA (2013)
  • M.S., Computer Science, Marquette University, Wisconsin, USA (2010)
  • B.S., Computer Science and Engineering, Bangladesh University of Engineering and Technology (BUET), Bangladesh (2008)

Research interests:

  • Mobile and pervasive health technologies
  • Internet-of-Things
  • Computer science education
  • Impact of active learning pedagogy in CS courses
  • Broadening participation of women and underrepresented students in CS

Current research:

Her research spans the domains of mobile healthcare, healthcare data analytics, and pervasive health technologies. Broadly, her research focuses on integrating mobile and pervasive technologies in health and wellness environments to improve users’ quality of life, mental and physical wellbeing. Her research also expands in the direction of mobile security, information and communication technology for development (ICT4D), Computer Science education, broadening participation in computing, best practices in undergraduate research, and how different pedagogical practices can increase diversity in CS. She is also interested in finding why and how people from diverse backgrounds are learning programming in 21stcentury and how the development of new kind of scalable programming environments or platform can support all kind of learners.

Teaching Interests:

  • Introduction to Programming
  • Object-Oriented Programming
  • Data Structure
  • Mobile Application Programming
  • Mobile and Pervasive Computing
  • Computer Architecture


  • Provost LA Initiative Award, Florida International University, Spring 2018-2019
  • Best paper award, IEEE Conference on Networking Systems and Security (NSysS’ 16), 2016
  • Systers Pass-It-On (PIO) Award, Anita Borg Institute, 2014
  • Best paper award, IEEE International Conference on e-Health Networking, Applications and Services (Healthcom’ 12), 2012

Recent Publications:

  1. Claire Fulk, Grant Hobar, Kevin Olsen, Samy El-Tawab, Puya Ghazizadeh, and Farzana Rahman. Cloud-based Low-cost Energy Monitoring System through the Internet of Things. In Proceedings of the IEEE International Workshop of Mobile and Pervasive Internet of Things (PerIoT 2019), in Conjunction with IEEE Percom ’19. Japan, March 2019.
  2. Farzana Rahman and Samy El-Tawab. App Development for the Social Good: Teaching Socially Conscious Mobile App Development in an Upper-Level Computer Science Course. In Proceedings of the 2019 ASEE Annual Conference and Exposition (ASEE ’19), Orlando, FL, July 2019.
  3. Farzana Rahman. Leveraging Visual Programming Language and Collaborative Learning to Broaden Participation in Computer Science. In Proceedings of the 19th Annual Conference on Information Technology Education (SIGITE ’18), Ft Lauderdale, FL, Oct 2018.
  4. Saiyma Sarmin, Nafisa Anzum, Kazi Hasan Zubaer, Farzana Rahman, A. B. M. Alim Al Islam. Securing Highly-Sensitive Information in Smart Mobile Devices through Difficult-to-Mimic and Single-Time Usage Analytics. In Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems, Computing, Networking and Services (MobiQuitous ’18), Nov 2018.
  5. Farzana Rahman. From App Inventor to Java: Introducing Object-oriented Programming to Middle School Students Through Experiential Learning. In Proceedings of the 2018 ASEE Annual Conference and Exposition (ASEE ’18), Salt Lake City, UT, July 2018.
  6. Farzana Rahman, Healthy Hankerings: Motivating Adolescents to Combat Obesity with a Mobile Application. In Proceedings of the 20th International Conference on Human-Computer Interaction (HCI International ’18), NV, July, 2018.
  7. Farzana Rahman, Perry Fizzano, Evan M. Peck, Shameem Ahmed, and Stu Thompson. How to Build a Student-Centered Research Culture for the Benefit of Undergraduate Students. In Proceedings of the 49th ACM Technical Symposium on Computer Science Education (SIGCSE ’18), Maryland, Feb 2017.

Zhao Qin


  • Ph.D., Civil and Environmental Engineering, Massachusetts Institute of Technology, 2013.
  • M.Eng., Engineering Mechanics, Tsinghua University, Beijing, China, 2008.
  • B.Eng., Engineering Mechanics, Tsinghua University, Beijing, China, 2006.

Research interests:

  • Development of advanced computational modeling methods for designing new materials of advanced material functions.
  • Bottom-up modeling of the multi-scale structure-mechanics relationship of nano- and bio-materials. Fundamental understanding of the material behaviors of biological and synthetic polymeric materials from the most molecular scale to macroscopic length scale.
  • Learn from nature and discover bio-inspired ideas to create and design materials with innovative material functions.
  • Prototyping, optimization and characterization of synthetic composite materials with multiple advanced material functions, for efficient usage of engineering materials.

Current Research:

My research focuses on developing advanced computational modeling methods, using them to study fundamental mechanical properties of biological materials and applying the knowledge to design new materials of advanced mechanical functions. I have a broad background in mechanics and structure of materials, with specific training and expertise in the multi-scale structure-mechanics relationship in biological materials. My research focuses on the structure and mechanics insight of general natural materials as many of them, such as mussel glue, insect wings and membranes, have fascinating mechanical and biological properties built up from simple basic molecular building blocks. I am thus strongly motivated to develop tools that enable us to learn from nature to make material innovations more efficient. I have developed a multi-scale high-throughput computational modeling method that enables me to study materials from the most fundamental molecular scale to macroscopic length scale. I have applied the tool to the investigations of several different biological materials and have revealed new mechanisms hidden in their complex structures. Some of the findings contribute to fundamental understandings of diseases that take place from the molecular scale; others contribute to designs and prototyping of synthetic composite materials with multiple advanced material functions. I have developed principles to help to optimize the material functions through structures, making it feasible to rationally design the mechanics and longevity of composite materials, leading to better performance with less energetic and environmental cost than conventional engineering materials for industrial applications.

Courses Taught:

  • CEE 325 – Mechanics of Materials
  • CEE 676 – Multiscale Material Modeling and Simulations


  • National Science Foundation CAREER Award, NSF, May 2022
  • 2021 Fellowship to 25th International Congress of Theoretical and Applied Mechanics (ICTAM 2020+1) from USNC/TAM.
  • 2020 Collaboration for Unprecedented Success and Excellence (CUSE) Grant, Syracuse University
  • Best paper award in Journal of Applied Mechanics (ASME) for the paper “Bioinspired Graphene Nanogut” among papers published during 2012-2013
  • Outstanding Paper Award, ASME Global Congress on Nano Engineering for Medicine and Biology, Boston, MA, 2013
  • Chinese Government Award For Outstanding Self-Financed Students Abroad, NY, 2011
  • Best Paper Award, International Journal of Applied Mechanics (Imperial College Press) 2010
  • Schoettler Graduate Fellowship, Civil and Environmental Engineering, MIT, 2010
  • SAMSUNG Scholarship, Tsinghua University, China, 2007
  • 2nd Rank National Scholarship, Tsinghua University, China, 2003

Recent Publications:

DA Qureshi, S Goffredo, Y Kim, Y Han, M Guo, S Ryu, Z Qin (2022) Why mussel byssal plaques are tiny yet strong in attachment, Matter, 5, 710-724

S Liu, K Duan, J Feng, L Li, X Wang, Y Hu, Z Qin (2022), The design of strongly bonded nanoarchitected carbon materials for high specific strength and modulus, Carbon, 195, 387-394

R Xu, L Yang, Z Qin (2022), Design, manufacture, and testing of customized sterilizable respirator, Journal of the Mechanical Behavior of Biomedical Materials, 131, 105248

L Yang, D Park, Z Qin (2021), Material Function of Mycelium Based Bio-composite: A Review, Frontiers in Materials, 8, 374

J Cui, M Jiang, M Nicola, A Masic, Z Qin (2021), Multiscale understanding in fracture resistance of bamboo skin, Extreme Mechanics Letters, 49, 101480

J-K Qin, C Sui, Z Qin, J Wu, H Guo, L Zhen, C-Y Xu, Y Chai, C Wang, X He, P D Ye, J Lou (2021), Mechanical anisotropy in two-dimensional selenium atomic layers, Nano Letters, 21, 8043-8050

J. L. Kessler, G. Kang, Z. Qin, H. Kang, F. G. Whitby, T. E. Cheatham, C. P. Hill, Y. Li, and S. Michael Yu (2021), Peptoid Residues Make Diverse, Hyperstable Collagen Triple-Helices, J. Am. Chem. Soc., 143, 29, 10910–10919

J Ni, S. Lin, Z. Qin, D. Veysset, X. Liu, Y. Sun, A.J. Hsieh, R. Radovitzky, K.A. Nelson, X. Zhao (2021), Strong Fatigue-Resistant Nanofibrous Hydrogels Inspired by Lobster Underbelly, Matter, 4, 1919–1934.

Q Huang, T Deng, W Xu, CK Yoon, Z Qin, Y Lin, Tengfei Li, Y. Yang, M Shen, S M. Thon, J B. Khurgin, D H. Gracias (2020), Solvent Responsive Self‐Folding of 3D Photosensitive Graphene Architectures, Adv. Intell. Syst., 2020, 2000195

K Tanuj Sapra, Z Qin, A Dubrovsky-Gaupp, U Aebi, D J Müller, M J Buehler, O Medalia (2020), Nonlinear mechanics of lamin filaments and the meshwork topology build an emergent nuclear lamina, Nature Communications, 11, 6205

X Guo, L Zhao, Z Qin, L Wu, A Shehu, Y Ye (2020), Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement, Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 1697-1707

JL Zitnay, GS Jung, AH Lin, Z Qin, Y Li, SM Yu, MJ Buehler, JA Weiss (2020), Accumulation of collagen molecular unfolding is the mechanism of cyclic fatigue damage and failure in collagenous tissues, Science Advances, 6, eaba2795

G Grezzana, HC Loh, Z Qin, MJ Buehler, A Masic, F Libonati, Probing the Role of Bone Lamellar Patterns through Collagen Microarchitecture Mapping, Numerical Modeling, and 3D‐Printing (2020), Advanced Engineering Materials, 2000387

J Cui, Z Qin, A Masic, MJ Buehler, Multiscale structural insights of load bearing bamboo: A computational modeling approach (2020), Journal of the Mechanical Behavior of Biomedical Materials, 107, 103743

Z Qin, Q Yu, MJ Buehler, Machine learning model for fast prediction of the natural frequencies of protein molecules (2020), RSC Advances, 10, 16607-16615

B Azimi, M. Milazzo, A. Lazzeri, S. Berrettini, M.J. Uddin, Z. Qin, M.J. Buehler, S. Danti, Electrospinning piezoelectric fibers for biocompatible devices (2020), Advanced Healthcare Materials, 9, 1901287

Z Qin, L Wu, H Sun, S Huo, T Ma, E Lim, P-Y Chen, B Marelli, M J Buehler (2020), Artificial intelligence method to design and fold alpha-helix structural proteins from the primary amino acid sequence, Extreme Mechanics Letters, 36, 100652

J Liu, S Lin, X Liu, Z Qin, Y Yang, J Zang, and X Zhao (2020), Fatigue-resistant Adhesion of Hydrogels, Nature Communications, 11, 1071

J Wu, Z Qin, L Qu, H Zhang, F Deng, M Guo (2019), Natural hydrogel in American lobster: a soft armour with high toughness and strength, Acta Biomaterialia, Vol 88, pp. 102-110

Y Han, M-Y Li, G-S Jung, M A. Marsalis, Z Qin, M J. Buehler, L-J Li, D A. Muller (2018), Sub-Nanometer Channels Embedded in Two-Dimensional Materials, Nature Materials, Vol. 17, pp 129-133

Z Qin, G S Jung, M J Kang, M J. Buehler (2017), The mechanics and design of light-weight three-dimensional graphene assembly, Science Advances, Vol. 3, paper #: e1601536

Qinru Qiu


  • PhD

Lab/Center Affiliation(s):

  • AMPS (Advanced Microprocessor and Power-aware Systems)

Research Interests:

  • Dynamic power and thermal management for computer systems
  • Power and performance optimization of energy harvesting real-time embedded systems
  • Neuromorphic computing and high performance computing for cognitive applications

Current Research:

Excessive energy dissipation has become one of the limiting factors that prevents the sustained growth of computation power of IT facilities. High power consumption reduces system reliability, increases energy and cooling cost, and cuts the battery cycle time of mobile devices. Aiming at curbing the system energy dissipation, green computing has attracted substantial interests in recent years. Dr. Qiu’s primary research interest covers different areas in green computing, from runtime power and thermal management of computer systems to energy harvesting real-time embedded system. The goal of her research is to provide machine intelligence to today’s computing platforms to achieve autonomous resource management with energy and thermal awareness.

Her second research area is architecture design of neuromorphic computing. Neuromorphic computing refers to the emerging computation concept inspired by the principles of information processing in human neural system. It is widely accepted that human beings are much superior to machines in some areas such as image recognition. With the increase of our knowledge on brain function and our capability in realizing massive parallel computation and communication, it is time to investigate new algorithm and hardware architecture for signal processing and perception. Dr. Qiu’s research focuses on the software and hardware development for such computing systems.

Courses Taught:

  • VLSI Design
  • Computer architecture


  • ACM SIGDA Distinguished Service Award (2011)
  • NSF Career Award (2009)
  • American Society for Engineering Education (ASEE) Summer Research Faculty Fellowship (2007)

Selected Publications:

Shen, Y. Tan, J. Lu, Q. Wu and Qinru Qiu, “Achieving Autonomous Power Management Using Reinforcement Learning,”ACM Transactions on Design Automation of Electronic Systems, Vol. 18, Iss. 2, pp. 24032, March 2013.

Ge, Qinru Qiu, and Q. Wu, “A Multi-Agent Framework for Thermal Aware Task Migration in Many-Core Systems,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Volume: 20 , Issue: 10, pp. 1758 – 1771, 2012.

Liu, J. Liu, Q. Wu and Qinru Qiu, “Harvesting-Aware Power Management for Real-Time Systems with Renewable Energy,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Volume: 20 , Issue: 8, pp. 1473 – 1486, 2012.

Qinru Qiu, Q. Wu, M. Bishop, R. Pino, and R. W. Linderman, “A Parallel Neuromorphic Text Recognition System and Its Implementation on a Heterogeneous High Performance Computing Cluster,” IEEE Transactions on Computers, Digital Object Identifier: 10.1109/TC.2012.50.

H. Lu, Qinru Qiu, A. R. Butt and K. W. Cameron, “End-to-End Energy Management,” Computer, 44 (11), November 2011.

Quinn Qiao


  • Ph.D. Virginia Commonwealth University, 2006
  • M.S. Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Science, 2003
  • B.S. Hefei University of Technology, Hefei, 1999

Research Interests:

  • Solar cells
  • Batteries
  • Biomedical sensors
  • Precision agriculture
  • Micro/nano fabrication

Current Research:

Dr. Qiao’s research focuses on photovoltaics, lithium metal/ion batteries, sensors, micro/nano manufacturing/fabrication, Food-Energy-Water (FEW) sustainability and precision agriculture technologies. He has published more than 200 peer reviewed papers in leading journals including Science, Nature Communications, Energy and Environmental Science, Journal of the American Chemical Society, Advanced Materials, Advanced Energy Materials, Advanced Functional Materials, Nanoscale, Joule, ACS Energy Letters, Nano Energy, etc. He has received more than $11M on research grants as PI or Co-PI from NSF, NASA, USAID, EDA, 3M, Agilent, Raven Industries, etc.


  • 2018 Commercialization Award, SDSU
  • 2016 Faculty Excellence for Global Engagement in International Research, SDSU
  • 2015 Distinguished Researcher of the Year, SDSU
  • 2014 F O Butler Award for Excellence in Research, SDSU
  • 2014 Visiting Professorship from Hefei University of Technology, China.
  • 2013 Best Poster Award at 3rd International Conference on Nanotek and Expo, Las Vegas, NV, USA.
  • 2012 Best Paper Award, Inter-Continental Advanced Materials for Photonics (I-CAMP) Summer School on renewable and sustainable energy
  • 2012 3M Non-tenured Faculty Award
  • 2012 Young Investigator Award
  • 2010 NSF CAREER Award
  • 2009 Bergmann Memorial Research Award from US-Israel Binational Science Foundation
  • 2009 Doctor New Investigator Award from American Chemical Society Petroleum Research Fund
  • 2006 Chinese Government Award for Outstanding Self-financed Student Abroad, China Scholarship Council (CSC)
  • 2006 ASME Solar Energy Division Graduate Student Award

Select Publications:

Yi Hou, Erkan Aydin, Michele De Bastiani, Chuanxiao Xiao, Furkan H Isikgor, Ding-Jiang Xue, Bin Chen, Hao Chen, Behzad Bahrami, Ashraful H Chowdhury, Andrew Johnston, Se-Woong Baek, Ziru Huang, Mingyang Wei, Yitong Dong, Joel Troughton, Rawan Jalmood, Alessandro J Mirabelli, Thomas G Allen, Emmanuel Van Kerschaver, Makhsud I Saidaminov, Derya Baran, Qiquan Qiao, Kai Zhu, Stefaan De Wolf, Edward H Sargent, Efficient tandem solar cells with solution-processed perovskite on textured crystalline silicon, Science, 367 (2020) 1135-1140.

Rajesh Pathak, Ke Chen, Ashim Gurung, Khan Mamun Reza, Behzad Bahrami, Jyotshna Pokharel, Abiral Baniya, Wei He, Fan Wu, Yue Zhou, Kang Xu, Qiquan Quinn Qiao, Fluorinated hybrid solid-electrolyte-interphase for dendrite-free lithium deposition, Nature Communications, 11 (2020) 1-10.

Yinhua Lv, Ruihan Yuan, Bing Cai, Behzad Bahrami, Ashraful Haider Chowdhury, Chi Yang, Yihui Wu, Qiquan Qiao, Shengzhong Liu, Wen-Hua Zhang, Angew. Chem. Int. Ed., (2020). doi:10.1002/anie.201915928

Yilei Wu, Sebastian Schneider, Christopher Walter, Ashraful Haider Chowdhury, Behzad Bahrami, Hung-Chin Wu, Qiquan Qiao, Michael F Toney, Zhenan Bao, Fine-Tuning Semiconducting Polymer Self-Aggregation and Crystallinity Enables Optimal Morphology and High-Performance Printed All-Polymer Solar Cells, J. Am. Chem. Soc., 2020, 142, 1, 392-406.

Md Ashiqur Rahman Laskar, Wenqin Luo, Nabin Ghimire, Ashraful Haider Chowdhury, Behzad Bahrami, Ashim Gurung, Khan Mamun Reza, Rajesh Pathak, Raja Sekhar Bobba, Buddhi Sagar Lamsal, Ke Chen, Md Tawabur Rahman, Sheikh Ifatur Rahman, Khalid Emshadi, Tingting Xu, Mao Liang, Wen‐Hua Zhang, Qiquan Qiao, Phenylhydrazinium Iodide for Surface Passivation and Defects Suppression in Perovskite Solar Cell, Advanced Functional Materials, 2020, 2000778. https://doi.org/10.1002/adfm.202000778

Rajesh Pathak, Ke Chen, Ashim Gurung, Khan Mamun Reza, Behzad Bahrami, Fan Wu, Ashraf Chaudhary, Nabin Ghimire, Bin Zhou, Wen‐Hua Zhang, Yue Zhou, Qiquan Qiao, Ultrathin Bilayer of Graphite/SiO2 as Solid Interface for Reviving Li Metal Anode, Advanced Energy Materials, 9 (2019) 1901486.

Fan Wu, Rajesh Pathak, Ke Chen, Guiqiang Wang, Behzad Bahrami, Wen-Hua Zhang, Qiquan Qiao, Inverted Current-Voltage Hysteresis in Perovskite Solar Cells, ACS Energy Letters, 3(10):2457-2460, 2018.

Hytham Elbohy, Behzad Bahrami, Sally Mabrouk, Khan Mamun Reza, Ashim Gurung, Rajesh Pathak, Mao Liang, Qiquan Qiao, and Kai Zhu. Tuning Hole Transport Layer Using Urea for High‐Performance Perovskite Solar Cells. Advanced Functional Materials, 2019, 29, 1806740. https://doi.org/10.1002/adfm.201806740.

Evan T Vickers, Thomas A Graham, Ashraful H Chowdhury, Behzad Bahrami, Benjamin W Dreskin, Sarah Lindley, Sara Bonabi Naghadeh, Qiquan Qiao, Jin Z Zhang, Improving charge carrier delocalization in perovskite quantum dots by surface passivation with conductive aromatic ligands, ACS Energy Letters, 3 (2018) 2931-2939.

Ashim Gurung, Qiquan Qiao, Solar Charging Batteries: Advances, Challenges, and Opportunities, Joule, 2 (7), 1217-1230, 2018.

Md Faisal Kabir, Md Tawabur Rahman, Ashim Gurung, and Qiquan Qiao, Electrochemical Phosphate Sensors using Silver Nanowires Treated Screen Printed Electrodes, IEEE Sensors Journal, 18 (9), 3480-3485, 2018.

Upendra Neupane, Behzad Bahrami, Matt Biesecker, Mahdi Farrokh Baroughi, and Qiquan Qiao, Kinetic Monte Carlo Modeling on Organic Solar Cells: Domain Size, Donor-Acceptor Ratio and Thickness, Nano Energy, 35, 128-137, 2017.

Roya Naderi, Ashim Gurung, Zhengping Zhou, Geetha Varnekar, Ke Chen, Jiantao Zai, Xuefeng Qian, Qiquan Qiao, Activation of passive nano-fillers in composite polymer electrolyte for higher performance lithium ion batteries, Advanced Sustainable Systems, 1, 8, 1700043, 2017.

Ashim Gurung, Ke Chen, Geetha Varnekar, Reza Khan, Salem Saad Abdulkarim, Rajesh Pathak, Roya Naderi, Qiquan Qiao, Highly Efficient Perovskite Solar Cell Photo-Charging of Lithium Ion Battery using DC-DC Booster, Advanced Energy Materials, 1602105, 2017.

Mukesh Kumar, Ashish Dubey, Nirmal Adhikari, Swaminathan Venkatesan and Qiquan Qiao, Strategic review of secondary phases, defects and defect-complexes in kesterite CZTS-Se solar cells, Energy & Environmental Science, 8, 3134-3159, 2015.

Qi Wang, Iain W. H. Oswald, Xiaolong Yang, Guijiang Zhou, Huiping Jia, , Qiquan Qiao, Yonghua Chen, Jason Hoshikawa-Halbert, Bruce E. Gnade, A Non-Doped Phosphorescent Organic Light-Emitting Device with Above 31% External Quantum Efficiency, Advanced Materials, 26: 8107–8113, 2014, doi: 10.1002/adma.201402947 .

Jing Li, Min Yan, Yu Xie, and Qiquan Qiao, Linker Effects on Optoelectronic Properties of Alternate Donor-Acceptor Conjugated Polymers. Energy & Environmental Science, 4 (10), 4276-4283, 2011.

Mahbube Siddiki, Jing Li, David Galipeau, and Qiquan Qiao*, A review of polymer multijunction solar cells (invited review, among top ten most-read paper in July 2010). Energy & Environmental Science, 3(7): p. 867-883, 2010.

Prakash Joshi, Yu Xie, Mike Ropp, David Galipeau, Shelia Bailey, and Qiquan Qiao. Dye-sensitized Solar Cells based on Low Cost Nanoscale Carbon/TiO2 Composite Counter Electrode. Energy & Environmental Science (invited and cover article, among top ten most-read paper in August 2010), 2, 426 – 429, 2009.

Prasad Taranekar, Qiquan Qiao, Hui Jiang, Ion Ghiviriga, Kirk S. Schanze, and John R. Reynolds, Hyperbranched Conjugated Polyelectrolyte Bilayers for Solar-Cell Applications, Journal of the American Chemical Society (communication), 129(29), pp 8958 – 8959, 2007.

Vir V. Phoha


  • Ph.D. Texas Tech University

Research Interests:

  • Cyber Security – Cyber offense and defense
  • Machine Learning
  • Smart phones and tablets security
  • Biometrics — network based and standalone

Current Research:

My focus is to do original research that cuts across conventional rigorously defined disciplines and unifies basic and common concepts across disciplines. In particular, my research centers around security (malignant systems, active authentication, for example touch based authentication on mobile devices) and machine learning (decision trees, statistical, and evolutionary methods) with a focus on large time series data streams and static data sets, and computer networks (anomalies, optimization). I am also using these methods to build field realizable defensive and offensive Cyber-based systems.

Courses Taught:

  • Security and Machine learning; Biometrics
  • Applied Cryptography


  • IEEE Fellow
  • AAAS Fellow (elected 2018);  NAI Fellow (elect 2020)
  • IEEE Region 1 Technological Innovation  Award, 2017
  • SDPS Fellow (elected 2010)
  • ACM Distinguished Scientist (elected 2008)
  • ACM Distinguished Speaker (2012-2015)

Selected Publications:

  • Amith K. BelmanVir V. Phoha. Discriminative Power of Typing Features on Desktops, Tablets, and Phones for User Identification.ACM Transactions on Privacy and Security. 23(1): 4:1-4:36 (2020)
  • Jin, Vir V. Phoha and R. Zafarani, “Graph-based Identification and Authentication: A Stochastic Kronecker Approach,” in IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2020.3025989.
  • Li, W. Wang, Y. Gao, Vir V. Phoha and Z. Jin, “Wrist in Motion: A Seamless Context-Aware Continuous Authentication Framework Using Your Clickings and Typings,” in IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 2, no. 3, pp. 294-307, July 2020, doi: 10.1109/TBIOM.2020.2997004.
  • Yang Gao; Wei Wang; Vir V Phoha; Wei Sun; Zhanpeng JinEarEcho: Using Ear Canal Echo for Wearable Authentication.Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 3, No. 3, Article 81. Publication date: September 2019. Presented in The 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2019), London, UK, September 11-13, 2019.
  • Shukla and Vir V. Phoha, “Stealing Passwords by Observing Hands Movement,” in IEEE Transactions on Information Forensics and Security, vol. 14, no. 12, pp. 3086-3101, Dec. 2019, doi: 10.1109/TIFS.2019.2911171.

Susan Older


  • B.S. in Computer Science, Washington University
  • Ph.D. in Pure & Applied Logic, Carnegie Mellon University

Research Interests:

  • Semantics of programming languages
  • Logics of programs
  • Access control, security, and trust
  • Concurrency theory

Current Research:

My research primarily focuses on the development and application of mathematical models and specialty logics that support reasoning about complex system behavior, such as concurrency and cyber security. My recent work (joint with Shiu-Kai Chin) has centered on a modal logic for reasoning about access control, security, and trust. This logic can be applied at all levels of abstraction, from organizational policies to network protocols to operating-system requirements to hardware.

I am also interested in the technology transfer of these ideas (specifically, through undergraduate and graduate education): how does one best enable budding engineers and computer scientists to deploy these methods to develop assured systems?

Courses Taught:

  • Discrete mathematics
  • Functional programming
  • Programming languages
  • Applications of formal methods for assurance

Selected Publications:


Shiu-Kai Chin and Susan Older, Access Control, Security, and Trust: A Logical Approach, Taylor & Francis CRC Press, 2011.


Susan Older and Shiu-Kai Chin, “Engineering Assurance at the Undergraduate Level,” IEEE Security & Privacy, Volume 10, Number 6, pages 74-77, Nov/Dec 2012.

Shiu-Kai Chin, Erich Devendorf, Sarah Muccio, Susan Older, and James Royer, “Formal Verification for Mission Assurance in Cyberspace,” Proceedings of the 16th Colloquium for Information Systems Security Education, Orlando, Florida, June 2012.

Glenn Benson, Shiu-Kai Chin, Sean Croston, Karthick Jayaraman, and Susan Older, “Credentials Management for High-Value Transactions,” in Igor Kotenko and Victor Skormin (Eds.), Computer Network Security, 5th International Conference on Mathematical Methods, Models and Architectures for Computer Network Security (MMM-ACNS), St. Petersburg, Russia, September 2010.

Jae C. Oh


  • Ph.D in Computer Science, The University of Pittsburgh

Lab/Center Affiliation(s):

  • Distributed Multi-agent Systems Laboratory (Director)

Areas of Expertise:

  • Distributed systems, multi-agent systems, Game Theory, and Symbolic and Non-Symbolic AI.
  • Studying Interaction dynamics among multiple entities in networked and non-networked environments.

I am interested in studying interaction dynamics among multiple entities in networked and non-networked environments, resource allocation and management in distributed environments, dialogical artificial intelligence, and studies on visual dialogues and visual art.

Honors and Awards:

  • Distinguished Scholar, International Society of Applied Intelligence, 2011.

Selected Publications:

Nathaniel Gemelli, Jeffrey Hudack, Steven Loscalzo and Jae Oh, “”Using Coalitions with Stochastic Search to solve Distributed Constraint Optimization Problems,” in Proceedings of the 7th International Conference on Agents and Artificial Intelligence. 2015

A Game Theoretic Framework for Community Detection, The 2012 IEEE/ACM International Conference in Social Networks Analysis and Mining, ASONAM 2012. Best Paper Award. with K. Mehrotra and P. McSweeny

An Open Co-op Model for Global Enterprise Technology Education: Integrating the Internship and Course Work. SIGCSE 2012. With J. Saltz.

Joo Lee and Jae C. Oh, A Node-Centric Reputation Computation Algorithm on Online Social Networks, in Lecture Notes in Social Networks: Application of Social Media and Social Network Analysis, Springer International Publishing, Eds:, Kazienko, Przemyslaw and Chawla, Nitesh, Pages 1-22.

Jae C. Oh, Emergence of self-reflection through visual dialogues based on evolutionary algorithms,” a description of Informatrix III from a computer science perspective, in the Art Catalogue of 14th International Festival of Intermedia Art, Maribor, Solvenia, October 13, 2008, English), ISBN 978-961-6154-19-2, an Art Catalogue

Wonkyung Park and Jae C. Oh, \New Entropy Model for Extraction of Structural Information from XCS Population,” Proceedings of the Genetic and Evolutionary Computation Conference 2009 (GECCO 2009), July, Montreal, Canada, ACM, Best paper award.

Dawit Negussey


  • Ph.D. University of British Columbia

Research Interests:

  • Geofoam geotechnics
  • Sensors and grids
  • Innovative infrastructures

Teaching Interests:

  • Soil mechanics
  • Geotechnical
  • Transportation engineering

Select Publications:

Negussey, D., Andrews, L., Singh, S., and Liu, C. (2019). “Forensic Investigation of a Wide Culvert Reconstruction Failure.” ASCE Journal of Pipeline Systems, Vol. 10, No. 3.

Liu, C., and Negussey, D. (2018). “Effects of Installation of Different Density Geofoam and Continuous Vertical Gaps.” Proceedings of the 5th International Conference on Geofoam, Springer International, Switzerland.

Temesgen, E., Andrews, L., and Negussey, D. (2018). “Non-Destructive Testing for EPS Geofoam Quality Assurance.” Proceedings of the 5th International Conference on Geofoam, Springer International, Switzerland.

Birhan, A., and Negussey, D. (2014). “Effect of Confinement on the Creep Behavior of EPS Geofoam.” ASTM Geotechnical Testing Journal, Vol. 37, No. 6.

Stuedlein, A. and Negussey, D. (2013) “Use of EPS Geofoam for Support of a Bridge,” American Society of Civil Engineers, Geotechnical Special Publication No. 230.

Chilukuri K. Mohan


  • Ph. D., State Univ. of New York at Stony Brook
  • B.Tech., Indian Institute of Technology, Kanpur

Lab/Center Affiliation(s) :

  • Syracuse Evolutionary and Neural Systems Exploration (SENSE) Lab
  • Smart Grid Lab

Research Interests:

  • Artificial intelligence
  • Evolutionary algorithms
  • Data mining
  • Social networks
  • Bioinformatics

Current Research:

Recent work has involved the development of algorithms for:

the recognition of patterns in promoter regions of genome sequences,
unsupervised detection of anomalies in data (including time series), and
optimization problems in the design of multiband cognitive radio networks.
Other current work includes the investigation of robustness properties of social networks, as well as the use of network models in understanding the dynamics of evolutionary algorithms.

Teaching Interests:

  • Smart grid
  • Social networks
  • Evolutionary algorithms
  • Neural networks


  • Distinguished Scholar Award, International Society of Applied Intelligence, July 2011.

Selected Publications:

Linkage Sensitive Particle Swarm Optimization (D. Devicharan and C.K. Mohan), in Handbook of Swarm Intelligence – Concepts, Principles, and Applications (eds. B.K. Panigrahi, Y. Shi, and B. Lim), pp. 119-132, 2011.

Rank-Based Outlier Detection with (HuaMing Huang, Kishan Mehrotra Chilukuri K. Mohan), in Journal of Statistical Computation and Simulation, Oct. 2011.

Distributed In-Network Path Planning for Sensor Network Navigation in Dynamic Hazardous Environments (D. Chen, C.K. Mohan, K.G. Mehrotra, and P.K. Varshney), in Wireless Communications and Mobile Computing 12(8): 739-754, 2012.

SMAlign: Alignment of DNA Sequences with Gap Constraints (F. Alobaid, K. Mehrotra, C.K. Mohan, and R. Raina), in Proc. BICOB, Las Vegas, March 2012.

Reference Set Metrics for Multi-Objective Algorithms (C.K. Mohan and K. Mehrotra), in Proc. SEMCCO, pp.723-730, Dec. 2011.

Young B. Moon


  • Ph.D., Purdue University
  • M.S., Stanford University
  • B.S., Seoul National University

Areas of Expertise:

  • Cyber-Manufacturing Systems
  • Cyber-Manufacturing Security
  • Systems Modeling and Simulation
  • Application of Machine Learning and Artificial Intelligence
  • Sustainable Product Realization Processes and Systems

Professor Moon teaches courses and conducts research in the areas of Cyber-Manufacturing Systems, Cyber-Manufacturing Security, Sustainable Manufacturing, Product Realization Processes and Systems, Enterprise Resource Planning (ERP) Systems, Systems Modeling and Simulation, Computer Integrated Manufacturing (CIM), Product Lifecycle Management (PLM), and Application of Machine Learning. He has had extensive interactions with industry and has published over 120 journal and conference publications. He is on Editorial Board for several international journals. He is active in a variety of capacities with numerous professional organizations including ASME, INCOSE, ABET, ASEE, IFIP and SME. Moon is a licensed P.E. (Professional Engineer) registered in the state of New York, a CFPIM (Certified Fellow in Production and Inventory Management), and a CMfgE (Certified Manufacturing Engineer). A Fulbright Scholar, Dr. Moon has held visiting positions in various organizations across the globe.

Honors and Awards:

  • Outstanding Service Award from INCOSE (International Council on Systems Engineering)

Selected Publications:

Espinoza-Zelaya, C. and Y.B. Moon, “Resilience Enhancing Mechanisms for Cyber-Manufacturing Systems against Cyber-Attacks,” The 10th IFAC Triennial Conference on Manufacturing Modeling, Management and Control (MIM 2022), Nantes, France, June 22–24, 2022.

Prasad, R. and Y.B. Moon, “Architecture for Preventing and Detecting Cyber-Attacks in Cyber-Manufacturing Systems,” The 10th IFAC Triennial Conference on Manufacturing Modeling, Management and Control (MIM 2022), Nantes, France, June 22–24, 2022.

Song, J., Wang, J. and Y.B. Moon, “Blockchain Applications in Manufacturing Systems: A Survey,” Proceedings of the ASME International Mechanical Engineering Congress and Exposition, Virtual, November 1–4, 2021.

Wu, M., Song, J., Sharma, S., Di, J., He, B., Wang, Z., Zhang, J., Lin, L., Greaney, E., and Y.B. Moon, “Development of Testbed for Cyber-Manufacturing Security Issues,” International Journal of Computer Integrated Manufacturing, vol. 33, no. 3, pp. 302–320, 2020.

Wu, M. and Y.B. Moon, “Alert Correlation for Detecting Cyber-Manufacturing Attacks and Intrusions,” Journal of Computing and Information Science in Engineering, Transactions of the ASME, vol. 20, no. 1, pp. 011004-1–011004-12, 2020.

Wu, M., Song, Z., and Y.B. Moon, “Detecting Cyber-Physical Attacks in CyberManufacturing Systems with Machine Learning Methods,” Journal of Intelligent Manufacturing, vol. 30, no 3, pp. 1111–1123, 2019.

Wu, M. and Y.B. Moon, “Intrusion Detection for Cyber-Manufacturing System,” Journal of Manufacturing Science and Engineering, Transactions of the ASME, vol. 141, no. 3, pp. 031007-1–031007-9, 2019.

Song, Z. and Y.B. Moon, “Sustainability Metrics for Assessing Manufacturing Systems: A Distance-to-Target Methodology,” Environment, Development and Sustainability, vol. 21, no. 6, pp. 2811–2834, 2019.

Wu, M. and Y.B. Moon, “DACDI (Define, Audit, Correlate, Disclose, and Improve) Framework to Address Cyber-Manufacturing Attacks and Intrusions,” Special Issue on Industry 4.0 and Smart Manufacturing, Manufacturing Letters, vol. 15, Part B, pp. 155–159, 2018.

Moon, Y.B., “Simulation Modeling for Sustainability: A Review of the Literature,” International Journal of Sustainable Engineering, vol. 10, no. 1, pp. 2–19, 2017.

Moon, Y.B., “Enterprise Resource Planning (ERP): A Review of the Literature,” International Journal of Management and Enterprise Development, vol. 4, no. 3, pp. 235–264, 2007.

Shikha Nangia


  • Ph. D. Chemistry (2006) University of Minnesota, Twin Cities
  • M.Sc. Chemistry (2000) Indian Institute of Technology, Delhi, India
  • B.Sc. Chemistry (1998) University of Delhi, Delhi, India

Lab/Center Affiliation:

  • Syracuse Biomaterials Institute

Research interests:

  • Blood-brain barrier
  • Targeted cancer drug delivery
  • Multiscale modeling of nanomaterials
  • Nanomedicine
  • Virus nanotechnology

Current Research:

My research group focuses on studying blood-brain barrier using theoretical and computational techniques. The goal is to enable the transport of drug molecules across the blood-brain barrier, which has been the biggest impediment for finding a cure for brain related ailments such as Alzheimer’s and Parkinson’s diseases. This project was funded through the NSF-CAREER award.

Additionally, we our group focuses on computational multiscale modeling of nanomaterials, including nanomedicine, drug delivery nanocarriers, and nano-bio interactions. The goal of this research is to design efficient nanosized drug delivery carriers to target cancer tumor cells that hold the key to a new era of cancer treatment. To achieve our research goals we are developing quantitative approaches for characterizing interaction of nanoscale entities with living matter (serum, cell-membranes, cells). Our computational approaches are directed to analyze these complex nano-bio interactions in an effort to design safe and smart drug delivery nanocarriers.

Courses Taught:

  • Statistical thermodynamics
  • Multiscale computational methods
  • Reaction kinetics
  • Engineering Materials, Properties, and Processing


  • 2017 Dean’s Award for Excellence in Education
  • 2017 Meredith Teaching Recognition Award
  • 2016 College Technology Educator of the Year, Technical Alliance of Central New York
  • 2016 ACS OpenEye Outstanding Junior Faculty Award
  • 2015 Nappi Research Competition Award
  • NSF CAREER award (2015)
  • Faculty Excellence Award, College of Engineering and Computer Science, Syracuse University (2015)

Recent Publications:

Development of effective stochastic potential method using random matrix theory for efficient conformational sampling of semiconductor nanoparticles at non-zero temperatures, J. Scher, M. Bayne, A. Srihari, S. Nangia, and A. Chakraborty, Journal of Chemical Physics, 149, 014103 (2018). https://aip.scitation.org/doi/10.1063/1.5026027
Self-assembly simulations of classic claudins-insights into the pore structure, selectivity and higher-order complexes, F. J. Irudayanathan, X. Wang, N. Wang, S. Willsey, I. Seddon, and S. Nangia, Journal of Physical Chemistry B, 122, 7463-7474 (2018). https://pubs.acs.org/doi/10.1021/acs.jpcb.8b03842

Mechanism of Antibacterial Activity of Choline-Based Ionic Liquids (CAGE), Kelly N. Ibsen, H. Ma, A. Banerjee, E. E. L. Tanner, S. Nangia, and S. Mitragotri, ACS Biomaterials Science and Engineering, 4, 2370-2379 (2018). https://pubs.acs.org/doi/abs/10.1021/acsbiomaterials.8b00486

Dynamics of OmpF trimer formation in the bacterial outer membrane of Escherichia coli, H. Ma, A. Khan, and S. Nangia, Langmuir, 34, 5623-5634 (2018). https://pubs.acs.org/doi/10.1021/acs.langmuir.7b02653

Architecture of the paracellular channels formed by Claudins of the blood-brain barrier tight junctions, F. J. Irudayanathan, N. Wang, X. Wang , and S. Nangia, Annals of the New York Academy of Sciences, 1749-6632 (2017). https://nyaspubs.onlinelibrary.wiley.com/doi/full/10.1111/nyas.13378

Modeling diversity in structures of bacterial outer membrane lipids H. Ma, D. D. Cummins, N. B. Edelstein, J. Gomez, A. Khan, M. D. Llewellyn, T. Picudella,  S. R. Willsey and S. Nangia, Journal of Chemical Theory and Computation, 13, 811–824 (2017). http://dx.doi.org/10.1021/acs.jctc.6b00856

Drug-specific design of telodendrimer architecture for effective Doxorubicin encapsulation, W. Jiang, X. Wang, D. Guo, J. Luo, and S. Nangia, Journal of Physical Chemistry B, 120, 9766–9777 (2016).  http://dx.doi.org/10.1021/acs.jpcb.6b06070

Joao Paulo Marum


Ph.D. in Computer Science – University of Mississippi (2021)

Areas of Expertise:

  • Programming Languages
  • Software Engineering
  • Augmented Reality
  • Virtual Reality

My research is focused in using multi-paradigm programming to solve accuracy issues on User Interactive System, especially in Virtual and Augmented Reality.  This research uses dependency relationships between loosely coupled components. We use techniques of Functional Reactive Programming and Change Propagation to identify how a change may cause additional modification in other several components and force the systems to wrap all these modification in a single update cycle. This research resulted in a design pattern that was applied into User Interfaces, Virtual Reality and it can be applied on many other research fields. I am also currently interested in research about CS Education and Accessibility technologies especially focused on education and autonomy.

Honors and Awards:

Dissertation Fellowship Award, University of Mississippi, 2019.

Outstanding Doctoral Student Award, University of Mississippi, 2021.

Order of Engineer inductee, School of Engineering. University of Mississippi. 2021.

Pledge of Computing Professional inductee, School of Engineering. University of Mississippi. 2021.

Upsilon Pi Epsilon inductee, School of Engineering. University of Mississippi. 2021.

IEEE Computer Science Society Professional Member. IEEE. 2021.

IEEE Education Society Professional Member. IEEE. 2021.

ACM SIGSOFT (Special Interest Group – Software Engineering) Professional Member. ACM. 2021

ACM SIGCSE (Special Interest Group – Computer Science Education) Professional Member. ACM. 2021

ACM SIGCHI (Special Interest Group – Computer-Human Interaction) Professional Member. ACM. 2021

Brazilian Computing Society (SBC) Professional Honor Member. SBC. 2021.

Selected Publications:

Joao Paulo O. Marum, J. Adam Jones, and H. Conrad Cunningham (2019), Towards a reactive game engine, in Proceedings of the 50th IEEE SouthEastCon, IEEE, Huntsville, AL, USA.

Joao Paulo O. Marum, H. Conrad Cunningham, and J. Adam Jones (2020), Unified library for dependency graph reactivity on web and desktop user interfaces, in Proceedings of the ACM Southeast Conference (ACMSE 2020), ACM, Tampa, FL, USA

Joao Paulo O. Marum, J. Adam Jones, and H. Conrad Cunningham (2020), Dependency graph-based reactivity for virtual environments, in Proceedings of the IEEE VR 2020 Workshop on Software Engineering and Architectures for Interactive Systems (SEARIS), IEEE, Atlanta, GA, USA.

Jean-Daniel Medjo Me Biomo


       Ph.D., Electrical and Computer Engineering, Carleton University

       M.A.Sc., Electrical and Computer Engineering, Carleton University

       B.Eng., Electrical Engineering, Polytechnique Montreal

Areas of Expertise:

Routing protocols

Medium access control protocols

Wireless ad hoc networks

Unmanned aerial vehicles’ networks

LEO satellite networks

My research has focused on wireless ad hoc networks, especially the mobile/flying ones. I specialize in the design of routing protocols (Network layer) and medium access control (MAC) protocols (Link layer) for such networks, with the goal of increasing the packet delivery ratio and reducing the end-to-end packet delay/latency while keeping a low overhead. I am interested in integrating artificial intelligence (deep learning, reinforcement learning) in the design. Some applications networks are networks of unmanned aerial vehicles (UAV/drones) and networks of LEO satellites.

Selected Publications:

Jean-Daniel Medjo Me Biomo, Thomas Kunz, and Marc St-Hilaire, “A Novel Routing Protocol for Reducing Packet Latency with Multi-Beam Antennas,” in Computer Networks, Vol. 220, 2023.

Jean-Daniel Medjo Me Biomo, Thomas Kunz, and Marc St-Hilaire, “MBA-DbMAC: A random-access MAC protocol for MBAs,” in Proceedings of the 11th EAI International Conference on Ad Hoc Networks (AdHocNets 2019), Queenstown, New Zealand, November 2019.

Jean-Daniel Medjo Me Biomo, Thomas Kunz, and Marc St-Hilaire, “Exploiting multi-beam antennas for end-to-end delay reduction in ad hoc networks,” in Mobile Networks and Applications, Vol. 23, No. 5, pages 1293-1305, October 2018.

Jean-Daniel Medjo Me Biomo, Thomas Kunz, Marc St-Hilaire, “Exploiting multiple beam antennas for end-to-end delay reduction in ad hoc networks,” in Proceedings of the 9th EAI International Conference on Ad Hoc Networks, Niagara Falls, Canada, September 2017.

Jean-Daniel Medjo Me Biomo, Thomas Kunz, and Marc St-Hilaire, “Directional antennas in FANETs: A performance analysis of routing protocols,” in Proceedings of the Sixth International Conference on Selected Topics in Mobile & Wireless Networking (MoWNet’17), Avignon, France, May 2017.

Thomas Kunz, Jean-Daniel Medjo Me Biomo, and Marc St-Hilaire, “NetAnalyzer: Analyzing dynamic network topologies,” in Proceedings of the 8th IEEE-IFIP Wireless and Mobile Networking Conference (WMNC 2015), pp. 64-71, Munich, Germany, October 2015.

Jean-Daniel Medjo Me Biomo, Thomas Kunz, Marc St-Hilaire, and Yifeng Zhou, “Unmanned aerial ad hoc networks: Simulation-based evaluation of entity mobility models impact on routing performance,” in Aerospace Journal, special issue on Unmanned Aerial Systems (UAS), Vol. 2, No. 3, pp. 392-422, June 2015.

Jean-Daniel Medjo Me Biomo, Thomas Kunz, and Marc St-Hilaire, “An enhanced Gauss-Markov mobility model for simulations of Unmanned Aerial Ad hoc networks,” in Proceedings of the 7th IEEE-IFIP Wireless and Mobile Networking Conference (WMNC 2014), pp. 1-8, Vilamoura, Portugal, May 2014.

Jean-Daniel Medjo Me Biomo, Thomas Kunz, and Marc St-Hilaire, “Routing in Unmanned Aerial Ad hoc networks: Introducing a route reliability criterion,” in Proceedings of the 7th IEEE-IFIP Wireless and Mobile Networking Conference (WMNC 2014), pp. 1-7 , Vilamoura, Portugal, May 2014.

Jean-Daniel Medjo Me Biomo, Thomas Kunz, and Marc St-Hilaire, “Routing in unmanned aerial ad hoc networks: A recovery strategy for greedy geographic forwarding failure,” in Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC 2014), pp. 2236-2241, Istanbul, Turkey, April 2014.

Kristopher Micinski


  • Doctorate of Philosophy, Computer Science, University of Maryland at College Park
  • Bachelor of Science, Computer Engineering, Michigan State University

Areas of Expertise:

  • Programming Languages
  • Static Analysis
  • Formal Methods
  • Foundations of Computer Security and Privacy

My research lies at the intersection of the theory and application of program analyses. Program analyses are tools that examine programs and determine (prove) facts about them. For example, a program analysis might prove that a program can never crash due to a type error. In general, however, program analyses can be arbitrarily complex and infer subtle program invariants relating to myriad applications (such as computer security).

Because program analyses must always approximate program behavior (otherwise they could solve the halting problem), there is an inherent tradeoff between analysis precision and analysis performance. Currently, program analyses are often applied only in limited contexts, as gaining acceptable performance requires too many compromises in terms of analysis precision. My current work focuses on three concurrent threads: tackling fundamental issues relating to scaling static analysis (specifically, scaling analyses to run on supercomputers rather than a single machine as all current analyses do); engineering those analyses (to allow analysis reuse); and applying those analyses to computer security (e.g., to check properties such as information flow and to support complex reverse engineering tasks).

Recent Publications:

  • Symbolic Path Tracing to Find Android Permission-Use Triggers. NDSS Workshop on Binary Analysis Research (BAR 2019).
  • User Comfort with Android Background Resource Accesses in Different Contexts Symposium on Usable Privacy and Security (SOUPS 2018).
  • User Interactions and Permission Use on Android (CHI 2017).

Sinéad C. Mac Namara


  • MSE PhD from Princeton University
  • BA, BAI from Trinity College, University of Dublin

Research interests:

  • collaborative practice in architecture and engineering
  • innovation and creativity in structural engineering education;
  • structural engineering design and structural art;
  • structural performance of shell structures.
  • community engaged and public interest design
  • design build education

Current Research:

Emerging Tools in Structural Engineering

The project Emerging Tools in Structure and Design, will focus on new and emerging design and construction methodologies that are making possible a new generation of structural form and form making. Generation and optimization software; rationalization and analysis tools; and fabrication methods, have all advanced considerably in recent years and are having huge influence on the cutting edge of collaborative practice between architecture and engineering. These tools facilitate ever more radical form making in ever more rational ways and make possible formal expressions and structural efficiencies and elegance that would have been prohibitively complex a mere handful of years ago. Although these tools are highly technical in nature, it can be argued that their development has been driven by speculative architectural design work, and that they are responding to the considerable and significant change in representation tools and construction capability in recent years.

The project will initiate a critical comparative analysis of these emerging tools. I want to trace the origin of the tools, the development, use in the design process, and ultimately the influence on contemporary design and design processes. Do these tools facilitate, or I dare say require, deeper and more rigorous collaboration between disciplinary specific technical experts and architects? How are these tools allowing for rapid testing of speculative designs? Do the tools make possible financial or material savings? In what ways do they impact the nature of the engineer/architect relationship? Does “authorship” enter into the equation? There is much to explore and

Courses taught:

  • Structures II (ARC 311/ARC 612)
  • Advanced Structural Resolution (ARC 500)
  • CEED: Community Engaged Engineering Design (ARC 500)
  • Structures and Innovation (HNR 360)
  • Design of Concrete Structures (CEE 332)
  • Thesis Prep (ARC 509)
  • Thesis (ARC 510)


  • Chancellors Award for Public Engagement and Scholarship, ARC 500 Community Engaged Engineering Design Park Studio, Syracuse University, Spring 2014.
  • AIA New York State Merit Award for Mir’aj with Julie Larsen and Roger Hubeli, April 2014.
  • American Collegiate Schools of Architecture, 2014 ACSA National Design Build Educator Award for Play Perch.
  • American Institute for Architecture Students Freedom By Design, National Community Inspiration Award for Play Perch, January 2014.
  • Chancellors Award for Public Engagement and Scholarship, ARC 490 and 690 Design+Build Play Perch, Syracuse University, Spring 2013.
  • American Society for Engineering Education, St. Lawrence Division, Outstanding Teacher Award. Spring 2013.
  • Reinvent Payphones Design Challenge NYC Mayor’s Office, Selected Winner: Best Functionality, Spring 2013.
  • Best Presentation, Architectural Engineering Division, American Society for Engineering Education, Annual Conference and Exposition, Vancouver BC, June 2011.
  • Meredith Teaching Recognition Award, Syracuse University, Spring 2011.
  • Princeton E-council Award for Teaching Excellence for CEE 366, Spring 2005.

Selected Publications:

S.C. Mac Namara. L. D. Bowne. Controlled Chaos: Modeling Interdisciplinary Practice for Architecture and Engineering Students in a Real World Community Engaged Design Project. Proceedings of the American Society for Engineering Education 2015 Annual Conference and Exposition, Seattle, WA, June 2015.

S.C. Mac Namara. J. V. Dannenhoffer, Scaling Up: The Design Competition as a Tool for Teaching Statics. Proceedings of the American Society for Engineering Education St, Lawrence Division Conference, Syracuse, April 2015.

S.C. Mac Namara. L. D. Bowne. Book Chapter “Play Perch” in Green, Hidden and Above – The Most Exceptional Tree-houses. Sibylle Kramer, Author. 2015. Braun Publishing.

S.C Mac Namara, C. J. Olsen. Collaborations in Architecture and Engineering. Albeena Magazine, Saudi Arabia. March 2013.

S.C. Mac Namara, C. J. Olsen. Collaborations in Architecture and Engineering . Routledge July 2014.

S.C. Mac Namara. L. D. Bowne. Controlled Chaos: Modeling Interdisciplinary Practice for Architecture and Engineering Students in a Real World Community Engaged Design Project. Proceedings of the American Society for Engineering Education 2015 Annual Conference and Exposition, Seattle, WA, June 2015.

S.C. Mac Namara. J. V. Dannenhoffer, Scaling Up: The Design Competition as a Tool for Teaching Statics. Proceedings of the American Society for Engineering Education St, Lawrence Division Conference, Syracuse, April 2015.

S.C. Mac Namara. L. D. Bowne. Book Chapter “Play Perch” in Green, Hidden and Above – The Most Exceptional Tree-houses. Sibylle Kramer, Author. 2015. Braun Publishing.

S.C Mac Namara, C. J. Olsen. Collaborations in Architecture and Engineering. Albeena Magazine, Saudi Arabia. March 2013.

S.C. Mac Namara, C. J. Olsen. Collaborations in Architecture and Engineering . Routledge July 2014.

S.C. Mac Namara. Expanding Expectations: A Community Service Accessible Design-Build Project as an Instigator of Curricular Change. Proceedings of the BTES Building Technology Educators Society Conference 2013 “Tectonics of Teaching” Bristol, R. I, July 2013.

S.C. Mac Namara. R. Svetz, Hidden in Plain Sight: Campus Scavenger Hunt to Teach Structures and Technology to Architects. Proceedings of the American Society for Engineering Education 2013 Annual Conference and Exposition, Atlanta, Georgia, June 2013.

S.C. Mac Namara. J. V. Dannenhoffer, First Encounters: Statics as the Gateway to Engineering Culture. Proceedings of the American Society for Engineering Education 2013 Annual Conference and Exposition, Atlanta, Georgia, June 2013.

S.C. Mac Namara. J. V. Dannenhoffer, Hands-On Learning for Statics in the Smaller Classroom and Potential Scale-Up to the Larger Lecture. Proceedings of the American Society for Engineering Education 2013 Northeast Section Conference. Norwich, VT. March 2013 .

S.C. Mac Namara. Structural Art in Contemporary Engineering Education Festschrift Billington. editors: Hines, Buonopane, & Garlock, International Network for Structural Art, Princeton 2012.

S.C. Mac Namara. Bringing Engineering into the Studio: Design Assignments for Teaching Structures to Architects. Proceedings of the American Society for Engineering Education 2012 Annual Conference and Exposition, San Antonio, Texas, June 2012

S.C. Mac Namara. Topology Optimization: The Use of Cutting Edge Numerical Methods in Teaching Structures to Architects. Proceedings of the American Society for Engineering Education 2012 Annual Conference and Exposition, San Antonio, Texas, June 2012 (abstract accepted).

S.C. Mac Namara. The Design Competition as a Tool for Teaching Statics. Proceedings of the American Society for Engineering Education 2012 Annual Conference and Exposition, San Antonio, Texas, June 2012 (abstract accepted).

C.J. Olsen, S.C. Mac Namara. In Support of Pre-Professional Relations: Guidelines for Effective Educational Collaborations between Architecture and Engineering. Proceedings of the 100th Annual ACSA Meeting, Boston MA, March 1-4, 2012.

S.C. Mac Namara, S.P. Clemence. The Value of Short Term Study Abroad for Civil Engineering Students. Proceedings of the 2011 ICEE Conference on Engineering Education, University of Ulster, Belfast, Northern Ireland, August 21-26, 2011.

C.J. Olsen, S.C. Mac Namara. The Value of Trans-disciplinary Design Education with Architects for Engineering Students. Proceedings of the 2011 ICEE Conference on Engineering Education, University of Ulster, Belfast, Northern Ireland, August 21-26, 2011.

S.C. Mac Namara. Trans-disciplinary Design Teaching for Civil Engineers and Architects – Lessons Learned and Future Plans. Proceedings of the American Society for Engineering Education 2011 Annual Conference and Exposition, Vancouver Canada, June 2011.

S.C. Mac Namara. Pedestrian Bridges – Structural Design by Masters of Architecture Students. Proceedings of the American Society for Engineering Education 2011 Annual Conference and Exposition, Vancouver Canada, June 2011.

S.C. Mac Namara. The Use of Historical Precedent in Teaching Structures to Architecture Students. Proceedings of the American Society for Engineering Education 2011 Annual Conference and Exposition, Vancouver Canada, June 2011.

S.C. Mac Namara. Are We Asking the Wrong Questions? A study of student familiarity with common textbook examples. Proceedings of the ASEE Global Colloquium on Engineering Education, Singapore, October 18-22, 2010.

S.C. Mac Namara. Statics 2.0 – Reimagining a core course for increased innovation and creativity. Proceedings of the ASEE Global Colloquium on Engineering Education, Singapore, October 18-22, 2010.

S.C. Mac Namara, C.J. Olsen, Scott L. Shablak, Carolina B. Harris. Merging Engineering and Architectural Pedagogy – A Trans-disciplinary Opportunity? Proceedings of the 2010 ICEE Conference on Engineering Education, Silesian University of Technology, Gliwice, Poland, July 18-22, 2010.

S.C. Mac Namara, C.J. Olsen, L. J. Steinberg, S.P. Clemence. Inspiring Innovation. Proceedings of the American Society for Engineering Education 2010 Annual Conference and Exposition, Louisville Kentucky, June 2010.

S.C. Mac Namara, M. Garlock, D.P. Billington. Structural Response of Nuclear Containment Shield Buildings with Construction Openings, ASCE Journal of Performance of Constructed Facilities, Vol. 21, No. 2, March/April 2007, pp. 152-156.

S.C. Mac Namara, M. Garlock. Delamination in Two Layer Thin Shell Dome with Unanticipated Construction Openings Proceedings of the 6th International Conference on Computation of Shell and Spatial Structures IASS-IACM 2008: “Spanning Nano to Mega”, John F. ABEL and J. Robert COOKE (eds.) Cornell University, Ithaca, NY, 28-31 May 2008.

S.C. Mac Namara, D.P. Billington. Delamination and the structural response of thin shell concrete in nuclear shield buildings with unanticipated construction openings. Proceedings of the 6th annual international conference on fracture mechanics of concrete and concrete structures, Catania, Italy, 17-22 June 2007.

S.C. Mac Namara, C. J. Olsen. Collaborations in Architecture and Engineering . Routledge July 2014.

Shalabh C. Maroo


  • Post-doctoral Associate, Mechanical Engineering, Massachusetts Institute of Technology (MIT), 2010-2011
  • Ph.D. in Mechanical Engineering, University of Florida, 2009
  • M.S. (thesis) in Mechanical Engineering, University of Florida, 2006
  • B.Tech in Mechanical Engineering, Indian Institute of Technology (IIT) Bombay, 2003

Lab/Center Affiliations:

  • Syracuse Center of Excellence

Areas of Expertise:

  • Thermal management
  • Heat transfer
  • Nano and micro-technology
  • Energy conversion
  • Desalination

Energy and water are two of the most important necessities to maintain global security, prosperity and equity in human civilization. The global energy use is estimated to increase by ~60% while nearly 4 billion people are expected to live under severe water stress by 2050. Drinking water production from seawater is a highly energy intensive process and is inherently coupled with increased energy consumption. Thus, energy efficiency plays an ever more important and critical role in limiting energy demand growth. My research primarily focuses on two fundamental aspects of science and engineering which manifests into a wide variety of applications: 1) thermal management and energy conversion, and 2) water desalination. My research group at Syracuse University is highly multidisciplinary which conducts experiments, nano/micro scale fabrication, and performs molecular and continuum numerical simulations, in the areas of thermal management, heat transfer, energy conversion, transport phenomena, desalination, and optics.


  • 2015 NSF CAREER Award

Selected Publications:

  • Sajag Poudel, An Zou & Shalabh C. Maroo, Thermal Management of Photovoltaics using Porous Nanochannels, ACS Energy & Fuels, 36, 8, 4549–4556, 2022
  • An Zou, Manish Gupta, and Shalabh C. Maroo, Passive nano-heat pipes for cooling and thermal management of electronics and power conversion devices, US Patent 10,881,034
  • Sajag Poudel, An Zou & Shalabh C. Maroo, Disjoining Pressure Driven Transpiration in a Simulated Tree, Journal of Colloid and Interface Science, 616, 895-902, 2022
  • Durgesh Ranjan, An Zou & Shalabh C. Maroo, Vapor Generation via Porous Nanochannel Wicks, accepted for publication in Cell Reports Physical Science, 3, 2, 100738, 2022
  • An Zou, Sajag Poudel, Manish Gupta & Shalabh C. Maroo, Disjoining Pressure of Water in Nanochannels, Nano Letters, 21, 18, 7769–7774, 2021
  • Sajag Poudel, An Zou & Shalabh C. Maroo, Droplet Evaporation on Porous Nanochannels for High Heat Flux Dissipation, ACS Applied Materials & Interfaces, 13, 1, 1853–1860, 2021
  • An Zou, Manisha Gupta & Shalabh C. Maroo, Transpiration Mechanism in Confined Nanopores, Journal of Physical Chemistry Letters, 11, 9, 3637-3641, 2020
  • An Zou, Manish Gupta & Shalabh C. Maroo, Origin, Evolution, and Movement of Microlayer in Pool Boiling, Journal of Physical Chemistry Letters, 9 (14), 3863-3869, 2018
  • An Zou, Ashish Chanana, Amit Agrawal, Peter C.Wayner, Jr. & Shalabh C. Maroo, Steady State Vapor Bubble in Pool Boiling, Scientific Reports, 6, 20240 2016
  • Sumith YD & Shalabh C. Maroo, Surface-Heating Algorithm for Water at Nanoscale, Journal of Physical Chemistry Letters, 6, p. 3765-3769, 2015
  • Joel L. Plawsky, Andrei G. Fedorov, Suresh V. Garimella, Hongbin B. Ma, Shalabh C. Maroo, Chen Li & Youngsuk Nam, Nano- and Microstructures for Thin-Film Evaporation – A Review, Nanoscale and Microscale Thermophysical Engineering, 18 (3), p. 251-269, 2014
  • Matthew McCarthy, Konstantinos Gerasopoulos, Shalabh C. Maroo & A. John Hart, Materials, Fabrication, and Manufacturing of Micro/Nanostructured Surfaces for Phase-Change Heat Transfer Enhancement, Nanoscale and Microscale Thermophysical Engineering, 18 (3), p. 288-310, 2014
  • An Zou & Shalabh C. Maroo, Critical Height of Micro/Nano Structures for Pool Boiling Heat Transfer Enhancement, Applied Physics Letters, 103, 221602, 2013
  • Rishi Raj, Shalabh C. Maroo & Evelyn N. Wang, Wettability of Graphene, Nano Letters, 13 (4), pp 1509–1515, 2013
  • Shalabh C. Maroo & D. Yogi Goswami, Theoretical Analysis of a Single-stage and Two-stage Solar Driven Flash Desalination System based on Passive Vacuum Generation, Desalination, 249 (2), 635-646, 2009
  • Shalabh C. Maroo & Jacob N. Chung, Molecular Dynamic Simulation of Platinum Heater and Associated Nano-scale Liquid Argon Film Evaporation and Colloidal Adsorption Characteristics, Journal of Colloid and Interface Science, 328 (1), 134, 2008

Xiyuan Liu


  • Ph.D. Mechanical Engineering, Michigan State University
  • M.S. Mechanical Engineering, Clemson University, USA
  • B.S. Electrical Engineering and Automation, Hefei University of Technology, China

Areas of Expertise:

  • Microfluidics
  • Point of care diagnosis
  • Wearable biosensor

Xiyuan specializes in microfluidics, point-of-care diagnosis and flexible wearable biosensor development. Specifically, her work focuses on developing biosensing, lab-on-a-chip systems for the emerging applications in clinical diagnosis, wearable sensing and mobile heath (mHeath) technology.


  • Council of Graduate Student (COGS) Conference Reward, 2017
  • MSUFCU Award of Research Translation in Engineering Graduate Research Symposium, 2016
  • Recognition for Outstanding Research in Engineering Graduate Research Symposium, 2016
  • Annals of Biomedical Engineering Award – Most Downloaded Article, 2015

Selected Publications:

  • A. Kowalczewski, C.M. Sakolish, P. Hoang, X. Liu, S. Jacquir, I. Rusyn, Z, Ma. Integration of nonlinear analysis and machine learning for human iPSC-based drug cardiotoxicity testing. (2022) Journal of Tissue Engineering and Regenerative Medicine, 16(8): 732-743.
  • X. Liu. Introducing Data Analytics into Mechanical Engineering Curriculum. Proceedings of American Society for Engineering Education 2022 Annual Conference and Exposition, Minneapolis, MN, 2022.
  • X. Liu. Implementation of interactive technology tools to improve students’ active learning and engagement in MATLAB programming. Extended Abstract of ASEE conference St. Lawrence section Annual Conference, Syracuse, NY, 2022
  • X. Liu and P.B. Lillehoj. Embroidered electrochemical sensors on gauze for rapid quantification of wound biomarkers. (2017) Biosensor and Bioelectronics, 98: 189-194.
  • X. Liu and P.B. Lillehoj. Embroidered electrochemical sensor for biomolecular detection. (2016) Lab on a Chip, 16:2093-98

Eric M. Lui


  • Ph.D., Purdue University, IN.
  • M.S.C.E., Purdue University, IN.
  • B.S.C.E. (High Honors), University of Wisconsin at Madison, WI.

Research Interests:

  • Steel structures, structural stability
  • Structural dynamics, earthquake engineering
  • Numerical modeling
  • Damage identification and quantification
  • Computer-aided analysis and design of structures

Areas of Expertise:

Dr. Lui’s current research is in the areas of nonlinear behavior and limit states design of steel structures, seismic analysis and performance-based design of structures, effect of nonlinear damping on structures, application of shape memory alloys in earthquake resistant design, passive magnetic negative stiffness dampers, energy dissipative segmented steel plate shear wall, seismic assessment using the endurance time method, damage identification and quantification using system dynamic properties.

Dr. Lui has authored/coauthored numerous journal papers, conference proceedings, special publications and research reports in these areas. He is also a contributing author to a number of engineering monographs and technical handbooks. In addition, he is the author/co-editor of the 2nd edition CRC Handbook of Structural Engineering, and is the co-author/co-editor of four books on the subject of steel design, structural stability, and earthquake engineering. He currently serves as editor-in-chief of two journals and serves on the editorial boards of several other scientific and engineering journals.


  • Bleyer Scholarship, University of Wisconsin (1979)
  • Bates and Rogers Foundation Scholarship, University of Wisconsin (1980)
  • David Ross Fellowship, Purdue University (1982, 1983)
  • Nellie Munsion Award for Outstanding Teaching Assistant, Purdue University (1982)
  • Coauthor of the AISC Higgins Award Paper (1985)
  • Crouse Hinds Award for Excellence in Education, Syracuse University (1997)
  • Nominated for the Munro Prize for Best Paper (2000)
  • ASCE Committee on Student Services Certificate for Exemplary Services (2000)
  • ASCE Faculty Adviser Reward Recipient (2000, 2001, 2002)
  • Letter of Honorable Mention, SU ASCE Student Chapter, Faculty Advisor (2000, 2001)
  • Certificate of Commendation, SU ASCE Student Chapter, Faculty Advisor (1999, 2003, 2005, 2006)
  • Technology Alliance of Central New York (TACNY) College Educator of the Year Award (2007)
  • Named one of two Recipients of the ECS Faculty Excellence Award (2009)
  • Member of Honor Society Tau Beta Pi
  • Member of Honor Society Phi Kappa Phi
  • Member of Honor Society Sigma Xi
  • Member of Honor Society Chi Epsilon

Selected Publications:

Majd, N.S. and Lui, E.M. “Analysis and design of a novel segmented energy absorbing steel plate shear wall system,” Advances in Structural Engineering, 2024, 27(1), 85-104. (DOI: https://doi.org/10.1177/13694332231213454)

Mamaghani, M., and Lui, E.M. “Use of continuous wavelet transform to generate endurance time excitation functions for nonlinear seismic analysis of structures.” CivilEng, 2023, 4(3), 753-781. (DOI: https://doi.org/10.3390/civileng4030043)

Zhou, Y., Shao, H.T., Lui, E.M., Zhong, G. and Li, Z. “Behavior of elliptical buckling restrained braces under cyclic axial load,” Structures, 2023, 48, 331-345. (DOI: https://doi.org/10.1016/j.istruc.2022.12.087)

Zheng, T. and Lui, E.M. “A variable stiffness energy dissipation device for drift control of steel frames,” Advances in Structural Engineering, 2023, 26(1), 183-202. (DOI: https://doi.org/10.1177/13694332221122535)

Tang, W.K. and Lui, E.M. “Analysis and design of a hybrid re-centring energy dissipation device for steel moment frames,” International Journal of Structural Engineering, 2022, 12(3), 209-239. (DOI: https://doi.org/10.1504/IJSTRUCTE.2022.123747)

Wang, Q.W., Liang, L., Lui, E.M., and Shi, Q.X. “Behavior of eccentrically loaded UHPC filled circular steel tubular short columns,” Journal of Constructional Steel Research, 2022, 193, 107282, 16p. (DOI: https://doi.org/10.1016/j.jcsr.2022.107282)

Zhou Y., Shao H.T., Cao Y.S. and Lui, E.M. “Application of buckling-restrained braces to earthquake-resistant design of buildings: A review,” Engineering Structures, 2021, 246(1), 112991, 20p.   (DOI: https://doi.org/10.1016/j.engstruct.2021.112991)

El Masri, O.Y. and Lui, E.M. “Behavior and design of steel delta girders for flexure and shear,” Journal of Structural Engineering, ASCE, 2021, 147(9): 04021141, 13p. (DOI: https://doi.org/10.1061/(ASCE)ST.1943-541X.0003107)

Wang, F. and Lui, E.M. “Experimental investigation of post-fire residual stresses in Q690 welded I-sections,” Thin-walled Structures, 2021, 163: 107631, 14p. (DOI: https://doi.org/10.1016/j.tws.2021.107631)

Ma, H.W., Zheng, H., Zhang, W., Tang, Z.Z. and Lui, E.M. “Experimental and numerical study of mechanical behavior of welded steel plate joints,” Metals, 2020, 10: 1293, 16p. (DOI: https://doi.org/10.3390/met10101293)

Wang, F. and Lui, E.M. “Experimental study of the post-fire mechanical properties of Q690 high strength steel,” Journal of Constructional Steel Research, 2020, 167, Article 105966. https://doi.org/10.1016/j.jcsr.2020.105966.

Liu, W.-X. and Lui, E.M. “Mathematical modeling and parametric study of magnetic negative stiffness dampers,” Advances in Structural Engineering, 2020, 23(8):1702-1714.

Chen, Y.-L., Chen, Z.-P., Xu, J.-J., Lui, E.M., and Wu B. “Performance evaluation of recycled aggregate concrete under multiaxial compression,” Construction and Building Materials, 2019, 229, Article 116935. https://doi.org/10.1016/j.conbuildmat.2019.116935

Ma, H.W., Wang, J.W., Lui, E.M., Wan, Z.Q, and Wang, K. (2019) “Experimental Study of the Behavior of Beam-column Connections with Expanded Beam Flanges,” Steel and Composite Structures, 31(3), 319-327. (DOI: https://doi.org/10.12989/scs.2019.31.3.319)

El Masri, O.Y. and Lui, E.M. (2019) “Influence of Imperfections on the Flexural Resistance of Steel Delta Girders,” Advanced Steel Construction, 15(2), 157-164. (DOI:10.18057/IJASC.2019.15.2.5)

El Masri, O.Y. and Lui, E.M. (2019) “Cross-Section Properties and Elastic Lateral-Torsional Buckling Capacity of Steel Delta Girders,” International Journal of Steel Structures, 19(3), 914-931. (DOI: https://doi.org/10.1007/s13296-018-0175-y)

Wang, Q.W., Shi, Q.X., Lui, E.M., and Xu, Z.D. (2019) “Axial Compressive Behavior of Reactive Powder Concrete-Filled Circular Steel Tube Columns,” Journal of Construction Steel Research, 153, 42-54. (DOI: https://doi.org/10.1016/j.jcsr.2018.09.032)

Wang, X.W, Zhu, B., Cui, S.G., and Lui, EM. (2018) “Experimental Research on PBL Connectors Considering the Effects of Concrete Stress State and Other Connection Parameters,” Journal of Bridge Engineering, ASCE, 23(1), 14p. (DOI: https://doi.org/10.1061/(ASCE)BE.1943-5592.0001158)

Ataei, H., Mamaghani, M., and Lui, E.M. (2017) “Proposed Framework for Performance-Based Seismic Design of Highway Bridges,” ASCE Structures Congress, Denver, Colorado, April 6-8, 2017, 14p.

Yao, Z.L. and Lui, E.M. (2017) “Experimental and Numerical Investigation of the Seismic Performance of an A-frame-truss-column Hybrid Supporting Structure,” Advances in Structural Engineering, 20(9), 1277–1298, (DOI: https://doi.org/10.1177/1369433216674951)

Mezgebo, M. and Lui, E.M. (2017) “A New Methodology for Energy-based Seismic Design of Steel Moment Frames,” Earthquake Engineering and Engineering Vibrations, 16(1), 131-152. (DOI: 10.1007/s11803-017-0373-1)

Mezgebo, M. and Lui, E.M. (2016) “Hysteresis and Soil Site Dependent Input and Hysteretic Energy Spectra for Far-Source Ground Motions,” Advances in Civil Engineering, Volume 2016, Article ID 1548319, 10p. (DOI: http://dx.doi.org/10.1155/2016/1548319)

Liu, W.X and Lui, E.M. (2016) “Negative Stiffness Dampers for Structural Vibration Control,” Access Science, 9p. (DOI: https://doi.org/10.1036/1097-8542.446705)

Wang, F. and Lui, E.M. (2016) “Behavior of High Strength Steels under and after High Temperature Exposure,” Journal of Steel Structures and Construction, 2:2, 10p. (DOI:10.4172/2472-0437.1000123)

Chen, Z.P., Xu, J.J., Chen, Y.L., and Lui, E.M. (2016) “Recycling and Reuse of Construction and Demolition Waste in Concrete-filled Steel Tubes: A Review,” Construction & Building Materials, 126, 641-660. (DOI: https://doi.org/10.1016/j.conbuildmat.2016.09.063)

Woldegebriel, Z.T. and Lui, E.M. (2015) “Long-span hybrid suspension and cable-stayed bridges,” McGraw-Hill Yearbook of Science and Technology, 168-172.

Tang, W. and Lui, E.M. (2014) “Hybrid re-centering energy dissipative device for seismic protection,” Journal of Structures, Volume 2014, Article ID 262409, 17p. (DOI:10.1155/2014/262409)

Singh, R. and Lui, E.M. (2014) “Design of PR frames with top and seat angle connections using the direct analysis method,” Advanced Steel Construction, 10(2), 116-138.

Lui, E.M. and Zhang, X. (2013) “Stability Design of Cross-Bracing Systems for Frames,” Engineering Journal, American Institute of Steel Construction, 3rd Quarter, 50(3), 155-168.

Yang, Y. and Lui, E.M. (2012) “Behavior and design of steel I-beams with inclined stiffeners,” Steel and Composite Structures, 12(3), 183-206.

Oguzmert, M. and Lui, E.M. (2011) “Seismic design of inelastic structures using equivalent linear system parameters: part 1 – derivation and comparison,” The IES Journal Part A: Civil & Structural Engineering, 4(2), 89-102.

Oguzmert, M. and Lui, E.M. (2011) “Seismic design of inelastic structures using equivalent linear system parameters: part 2 – application and verification,” The IES Journal Part A: Civil & Structural Engineering, 4(2), 103-114.

Khanse, A.C. and Lui, E.M. (2010) “Pulse extraction and displacement response evaluation for long-period ground motions,” The IES Journal Part A: Civil & Structural Engineering, 3(4), 211-223.

Ge, M., Lui, E.M., and Khanse, A.C. (2010) “Non-proportional damage identification in steel frames,” Engineering Structures, 32, 523-533.

Zhen Ma


  • Postdoc, University of California, Berkeley
  • Ph.D. Clemson University
  • M.S. Tianjin University
  • B.S. Tianjin University

Areas of Expertise::

  • Stem Cell Engineering Developmental
  • Cardiac tissue engineering and regenerative medicine
  • 3D Organoid Technology

Human induced pluripotent stem cells (hiPSCs) allows the recapitulation of human disease models in vitro, which can be used to both study disease mechanisms and ultimately design and screen personalized therapeutics prior to large animal or clinical trials. My research focuses on developing multi-scale cardiac models through the combination of stem cell biology, micro/nanotechnology and cardiovascular research. These in vitro models help us not only understand a variety of fundamental questions on cardiac physiology and development, but also improve the diagnosis and treatment for human heart diseases.

Honors and Awards:

  • Rising Stars Award of BMES Cellular and Molecular Bioengineering
  • National Science Foundation CAREER Award
  • Lush Prize Young Researcher at Americas, Lush Cosmetics

Selected Publications:

  • Kowalczewski A., Sakolish C.M., Hoang P., Liu X., Jacquir S., Rusyn I., Ma Z. (2022) “Integrating nonlinear analysis and machine learning for human induced pluripotent stem cell-based drug cardiotoxicity testing” Journal of Tissue Engineering and Regenerative Medicine 16(8): 732-743.
  • Shi H., Wu X., Sun S., Wang C., Ash-Shakoor A., Mather P.T., Henderson J.H., Ma Z. (2022) “Profiling the responsiveness of focal adhesions of human cardiomyocytes to extracellular dynamic nano-topography” Bioactive Materials 10: 367-77.
  • Hoang P., Kowalczewski A., Sun S., Winston T.S., Archilla A., Lemus S., Ercan-Sencicek A.G., Gupta A.R., Liu W., Kontaridis M.I., Amack J., Ma Z. (2021) “Engineering spatial-organized cardiac organoids for developmental toxicity testing” Stem Cell Reports 16(5): 1228-1244.
  • Ma Z., Huebsch H., Koo S., Mandegar M.A., Siemons B., Conklin B.R., Grigoropoulos C.P., Healy K.E. (2018) “Contractile deficits in engineered cardiac microtissues as a result of MYBPC3 deficiency and mechanical overload” Nature Biomedical Engineering 2(12): 955–67.

Andrew C. Lee


Ph.D. (U. of Maryland, College Park, 1998); M.A. (U. of Maryland, College Park, 1996); M.A. (U. of Michigan, Ann Arbor, 1988); B.A. (U. of Hong Kong, 1987).

Research Interests:

  • Discrete Mathematics
  • Computability Theory
  • Computational Learning
  • Artificial Intelligence
  • Logic and Formal Methods

Current Research:

I study the role of queries and the associated learning strategies in solving computational problems. For example, the strategies for playing many board games and on-line games often resemble a basic paradigm in machine learning, namely, to learn a target concept via queries. By studying the (winning) strategies in specific concrete games, we may gain insights to determine the right set of queries and related parameters that are of interest in machine learning applications. I am also interested in graph coloring and graph labeling type problems. Many arise quite naturally in the study of social structures and networks. To better understand them it often requires new algorithms and analysis.

As an educator, I am interested in engaging students to do research. In addition, I like to explore new pedagogies to improve students’ reasoning ability, develop their inquisitiveness and strengthen their problem solving skills. Along in this direction I like to cast some of the research problems listed above in elementary settings and make them accessible to undergraduates and beginning graduate students.

Courses Taught:

  • Artificial intelligence
  • Data structures
  • Algorithms
  • Automata and Computability
  • Formal methods

Selected Publications:

Andrew C. Lee, Sin-Min Lee and Ho-Kun Ng, On the balance index set of bi-regular and tri-regular graphs, 78, Journal of Combinatorial Mathematics and Combinatorial Computing, August 2011, pp.169-186.

Man Kong, Andrew C. Lee and Sin-Min Lee, On the Balance Index Sets of Homeomorph of Regular Graphs, Congressus Numerantium, vol. 204, Dec. 2010, pp. 193-203.

Andrew C. Lee and Sin-Min Lee and Hsin-Hao Su, On the balanced indexed set of generalized friendship graphs, envelope graphs of cycles and cubic graphs, Congressus Numerantium, 196 (2009), pp. 3-22.

William I. Gasarch and Andrew C. Lee, Inferring answers to queries, Journal of Computing and Systems Sciences Volume 74, No 4, 2008, 490-512.

Bryan S. Kim


  • Ph.D. in Computer Science and Engineering, Seoul National University
  • M.S. in Electrical Engineering and Computer Science, Seoul National University
  • B.S. in Electrical Engineering and Computer Science, University of California, Berkeley

Areas of Expertise:

  • Flash and non-volatile memory-based systems
  • Data storage systems
  • File systems and key-value stores
  • Next-generation storage architecture and hardware

I am broadly interested in computer systems and particularly focused on data storage systems. Current research directions include, but are not limited to, capacity-variant storage systems, self-learning systems, and next-generation key-value storage.

Recent Publications:

  • Hyeongyu Lee, Juwon Lee, Minwook Kim, Donghwa Shin, Sungjin Lee, Bryan S. Kim, Eunji Lee, and Sang Lyul Min. “SpartanSSD: a Reliable SSD under Capacitance Constraints,” in ACM/IEEE International Symposium on Low Power Electronics and Design, 2021
  • Jinhyung Koo, Junsu Im, Jooyoung Song, Juhyung Park, Eunji Lee, Bryan S. Kim, and Sungjin Lee. “Modernizing File System through In-Storage Indexing,” in USENIX Symposium on Operating Systems Design and Implementation, 2021
  • Jeseong Yeon, Leeju Kim, Youil Han, Hyeon Gyu Lee, Eunji Lee, and Bryan S. Kim. “JellyFish: A Fast Skip List with MVCC,” in ACM/IFIP International Middleware Conference, 2020
  • Youil Han, Bryan S. Kim, Jeseong Yeon, Sungjin Lee, and Eunji Lee. “TeksDB: Weaving Data Structures for a High-Performance Key-Value Stores,” in International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2019
  • Bryan S. Kim, Eunji Lee, Sungjin Lee, Sang Lyul Min. “CPR for SSDs,” in ACM SIGOPS Workshop on Hot Topics in Operating Systems (HotOS), 2019
  • Bryan S. Kim, Jongmoo Choi, and Sang Lyul Min. “Design Tradeoffs for SSD Reliability,” in USENIX Conference on File and Storage Technologies (FAST), 2019
  • Geonhee Lee, Hyeon Gyu Lee, Juwon Lee, Bryan S. Kim and Sang Lyul Min. “An Empirical Study on NVM-based Block I/O Caches,” in ACM SIGOPS Asia-Pacific Workshop on Systems (APSys), 2018
  • Bryan S. Kim, Hyun Suk Yang, and Sang Lyul Min. “AutoSSD: an Autonomic SSD Architecture,” in USENIX Annual Technical Conference (ATC), 2018
  • Bryan S. Kim. “Utilitarian Performance Isolation in Shared SSDs,” in USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage), 2018
  • Bryan S. Kim, Yonggun Lee, and Sang Lyul Min. “Framework for Efficient and Flexible Scheduling of Flash Memory Operations,” in IEEE Non-Volatile Memory Systems and Applications (NVMSA), 2017
  • Bryan S. Kim and Sang Lyul Min. “QoS-aware Flash Memory Controller,” in IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), 2017

Garrett Ethan Katz


  • B.A. Philosophy, Cornell University, 2007
  • M.A. Mathematics, City College of New York, 2011
  • Ph.D. Computer Science, University of Maryland, College Park, 2017

Areas of Expertise:

  • Automated Planning
  • Automated Program Induction and Synthesis
  • Robotic Manipulation
  • Neural Computation

Current Research:

My research focuses on “vertically integrated” artificial intelligence, ranging from low-level robotic motor control and synaptic learning rules to high-level planning and abstract reasoning.  My recent work has focused on neurocomputational systems for cognitive-level robotic imitation learning.

Honors and Awards:

  • Best Paper Award at the SAI Computing Conference, 2020
  • Larry S. Davis Doctoral Dissertation Award, UMD, 2018
  • Best Student Paper Award at the 9th International Conference on Artificial General Intelligence 2016

Selected Publications:

  • Katz GE, Tahir N.  Towards Automated Discovery of God-Like Folk Algorithms for Rubik’s Cube.  In 2022 AAAI Conference on Artificial Intelligence.  AAAI.
  • Katz GE, Akshay, Davis GP, Gentili RJ, Reggia JA. Tunable Neural Encoding of a Symbolic Robotic Manipulation Algorithm. Frontiers in Neurorobotics. 2021:167.
  • Tahir N, Katz GE. Numerical Exploration of Training Loss Level-Sets in Deep Neural Networks. In 2021 International Joint Conference on Neural Networks (IJCNN) 2021 (pp. 1-8). IEEE.
  • Katz GE, Gupta K, Reggia JA. Reinforcement-based Program Induction in a Neural Virtual Machine. In 2020 International Joint Conference on Neural Networks (IJCNN) 2020 (pp. 1-8). IEEE.

Chris E. Johnson


  • Ph.D. (Geology), University of Pennsylvania, 1989
  • M.A. (Statistics), University of Pennsylvania, 1988
  • B.S.E. (Civil and Urban Engineering), University of Pennsylvania, 1983

Lab/Center Affiliation(s):

  • Center for Environmental Systems Engineering (CESE)

Areas of Expertise:

  • Soil chemistry
  • Biogeochemical processes in terrestrial ecosystems
  • Chemistry of natural organic matter
  • Trace metals in the environment

Professor Johnson is involved in a number of research projects in the broad area of environmental chemistry. He has ongoing research interests in the fate of trace metals (Pb, Zn, Cu, Ni) in forest soils and landscapes; the effects of clear-cut logging on soils and drainage waters; and the changing acid-base chemistry of soils historically affected by acid rain. His principal research sites are located in the Catskills and Adirondack regions of New York, as well as the White Mountains of New Hampshire.

Johnson is also actively involved in research on the chemistry of natural organic matter, which plays an important role in soil fertility, trace metal transport, and the acid-base status of soils and natural waters. He is particularly interested in the characterization of organic matter using advanced analytical tools such as nuclear magnetic resonance spectroscopy, liquid chromatography, and capillary electrophoresis. He is an Adjunct Professor at Griffith University in Brisbane, Australia, where he conducts research on soil chemistry in plantation forests in Southeastern Queensland.

Honors and Awards:

  • Phi Beta Kappa
  • Tau Beta Pi
  • Fulbright Scholar, Czech Republic, 1994
  • Excellence in Graduate Education, Faculty Excellence Award, 2012

Selected Publications:

Valipour, M., C.E. Johnson, J.J. Battles, J.T. Campbell, T. J. Fahey, H. Fakhraei, and C.T. Driscoll. 2021. Simulation of the effects of forest harvesting under changing climate to inform long-term sustainable forest management using a biogeochemical model. Science of the Total Environment. 767:144881.

Wieder, W.R., D. Pierson, S. Earl, and 27 others. 2021. SoDaH: the SOils DAta Harmonization database, an open-source synthesis of soil data from research networks, version 1.0. Earth System Science Data. 13:1843-1854.

Nieman, S.C. and C.E. Johnson. 2021. Net geochemical release of basic cations from 25 forested watersheds in the Catskills region of New York. Frontiers in Forests and Global Change. 4:667605.

Hamburg, S.P., M.A. Vadeboncoeur, C.E. Johnson, J. Atlee, and J. Sanderman. 2019. Losses of mineral soil carbon largely offset biomass accumulation 15 years after whole-tree harvest in a northern hardwood forest. Biogeochemistry. 144:1-14.

Gu, W., C.E. Johnson, C.T. Driscoll and S. Shao. 2017. Aluminum is more tightly bound in soil after wollastonite treatment to a forest watershed. Forest Ecology and Management. 397:57-66.

Clymans, W., D.J. Conley, J.J. Battles, P.J. Frings, M.M. Koppers, G.E. Likens, and C.E. Johnson. 2016. Silica uptake and release in live and decaying biomass in a northern hardwood forest. Ecology. 97:3044-3057.

Leys, B., G.E. Likens, C.E. Johnson, J.M. Craine, B. Lacroix, and K.K. McLauchlan. 2016. Natural and anthropogenic drivers of calcium depletion in a northern forest during the last millennium. Proceedings of the National Academy of Sciences. 113:6934-6938.

Shao, S., C.T. Driscoll, C.E. Johnson, T.J. Fahey, J.J. Battles, and J.D. Blum. 2016. Long-term responses in soil solution and streamwater chemistry at Hubbard Brook after experimental addition of wollastonite. Environmental Chemistry. 13:528-540.

Li, W. and C.E. Johnson. 2016. Relationships among pH, aluminum solubility and aluminum complexation with organic matter in acid forest soils of the northeastern United States. Geoderma. 271:234-242.

Gianfagna, C.C., C.E. Johnson, and D.G. Chandler. 2015. Watershed area ratio accurately predicts daily streamflow in nested catchments in the Catskills, New York. Journal of Hydrology: Regional Studies 4:583-594.

Balaria, A., C.E. Johnson, P.M. Groffman, and M.C. Fisk. 2015. Effects of calcium treatment on the composition of forest floor organic matter in a northern hardwood stand. Biogeochemistry. 122:313-326.

Johnson, C.E., T.G. Siccama, E.G. Denny, M.M. Koppers, and D.J. Vogt. 2014. In situ decomposition of northern hardwood boles: Decay rates and nutrient dynamics in wood and bark. Canadian Journal of Forest Research 44:1515-1524.

Johnson, C.E., C.T. Driscoll, J.D. Blum, T.J. Fahey, and J.J. Battles. 2014. Soil chemical dynamics after calcium silicate addition to a northern hardwood forest. Soil Science Society of America Journal. 78:1458-1468.

Dib, A.E., C.E. Johnson, C.T. Driscoll, T.J. Fahey, and K. Hayhoe. 2014. Simulating effects of changing climate and CO2 emissions on soil carbon pools at the Hubbard Brook Experimental Forest. Global Change Biology. 20:1645-1656.

Johnson, C.E. 2013. Chemical properties of upland forest soils in the Catskills region. Annals of the New York Academy of Sciences. 1298:30-42.

Johnson, C.E., T.J. Blumfield, S. Boyd, and Z. Xu. 2013. A 13C NMR study of decomposing logging residues in an Australian hoop pine plantation. Journal of Soils and Sediments. 13:854-862.

Era Jain


  • Research Scientist, Washington University in Saint Louis
  • Postdoctoral Fellow and Instructor, Saint Louis University
  • Postdoctoral Associate, Virginia Tech


  • Ph.D., Indian Institute of Technology Kanpur, India, 2011
  • Bachelor’s in Pharmacy, India, 2004

Lab/Center Affiliation:

  • Syracuse BioInspired Institute

Areas of Expertise:

  • Targeted and programed drug delivery for macrophages
  • Injectable and biodegradable hydrogels and scaffolds
  • Musculoskeletal tissue engineering
  • Drug Delivery

Inflammation is a primary component of all diseases including several musculoskeletal disorders such as arthritis. The Jain Lab research focuses on engineering immunomodulatory biomaterials for advancing treatment of musculoskeletal disorders and related inflammatory disorders. We are particularly interested in design of macrophage targeting and programed drug delivery systems for spatially and temporally controlled biomolecule release to regulate inflammation. We employ a combination of in vitro models and pre-clinical animal models to evaluate the translational potential of these novel delivery systems.

Honors and Awards

  • 2021 Discovery Award (DoD)
  • 2018 Travel Award for Best Poster, Musculoskeletal Research Center, Winter Symposium, Washington University in Saint Louis 
  • 2017 Best Undergraduate Poster Award to a mentee at STLAURUS 2017
  • 2004-2010 Graduate Research Scholarship, Department of Biotechnology (DBT), India
  • 2008 Travel grant for attending from Council of Scientific and Industrial Research (CSIR), India.

Selected Publications:

  • I.M. Berke, E. Jain, B.Yavuz, T. McGrath, L. Jing, M. Silva, G. Mbalaviele, F. Guilak, D. Kaplan, L.A. Setton. NF-κB-mediated effects on behavior and cartilage pathology in a non-invasive loading model of post-traumatic osteoarthritis, Osteoarthritis and Cartilage (2021), 29, 248-256.
  • E. Jain, S. Neal, H.Graf, X. Tan, R. Balasubramaniam, and N.Huebsch Copper-Free Azide–Alkyne Cycloaddition for Peptide Modification of Alginate Hydrogels ACS Applied Bio Materials (2021) 4 (2), 1229-1237.
  • X, Tan, E. Jain, M.N. Barcellona, E. Morris, S. Neal, M.C. Gupta, J.M. Buchowski, M. Kelly, L.A. Setton, N. Huebsch: Integrin and syndecan peptide-conjugated alginate hydrogel for modulation of nucleus pulposus cell phenotype. Biomaterials. 2021.
  • E. Jain, N.Chinzei, A. Blanco, N. Case, L. J. Sandell, S. Sell, M. F.Rai, S. P. Zustiak, Sustained release of platelet-rich plasma from polyethylene glycol hydrogels exerts beneficial effects on chondrocytes, J. Orthop. res. (https://doi.org/10.1002/jor.24404)
  • E. Jain, A.S. Qayyum, G. Kolar, Y. Kim, S.A. Sell, S.P. Zustiak, Design of electrohydrodynamic sprayed polyethylene glycol hydrogel microspheres for cell encapsulation, Biofabrication 9 (2017) 025019.
  • E. Jain, S. Sheth, A. Dunn, S.P. Zustiak, S.A. Sell, Sustained release of multicomponent platelet-rich plasma proteins from hydrolytically degradable PEG hydrogels, J Biomed Mater Res A 105 (2017) 3304-3314.
  • E. Jain, L. Hill, E. Canning, S.A. Sell, S.P. Zustiak, Control of gelation, degradation and physical properties of polyethylene glycol hydrogels through the chemical and physical identity of the crosslinker, J Mater Chem B 5 (2017) 2679-2691.
  • S.G. Priya, A. Gupta, E. Jain, J. Sarkar, A. Damania, P.R. Jagdale, B.P. Chaudhari, K.C. Gupta, A. Kumar, Bilayer Cryogel Wound Dressing and Skin Regeneration Grafts for the Treatment of Acute Skin Wounds, ACS Appl Mater Inter 8 (2016) 15145-15159.

Can Isik


  • Ph.D. University of Florida, Gainesville, FL, 1985.
  • M.S. Middle East Technical University, Ankara, Turkey, 1980.
  • B.S. Middle East Technical University, Ankara, Turkey, 1978.

Lab/Center Affiliation(s):

  • Syracuse Center of Excellence
  • CASE Center

Research Interests:

  • Intelligent systems applications
  • Indoor environment control
  • Modeling and forecasting for financial systems
  • Medical Instrumentation

Current Research:

Modeling complex systems for improved control, forecasting, and signal processing is at the heart of my current research. I use a combination of analytical and computational methods, such as neural nets, fuzzy logic and genetic algorithms, validated by experimental and simulated data. We have applied this approach to process control, indoor environmental control, medical instrumentation, diagnostics and prognostics, and computational finance.

Courses Taught:

  • Controls


  • Eta Kappa Nu, Member
  • Tau Beta Pi, Member
  • Golden Key, Honorary Member
  • Who is Who in Science and Engineering, 9th Edition, 2006
  • Outstanding Undergraduate Teacher, Eta Kappa Nu Syracuse University Chapter, 1998
  • K.S. Fu Award, North American Fuzzy Information Processing Society, 1997
  • Outstanding Service Award, Syracuse University, College of ECS, 1997
  • Who is Who in American Education, 4th Edition, 1994
  • University of Florida, Presidential Recognition, 1983

Selected Publications:

Dhummi, V., D. W. Demetriou, H. Palanthandalam-Madapusi, H. E. Khalifa, C. Isik, “Robust Occupancy-based Distributed Demand Ventilation”, International J. of Ventilation, Volume 9, No 4, March 2011.

Colak, S., C. Işık, H. E. Khalifa, J. Dannenhoffer, J. Grunewald, “Heat and Moisture Transport Modeling for a Protective Garment with an Active Sweating Device”, in ASME Congress, Vancouver, Canada, 2010.

Demetriou, D., O. Ozdemir, H. E. Khalifa and C. Isik, “Distributed Demand Controlled Ventilation for Improving IAQ”, Proc. Indoor Air 2008, Copenhagen, Denmark, 2008.

Sazli, M.H., Isik, C., “Neural Network Implementation of the BCJR Algorithm”, Digital Signal Processing, Volume 17, January 2007, pp 353-359.

Ari, S., I. Cosden, H. E. Khalifa, J. Dannenhoffer, P. Wilcoxen, and C. Isik, “Individual Thermal Comfort and Energy Optimization”, Proc. Clima2007, Helsinki, Finland, 2007.

S. Zhang, C.K. Mohan, P. Varshney, C. Isik, K. Mehrotra, S. Wang, Z. Gao, and R. Rajagopalan, “Coupling of Airflow and Pollutant Dispersion Models with Evacuation Planning Algorithms for Building System Controls”, ASHRAE Transactions. Vol. 112. Part 1. 2006.

Isik, C., “Blood Pressure Measurement”, invited chapter, the Encyclopedia of Medical Devices and Instrumentation, 2nd Ed, Vol 1. John G. Webster (Ed), Wiley, 2006.

Ian D. Hosein


  • B. A. Sc., Engineering Science, University of Toronto, 2004
  • Ph.D., Materials Science and Engineering, Cornell University, 2009

Areas of Expertise:

  • Energy Conversion and Storage
  • Advanced Composites
  • Functional Surfaces
  • Optical Materials and Devices
  • Bioinspired Materials

Professor Hosein combines materials processing techniques with smart polymer chemistry and novel inorganic chemistry to create materials with tailored structure, composition and advanced optical, electronic, and chemical functionality. His work spans the spectrum from fundamental formation mechanisms to materials fabrication to application-driven research and development.  Current applications target solar energy conversion, electro-chemical energy storage, chemical separation, and smart coatings. 

Honors and Awards:

  • NSF Career Award, 2018
  • 3M Non-Tenured Faculty Award, 2019
  • The Association for UV & EB Technology, Innovation Award, 2020

Selected Publications:

Endadul Hoque


  • Ph.D., Computer Science, Purdue University, 2015
  • M.S., Computer Science, Marquette University, 2010
  • B.S., Computer Science and Engineering, Bangladesh University of Engineering and Technology, 2008

Research interests:

  • Security of computer networks and systems
  • IoT systems security
  • Program analysis, software testing and verification
  • Vulnerability detection

Current Research:

His research focuses on the security of computer networks and systems. The software of computer networks and systems continues to have exploitable vulnerabilities, which are lucrative targets for adversaries. Within this broad domain, his particular emphasis is on automated detection of vulnerabilities as well as creating resilient protocols and systems. His research primarily builds on and expands program analysis, software engineering, and formal verification. His interests span several domains of computing, including network communication protocols, operating systems, distributed systems, internet-of-things (IoT) systems and embedded devices.


  • Distinguished Paper Award at NDSS (Network and Distributed System Security Symposium) 2018
  • Bilsland Dissertation Fellowship Award from the Graduate School at Purdue University, 2015
  • Graduate Teaching Fellowship Award from Dept. of Computer Science at Purdue University, 2014

Recent Publications:

  1. Yahyazadeh, P. Podder, E. Hoque, and O. Chowdhury. Expat: Expectation-based Policy Analysis and Enforcement for Appified Smart-Home Platforms. In the proceedings of the 24th ACM Symposium on Access Control Models and Technologies (SACMAT 2019), Toronto, ON, Canada, June 2019
  2. Samuel Jero, Endadul Hoque, David Choffnes, Alan Mislove, and Cristina Nita-Rotaru. Automated Attack Discovery in TCP Congestion Control Using a Model-guided Approach. In the proceedings of Network and Distributed System Security Symposium (NDSS), San Diego, California, Feb 2018. [Distinguished Paper Award]
  3. Endadul Hoque, Omar Chowdhury, Sze Yiu Chau, Cristina Nita-Rotaru, and Ninghui Li. Analyzing Operational Behavior of Stateful Protocol Implementations for Detecting Semantic Bugs. In the Proceedings of IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Denver, CO, June 2017.
  4. Sze Yiu Chau, Omar Chowdhury, Endadul Hoque, Huangyi Ge, Aniket Kate, Cristina Nita-Rotaru, and Ninghui Li. SymCerts: Practical Symbolic Execution For Exposing Noncompliance in X.509 Certificate Validation Implementations. In the Proceedings of IEEE Symposium on Security and Privacy (S&P), San Jose, CA. May 2017.

James H. Henderson


  • 2004 Ph.D. Mechanical Engineering Stanford University
  • 2001 M.S. Mechanical Engineering Stanford University
  • 1999 B.S. Mechanical Engineering Rice University, Summa Cum Laude

Lab/Center Affiliation(s):

  • BioInspired Institute

Areas of Expertise:

  • Cell biomechanics and mechanobiology, cell and molecular biology, mechanics, imaging, and computational tools.
  • Functional shape-memory materials to enable innovative strategies to study and control mechanobiological and biomechanical aspects of cell and tissue function and repair.
  • Long-timescale, accurate, and efficient tracking and computational analysis of cells and subcellular structures in complex in vitro environments.

James (Jay) Henderson, PhD, is an Associate Professor of Biomedical and Chemical Engineering and the Associate Director of BioInspired Syracuse: The Institute for Material and Living Systems at Syracuse University. His training in Mechanical Engineering was performed at Rice University (BS) and at Stanford University (MS, PhD), where he was a dual Hertz Foundation/Burt and Deedee McMurtry Stanford Graduate Fellow. He performed postdoctoral training in the departments of Biology and Orthopaedics at Case Western Reserve University as an Arthritis Foundation Postdoctoral Fellow. At Syracuse University, the Henderson lab focuses on the study and application of mechanobiology with an emphasis on the development of enabling cytocompatibility and biocompatible shape-memory polymer platforms. Dr. Henderson is a faculty member of the Syracuse Biomaterials Innovation Facility and of the SUNY Upstate Medical University Cancer Research Institute and holds an adjunct position in the Syracuse University department of Biology.

Honors and Awards:

  • 2017 Excellence in Graduate Education Faculty Excellence Award, Syracuse University
  • 2016  James K. Duah-Agyeman Faculty Award, Center for Graduate Preparation and Achievement, Syracuse University
  • 2012 Defense Advanced Research Projects Agency (DARPA) Young Faculty Award
  • 2010 College of Engineering and Computer Science Faculty Excellence Award
  • 2007 New Investigator Recognition Award (NIRA), 6th Combined Meeting of the Orthopaedic Research Societies
  • 2006–2008 Arthritis Foundation Postdoctoral Fellow
  • 2005 Aspiring Investigator Award, 5th Annual Meeting of the Midwestern Tissue Engineering Consortium

Selected Publications:

Chen J, Hamilton, LE, Mather PT, and Henderson JH. Cell-responsive shape memory polymers. ACS Biomaterials Science & Engineering. In press. Selected to be featured as an ACS Editors’ Choice. https://doi.org/10.1021/acsbiomaterials.2c00405

Pieri KG, Felix BM, Zhang T, Soman P, and Henderson JH. Printing parameters affect key properties of 4D printed shape memory polymers. 3D Printing and Additive Manufacturing. http://doi.org/10.1089/3dp.2021.0072 In press.

Narkar AR, Tong Z, Soman P (co-corresponding author), and Henderson JH. Smart biomaterial platforms: controlling and being controlled by cells. Biomaterials, 283: 121450, 2022. https://doi.org/10.1016/j.biomaterials.2022.121450

Brasch ME, Passucci G, Guldavy A, Turner CE, Manning ML, and Henderson JH. Nuclear position relative to the Golgi body and nuclear orientation are differentially responsive indicators of cell polarized motility. PLoS One, 14 (2), e0211408, 2019. Selected by the editors to be highlighted on the journal homepage. https://doi.org/10.1371/journal.pone.0211408

Buffington SL, Ali MM, Paul JE, Macios MM, Mather PT, and Henderson JH. Enzymatically triggered shape memory polymers. Acta Biomaterialia, 84, 88–97, 2019. https://doi.org/10.1016/j.actbio.2018.11.031

Wang J, Quach A, Brasch ME, Turner CE, and Henderson JH. On-command on/off switching of progenitor cell and cancer cell polarized motility and aligned morphology via a cytocompatible shape memory polymer scaffold. Biomaterials, 140, 150-61, 2017. https://doi.org/10.1016/j.biomaterials.2017.06.016

Tseng L, Wang J, Baker RM, Wang G, Mather PT, and Henderson JH. Osteogenic capacity of human adipose-derived stem cells is preserved following triggering of shape memory scaffolds. Tissue Engineering Part A. August, 22(15-16), 1026-1035, 2016. https://doi.org/10.1089/ten.tea.2016.0095

Baker RM, Tseng L, Iannolo MT, Oest ME, and Henderson JH. Self-deploying shape memory polymer scaffolds for grafting and stabilizing complex bone defects: A mouse femoral segmental defect study. Biomaterials, 76, 388-98, 2016. https://doi.org/10.1016/j.biomaterials.2015.10.064

Baker RM, Brasch ME, Manning ML, and Henderson JH. Automated, contour-based tracking and analysis of cell behaviour over long timescales in environments of varying complexity and cell density. Journal of the Royal Society Interface, 11(97), 20140386, 2014. https://doi.org/10.1098/rsif.2014.0386 Program download at: http://henderson.syr.edu/downloads/

Tseng L, Mather PT, and Henderson JH. Shape-memory actuated change in scaffold fiber alignment directs stem cell morphology. Acta Biomaterialia, 9, 8790-8801, 2013. https://doi.org/10.1016/j.actbio.2013.06.043

Davis KA, Burke KA, Mather PT, and Henderson JH. Dynamic cell behavior on shape memory polymer substrates. Biomaterials, 32, 2285–2293, 2011. https://doi.org/10.1016/J.Biomaterials.2010.12.006

M. Cenk Gursoy


  • Ph.D. , Princeton University, 2004.
  • B.S., Bogazici University, Istanbul, Turkey, 1999.

Lab/ Center/ Institute Affiliations:

Director, Wireless Communication and Networking Lab.

Senior Research Associate and Core Faculty Member, Autonomous Systems Policy Institute

Areas of Expertise:

Wireless Networking

Signal Processing

Communication/Information Theory

Machine Learning

Decision Making Theory


Unmanned Systems

Dr. Gursoy has broad research expertise in the general areas of wireless communications and networking, signal processing, information theory, optimization, and machine learning. In particular, he has conducted research in detection and estimation, hypothesis testing, anomaly detection, optimal resource allocation, wireless performance evaluation, cognitive radio networks, dynamic spectrum access, energy efficiency analysis, multiple-antenna communication, millimeter wave communications, low-latency communications, physical-layer security, radio access networks, scheduling, edge computing, content caching, and 4G/5G/beyond-5G wireless network design. His expertise in information theory includes the analysis of wireless channel capacity and optimal signaling and coding schemes. He further has expertise in machine learning through the design, implementation and application of deep learning, reinforcement learning, and federated learning algorithms. Moreover, he has studied sequential optimization and decision-making in highly dynamic scenarios (involving autonomous and unmanned systems), and security and privacy in distributed learning.

Honors and Awards:

  • 2020 IEEE Region 1 Technological Innovation (Academic) Award
  • 2019 The 38th AIAA/IEEE Digital Avionics Systems Conference Best of Session    Award.
  • 2017 IEEE Green Communications & Computing Technical Committee Best Journal Paper Award.
  • 2017 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) Best Paper Award
  • 2008 EURASIP Journal of Wireless Communications and Networking Best Paper Award
  • NSF CAREER Award

Selected Publications:

Selected Publications:

  • X. Wang and M. C. Gursoy, “Resilient Path Planning for UAVs in Data Collection Under Adversarial Attacks,” in IEEE Transactions on Information Forensics and Security, vol. 18, pp. 2766-2779, 2023.
  • M. Guo and M. C. Gursoy, “Joint Activity Detection and Channel Estimation for Intelligent-Reflecting-Surface-Assisted Wireless IoT Networks,” in IEEE Internet of Things Journal, vol. 10, no. 12, pp. 10207-10221, June, 2023.
  • Y. Zhu, X. Yuan, Y. Hu, T. Wang, M. C. Gursoy and A. Schmeink, “Low-Latency Hybrid NOMA-TDMA: QoS-Driven Design Framework,” in IEEE Transactions on Wireless Communications, vol. 22, no. 5, pp. 3006-3021, May 2023.
  • Y. Zhu, Y. Hu, X. Yuan, M. C. Gursoy, H. V. Poor and A. Schmeink, “Joint Convexity of Error Probability in Blocklength and Transmit Power in the Finite Blocklength Regime,” in IEEE Transactions on Wireless Communications, vol. 22, no. 4, pp. 2409-2423, April 2023.
  • Y. Shi, Y. E. Sagduyu, T. Erpek and M. C. Gursoy, “How to Attack and Defend NextG Radio Access Network Slicing with Reinforcement Learning,” IEEE Open Journal of Vehicular Technology, vol. 4, pp. 181-192, 2023.
  • D. Deng, X. Li, S. Dang, M. C. Gursoy and A. Nallanathan, “Covert Communications in Intelligent Reflecting Surface-Assisted Two-Way Relaying Networks,” IEEE Transactions on Vehicular Technology, vol. 71, no. 11, pp. 12380-12385, Nov. 2022
  • X. Wang, M. C. Gursoy, T. Erpek, and Y. E. Sagduyu, “Learning-Based UAV Path Planning for Data Collection with Integrated Collision Avoidance,” IEEE Internet of Things Journal, vol. 9, no. 17, pp. 16663-16676, Sep. 2022.
  • X. Wang and M. C. Gursoy, “Learning-Based UAV Trajectory Optimization with Collision Avoidance and Connectivity Constraints,” IEEE Transactions on Wireless Communications, vol. 21, no. 6, pp. 4350-4363, Jun. 2022.
  • Z. Lu, C. Zhong, and M. C. Gursoy, “Dynamic Channel Access and Power Control in Wireless Interference Networks via Multi-Agent Deep Reinforcement Learning,” IEEE Transactions on Vehicular Technology, vol. 71, no. 2, pp. 1588-1601, Feb. 2022.
  • Z. Xu, J. Tang, C. Yin, Y. Wang, G. Xue, J. Wang, M. C. Gursoy, “ReCARL: Resource Allocation in Cloud RANs with Deep Reinforcement Learning,” EEE Transactions on Mobile Computing, vol. 21, no. 7, pp. 2533-2545, Jul. 2022
  • M. Guo and M. C. Gursoy, “Joint Activity Detection and Channel Estimation in Cell-Free Massive MIMO Networks with Massive Connectivity,” IEEE Transactions on Communications, vol. 70, no. 1, pp. 317-331, Jan. 2022.
  • H. Huang, D. Qiao and M. C. Gursoy, “Age-Energy Tradeoff Optimization for Packet Delivery in Fading Channels,” IEEE Transactions on Wireless Communications, vol. 21, no. 1, pp. 179-190, Jan. 2022.
  • F. Wang, C. Zhong, M. C. Gursoy, and S. Velipasalar, “Resilient Dynamic Channel Access via Robust Deep Reinforcement Learning,” IEEE Access, vol. 9, pp. 163188-163203, 2021.
  • P. Sinha, I. Guvenc, and M. C. Gursoy, “Fundamental Limits on Detection of UAVs by Existing Terrestrial RF Networks,” IEEE Open Journal of the Communications Society, vol. 2, pp. 2111-2130, 2021
  • X. Wang and M. C. Gursoy, “Uplink Coverage in Heterogeneous mmWave Cellular Networks with Clustered Users,” IEEE Access, vol. 9, 2021.
  • M. Guo and M. C. Gursoy, “Statistical Learning Based Joint Antenna Selection and User Scheduling for Single-Cell Massive MIMO Systems,” IEEE Transactions on Green Communications and Networking, vol. 5, no. 1, pp. 471-483, March 2021

Jennifer W. Graham

Electromagnetic, complex media, antenna design and modeling


  • B.S.E.E Syracuse University, 2000
  • M.S.E.E. Syracuse University, 2004
  • Ph.D. Syracuse University, 2012

Current Research:

My current research includes understanding the behavior of electromagnetic waves in complex media specifically anisotropic media. I have studied biaxially anistropic media with the most depth including wave propagation and reflection and transmission.

I also have research interest in antennas including antenna modeling and measurement. I have combined research areas by modeling microstrip antennas printed on biaxially anisotropic substrates.

Courses taught:

  • ECS 101:  Introduction to Engineering and Computer Science
  • ELE 331:  Digital Circuits and Systems
  • ELE 333:  Analog Circuits
  • ELE 621:  Electromagnetic Fields
  • ELE 623:  Microwave Measurements
  • ELE 722:  Microwave Filters
  • ELE 726:  Computational Methods of Field Theory

Selected Publications:

J.W. Graham, J.K. and Lee, “Electromagnetic Waves in Biaxially Anisotropic Media,” Wiley Encyclopedia of Electrical and Electronics Engineering. 1–15 2015.

J.W. Graham and J. K. Lee, “Reflection and Transmission from Biaxially Anisotropic-Isotropic Interfaces,” Progress in Electromagnetic Research, PIER 136, 681-702, 2013.

J.W. Graham and J. K. Lee, “Rectangular Patch Antennas on Biaxial Substrates,” IEEE International Symposium on Antennas and Propagation, Orlando, FL July 2013.

J.W. Graham and J. K. Lee, “Microstrip Dipoles Printed on Biaxial Substrates,” IEEE International Symposium on Antennas and Propagation, Chicago, IL July 2012.

J.W. Graham and J. K. Lee, “Reflection and Transmission at Isotropic-Biaxial Interface,” URSI General Assembly and Scientific Symposium, Istanbul, Turkey, August 2011.

J.W. Graham, G. F. Pettis, and J. K. Lee, “Symmetrical Property of Dyadic Green’s Functions for Layered Anisotropic Medium,” IEEE International Symposium on Antennas and Propagation/URSI National Radio Science Meeting, Toronto Ontario, Canada, July 2010.

Nadeem Ghani

Areas of Expertise:

Human Vision and Psychophysics


Human Factors

Software Engineering and Design

Multi-disciplinary approaches to problems like GUI design and visualizations. Biology inspired computing.

Prasanta K. Ghosh


  • Ph. D. Pennsylvania State University

Research Interests:

  • Smart grid
  • Sensors and measurement
  • High speed electronic devices and integrated circuits
  • Power engineering
  • Power electronics

Current Research:

I am actively developing several research projects in the area of Smart Grid systems, including Distributed Resources, EVs, Microgrid Design and Analysis. Other projects include the design and analysis of FinFET, as well as the development of Thin Film Sensors.

Courses Taught:

  • Electronics devices
  • Circuits
  • Power engineering
  • Diversity and ethics in the workplace

Selected Publications:

Nikkhah Mojdehi, P. Ghosh, and M. Fardad, “Energy and Cost Minimization of Bidirectional Frequency Regulation Service by EV following FERC Order 755,” IEEE Power and Energy Society General Meeting, 2015.

Mohammad Nikkhah Mojdehi and Prasanta Ghosh, “Minimization of Energy Usage and Cost for EV during Reactive Power Service”, Best Student Paper, IEEE International conference on Smart Energy Grid Engineering, 2015.

Chenrui Jin, Xiang Sheng and Prasanta Ghosh, “Optimized Electric Vehicle Charging with Intermittent Renewable Energy Sources”, IEEE Journal of Selected Topics in Signal Processing, Vol. 8, No. 6, pp 1063-1072, 2014.

Chenrui Jin, Jian Tang, Prasanta Ghosh, “Optimizing Electric Vehicle Charging with Energy Storage in the Electricity Market,” IEEE Transactions on Smart Grid, vol.4, no.1, pp311-320, 2013.

Feng and P. Ghosh, “Design Consideration in the Development of Multi-Fin FETs for RF Applications” World Journal of Nano Science and Engineering, 2012.

Venkata S.S. Gandikota


  • Ph.D. Computer Science – Purdue University
  • MS Computer Science – Purdue University
  • MSc Mathematics – Birla Institute of Technology and Science, Goa, India
  • B.E. Computer Science – Birla Institute of Technology and Science, Goa, India

Areas of Expertise:

  • Coding Theory & Lattices
  • Sparse Recovery
  • Sublinear algorithms
  • Foundations of Machine Learning

Venkata’s research focuses on the algorithmic aspects of computing with structured data and their applications in various domains such as communication, data storage, health care, and collaborative learning. His research mainly aims to identify an underlying structure in the data that can be leveraged to design efficient algorithms for certain computational tasks. When the data is devoid of any favorable structure, we aim to embed one to facilitate computations. In the process, we use tools and develop techniques from several areas of mathematics and computer science like optimization, coding theory, high-dimensional geometry, the geometry of numbers, sublinear-time algorithms, and differential privacy.

Honors and Awards:

  • SOURCE 2022 — Research Assistant Grant to support undergraduate student involvement in research.
  • CUSE Seed Grant 2021.

Selected Publications:

Zhenyu Gan

Areas of Expertise:

  • Robotics
  • Legged Locomotion
  • Gait analysis
  • Multibody Dynamics
  • Control

My research interests lie at the intersection of robotics and nonlinear dynamics. I study mechanical systems with interesting dynamical behavior and apply the resulting findings to the control of robots. Examples of this include the study of different gaits in legged robots, as well as wearable robotic devices.

Honors and Awards:

  • The First Prize in Design, Engineering Graduate Symposium Award (2013)
  • The First Prize in National Advanced Graphical Skills and Innovations Contest (2010)
  • National Scholarship, China (2009)

Selected Publications:

  • Ding J, Moore TY, Gan Z. A Template Model Explains Jerboa Gait Transitions Across a Broad Range of Speeds. Front Bioeng Biotechnol. 2022 Apr 27;10:804826. doi: 10.3389/fbioe.2022.804826. PMID: 35600899; PMCID: PMC9121427.
  • Gan Z, Yesilevskiy Y, Zaytsev P, Remy C. All common bipedal gaits emerge from a single passive model. Journal of The Royal Society Interface. 2018 September 26; 15(146):20180455-. Available from: https://royalsocietypublishing.org/doi/10.1098/rsif.2018.0455 DOI: 10.1098/rsif.2018.0455
  • Gan Z, Jiao Z, Remy C. On the Dynamic Similarity Between Bipeds and Quadrupeds: A Case Study on Bounding. IEEE Robotics and Automation Letters. 2018 October; 3(4):3614-3621. Available from: https://ieeexplore.ieee.org/document/8410025/ DOI: 10.1109/LRA.2018.2854923
  • Gan Z, Remy C. A passive dynamic quadruped that moves in a large variety of gaits. 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014); ; Chicago, IL, USA. IEEE; c2014. Available from: http://ieeexplore.ieee.org/document/6943255/ DOI: 10.1109/IROS.2014.6943255
  • Gan Z, Wiestner T, Weishaupt M, Waldern N, David Remy C. Passive Dynamics Explain Quadrupedal Walking, Trotting, and Tölting. Journal of Computational and Nonlinear Dynamics. 2016 March 01; 11(2):-. Available from: https://asmedigitalcollection.asme.org/computationalnonlinear/article/doi/10.1115/1.4030622/472865/Passive-Dynamics-Explain-Quadrupedal-Walking DOI: 10.1115/1.4030622

Makan Fardad


  • BSc in Electrical Engineering, Sharif University of Technology, Iran, 1998.
  • MSc in Control Engineering, Iran University of Science and Technology, 2000
  • PhD in Mechanical Engineering, University of California, Santa Barbara, 2006

Areas of Expertise:

  • Convex optimization
  • Complex networks
  • Dynamical systems
  • Control theory

Makan Fardad has expertise in convex optimization and its applications in the areas of distributed control, signal processing, and social networks.


  • Dean’s Award for Excellence in Engineering Education, 2015.
  • Recipient of 3 National Science Foundation Awards, 2009, 2013, 2015.

Selected Publications:

Fardad, F. Lin, and M. R. Jovanovic, “Design of Optimal Sparse Interconnection Graphs for Synchronization of Oscillator Networks,” IEEE Transactions on Automatic Control, vol. 59, pp. 2457-2462, 2014.

Lin, M. Fardad, and M. R. Jovanovic, “Algorithms for Leader Selection in Stochastically Forced Consensus Networks,” IEEE Transactions on Automatic Control, vol. 59, pp. 1789-1802, 2014.

Lin, M. Fardad, and M. R. Jovanovic, “Design of Optimal Sparse Feedback Gains via the Alternating Direction Method of Multipliers,” IEEE Transactions on Automatic Control, vol. 58, pp. 2426-2431, 2013.

Lin, M. Fardad, and M. R. Jovanovic, “Optimal Control of Vehicular Formations with Nearest Neighbor Interactions,” IEEE Transactions on Automatic Control, vol. 57, pp. 2203-2218, 2012.

Fardad and M. R. Jovanovic, “Design of Optimal Controllers for Spatially Invariant Systems with Finite Communication Speed,” Automatica, vol. 47, pp. 880-889, 2011.

Sara Eftekharnejad


  • Ph.D., Electrical Engineering, Arizona State University, 2012
  • MSc. , Electrical Engineering, West Virginia University, 2008
  • BSc., Electrical Engineering, University of Tehran, 2006

Research Interests:

  • Integration of renewable energy into power systems
  • Power system stability and control
  • Power system reliability and security
  • Phasor Measurement Units (PMU) in smart grids

Current Research:

My research focuses on integration of renewable energy resources and power system stability with high penetration of renewables. I investigate how power systems are impacted when various renewables are integrated into systems. I also investigate how power system operation and planning needs to be modified to accommodate more renewables while achieving reliable power systems.

I also investigate the problems at the intersection of network science theory and power system analysis. This includes identification of critical contingencies and solutions to prevent cascading blackouts.

Courses taught:

  • Introduction to Power Systems
  • Power System Analysis
  • Power Electronics

Selected Publications:

Eftekharnejad, G.T. Heydt, and V. Vittal., “Optimal Generation Dispatch with High Penetration of Photovoltaic Generation”, IEEE Transactions on Sustainable Energy, Vol 6, Issue 3, pages 1013-1020, July 2015.

Eftekharnejad, V. Vittal, G.T. Heydt, B. Keel, and J. Loehr, “Impact of Increased Penetration of Photovoltaic Generation on Power Systems”, IEEE Transactions on Power Systems, Vol. 28, Issue 2, pages 893 – 901, May 2013.

Eftekharnejad, V. Vittal, G.T. Heydt, B. Keel, and J. Loehr, “Small Signal Stability Assessment of Power Systems with Increased Penetration of Photovoltaic Generation: A Case Study”, IEEE Transactions on Sustainable Energy, Vol. 4, Issue 4, pages 960 – 967, October 2013.

Ehat Ercanli


  • Ph.D. Computer Engineering, Case Western Reserve University

Research Interests:

  • Computer Architecture
  • Embedded System Design
  • System Verification
  • VLSI Design Automation

Areas of Expertise:

  • Embedded System Design
  • Computer Architecture
  • Database Systems
  • Design Automation
  • System Verification and Testing

Selected Publications:

  • Improving Memory Space Utilization in Multi-core Embedded Systems using Task Recomputation. Koc H, Tosun S, Kandemir M, and Ercanli E, International Journal of Computer Science and Network, Volume 1, Issue 5, pp. 27-34, Oct 2012.
  • Exploiting Large On-Chip Memory Space Through Data Recomputation, Koc H, Kandemir M, Ercanli E. In Proceedings of the 23rd IEEE International SoC Conference (SOCC 2010), pp. 513-518, Las Vegas, NV, Sept 2010.
  • An ILP Formulation for Recomputation Based SPM Management for Embedded CMPs. Koc H, Ercanli E, Kandemir M, Ozturk O; In Proceedings of the 5th Workshop on Optimizations for DSP and Embedded Systems (ODES’07). San Jose, CA. Mar 2007.
  • Reducing Off-Chip Memory Access Costs Using Data Recomputation in Embedded Chip Multi-processors. Koc H, Kandemir M, Ercanli E, Ozturk O; In Proceedings of the 44th Design Automation Conference (DAC’07). San Diego, CA. June 2007. (Ranked #3 in Most Popular Papers Category from ACM Digital Library’s Refereed Journals and Conference Proceedings Downloaded in September 2007).
  • Compiler-Directed Temporary Array Elimination. Koc H, Ercanli E, Kandemir M, Son SW. The 4th Workshop on Optimizations for DSP and Embedded Systems. NY. Feb 2006.
  • Minimizing Energy Consumption of Banked Memories Using Data Recomputation. Koc H, Ozturk O, Kandemir M, Narayanan S, Ercanli E. In Proceedings of Intl Symposium on Low Power Electronics and Design (ISLPED’06). Tegernsee, Germany. Oct 2006.
  • Automated Code Generation For Database Applications. Ercanli E, Ozgencil N, Kahraman MG. The 14th Intl Conference on Intelligent and Adaptive Systems and Software Engineering (ISCA’05). Toronto, Canada, June 2005.
  • A Register File and Scheduling Model for Application Specific Processor Synthesis. Ercanli E, Papachristou C. The 33rd IEEE/ACM Design Automation Conference (DAC’96), Las Vegas, NV, June 1996.
  • A Research Database For Improved Data Management And Analysis In Longitudinal Studies. Bielefeld R, Yamashita T, Kerekes E, Ercanli E, Singer L.  M.D. Computing. Vol. 12. NO. 3. 1995.
  • Custom Processor Design for Image Processing Applications. Ercanli E, Papachristou C. The 10th International Symposium on Computer and Information Sciences (ISCIS’95). Sept 1995.

Victor Duenas


  • Ph.D., 2018, University of Florida

Areas of Expertise:

  • Nonlinear and Adaptive Control
  • Rehabilitation Robotics
  • Powered Exoskeletons
  • Functional Electrical Stimulation (FES)

Areas of expertise include design, analysis, and implementation of intelligent closed-loop control methods for physical human-robot interaction. Research interests involve an integration of powered lower-limb exoskeletons, motorized cycling, functional electrical stimulation (FES), wearable devices, and neuromuscular control.

Honors and Awards:

  • 2019 IEEE Control Systems Technology Award
  • MAE Department Best Dissertation Award 2018, University of Florida
  • 2016 Vodovnik Best Student Paper Award, Third Place International Conference of Electrical Stimulation Society

Selected Publications:

  • C. Chang, J. Casas, A. Sanyal, and V. H. Duenas, “Motorized FES-Cycling and Closed-Loop Nonlinear Control for Power Tracking using a Finite-Time Stable Torque Algorithm,” Front. Control Eng., Vol. 3, Article 910126,August 2022, doi: 10.3389/fcteg.2022.910126.
  • C. Chang, J. Casas, S. Brose, and V. H. Duenas, “Closed-loop Torque and Kinematic Control of a Hybrid Lower-limb Exoskeleton for Treadmill Walking,” Front. Robot. AI, Vol. 8, Article 702860, January 2022, doi: 10.3389/frobt.2021.702860.
  • C. Cousin, V. H. Duenas, and W. E. Dixon, “FES Cycling and Closed-Loop Feedback Control for Rehabilitative Human-Robot Interaction,” Robotics, Vol. 10, No. 61, 2021, doi.org/10.3390/robotics10020061.
  • V. H. Duenas, C. Cousin, V. Ghanbari, E. J. Fox, and W. E. Dixon, “Torque and Cadence Tracking in Functional Electrical Stimulation Induced Cycling using Passivity-Based Spatial Repetitive Learning Control,” Automatica, Vol. 115, May 2020, DOI:10.1016/j.automatica.2020.108852.

Bing Dong


  • Ph.D. in Building Performance and Diagnostics, Carnegie Mellon University
  • M.S. in Building Science, National University of Singapore
  • B.E. in Electrical and Mechanical Engineering, Nanjing University of Technology

Lab/Center Affiliations:

  • Built Environment Science and Technology (BEST) Lab
  • Syracuse Center of Excellence in Energy and Environmental Systems

Research interests:

  • Modeling occupant behavior in buildings
  • Intelligent building operation
  • Fault detection and diagnostics
  • Buildings-to-grid integration
  • Grid-interactive Efficient Buildings
  • Urban mobility
  • Urban building energy modeling
  • Modeling and optimization of urban energy system
  • Human performance

Current Research:

Prof. Dong’s current research goal is to explore how smart buildings play an active role in urban scale cyber-physical energy system considering human behavior, renewable energy, energy storage, smart grid, health and resilience through physics-based modeling, optimization and controls, heterogeneous sensing and data-driven models. Current major research topics are: (1) Human-Building-Interactions including Detecting, Modeling and Simulating Occupant Behavior in Buildings and Behavior-driven Control and Optimization for Energy Systems and (2) System-level Modeling, Optimization and Control for Urban Built Environment including Buildings-to-Grid Integration Control and Optimization Framework, Modeling of Occupancy Behavior at a Community Level and Connect with other Urban Infrastructures and Community energy planning and management.

Major ongoing research projects are (1) NSF CAREER: Holistic Assessment of the Impacts of Connected Buildings and People on Community Energy Planning and Management, (2) Department of Energy – Argonne National Lab: Spatial-temporal data-driven weather and energy forecasting for improved implementation of advanced building controls, and (3) ARPA-E: Quantification of HVAC Energy Savings for Occupancy Sensing in Buildings through An Innovative Testing Methodology.

Teaching Interests:

  • HVAC design
  • Building performance modeling and diagnostics

Honors and Awards:

  • 2019 NSF CAREER Award
  • 2018 IBPSA-USA Emerging Contributor Award
  • 2017 Innovator of the Year, The University of Texas at San Antonio
  • 2017 Faculty Research Award, The University of Texas at San Antonio
  • 2017 Distinguished Service Award for IEA EBC Annex 66 Project
  • 2010 Isabel Sophia Liceaga Discretionary Fund Faculty Award, Carnegie Mellon University
  • 2009 Akram Midani Award, Carnegie Mellon University

Select Publications:

Dong, B., Liu, Y., Fontenot, H., Ouf, M., Osman, M., Chong, A., Qin, S., Salim, F., Xue, H., Yan, D. and Jin, Y., 2021. Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A review. Applied Energy, 293, p.116856.

Pang, Z., Chen, Y., Zhang, J., O’Neill, Z., Cheng, H. and Dong, B., 2021. How much HVAC energy could be saved from the occupant-centric smart home thermostat: A nationwide simulation study. Applied Energy283, p.116251.

Pang, Z., Chen, Y., Zhang, J., O’Neill, Z., Cheng, H. and Dong, B., 2020. Nationwide HVAC energy-saving potential quantification for office buildings with occupant-centric controls in various climates. Applied Energy279, p.115727.

Wu, W., Dong, B., Wang, Q.R., Kong, M., Yan, D., An, J. and Liu, Y., 2020. A novel mobility-based approach to derive urban-scale building occupant profiles and analyze impacts on building energy consumption. Applied Energy278, p.115656.

O’Brien, W., Wagner, A., Schweiker, M., Mahdavi, A., Day, J., Kjærgaard, M.B., Carlucci, S., Dong, B., Tahmasebi, F., Yan, D. and Hong, T., 2020. Introducing IEA EBC Annex 79: Key challenges and opportunities in the field of occupant-centric building design and operation. Building and Environment178, p.106738.

Wagner, A., O’Brien, W. and Dong, B. eds., 2018. Exploring Occupant Behavior in Buildings: Methods and Challenges. Springer.

Dong, B., Yan, D. Li, Z.*,Jin, Y., Feng, X.H., Fontenot, H. 2018. Modeling occupancy and behavior for better building design and operation—A critical review. In Building Simulation (in Press). Springer Berlin Heidelberg. (IF: 1.170)-Invited Paper: 10 Years Anniversary.

Dong, B., Li, Z.*, Taha, A. and Gatsis, N., 2018. Occupancy-based buildings-to-grid integration framework for smart and connected communities. Applied Energy, 219, pp.123-137.(IF: 7.182)

Charles T. Driscoll


  • Ph.D., Environmental Engineering, Cornell University, 1980.
  • M.S., Environmental Engineering, Cornell University, 1976.
  • B.S. (with distinction), Civil Engineering, University of Maine 1974.

Lab/Center Affiliation:

  • Center for Environmental Systems Engineering

Research Interests:

  • Aquatic chemistry
  • Biogeochemistry
  • Climate change science and engineering
  • Environmental quality modeling
  • Ecosystem restoration
  • Ecosystem science
  • Limnology
  • Soil chemistry

Current Research:

My scholarly work addresses the effects of disturbance on forest, urban, freshwater and marine ecosystems, including air pollution (acid and mercury deposition), land-use, and climate change. Current research focuses on recovery of eastern forest watersheds from acidic deposition; health and environmental justice co-benefits of decarbonization of the electricity sector; ecosystem restoration; ecosystem response to changing climate; mitigation of harmful algal blooms; and atmospheric deposition, watershed and surface water transport and transformations, and biotic exposure of mercury. The Driscoll laboratory has published more than 520 articles in peer-reviewed journals.  According to Google Scholar, these works have been cited over 53,000 times, with an h-index of 115. I have been designated as a highly cited researcher by Clarivate Analytics. I am a member of the National Academy of Engineering, a fellow of the American Association for the Advancement of Science and Clarke Prize Laureate.

To advance the “broader impacts” of research, I try to serve society through participation in various national and international committees and panels; advising federal and state agencies; working with natural resource managers and policy makers; briefing Congress and state officials; and informing the media and the public on the results of research and environmental policy issues. I am particularly interested in multidisciplinary activities, and synthesis and translation of scientific and engineering research. These activities inform my research. Finally, I am interested in improving and advancing science communication. I want science and engineering information to be accessible to the public and policy-makers to help guide cost-effective decisions on natural resource management.

Courses Taught:

  • Aquatic Chemistry
  • Climate Change: Law, Science, Perception and Policy
  • Field methods in Environmental Science and Engineering
  • Fundamentals of Engineering Review

I teach undergraduate and graduate-level classes in environmental engineering, sustainable civil and environmental systems, aquatic chemistry and biogeochemistry.  Graduate students, undergraduate students and even some high school students who work in my laboratory. These students have a keen interest in research. They are encouraged to interpret their results in the context of environmental problems and issues, to interact with the research community beyond Syracuse University, present the findings of their research at professional meetings and publish in peer-reviewed journals.


  • Clarke Prize Laureate, 2023
  • Syracuse University Chancellor’s Lifetime Achievement Award, 2020.
  • Lead author, United Nations Environmental Programme, Intergovernmental Panel on Biodiversity and Ecosystem Services report on Land Degradation and Restoration Assessment, 2016-2018.
  • Fellow, American Association for the Advancement of Science 2018.
  • New Horizons, Lecture Clarkson University 2016
  • Batsheva de Rothschild Fellowship, Israel Academy of Sciences and Humanities, Lectureship at Israel University, 2015
  • Adirondack Research Consortium, Adirondack Achievement Award, 2012
  • Member, National Research Council, Board of Environmental Studies and Toxicology, 2011-2017
  • Member, S. National Committee for Soil Science, The National Academies, 2008-2010
  • Member, National Academy of Engineering, 2007

Selected Publications:

Brannon, M., A. C\A. Scholz, C. T. Driscoll. 2023. Shallow sediments as a phosphorus reservoir in an oligotrophic lake: Linkages to harmful algal blooms. Journal of Geophysical Research-Biogeosciences, 128:e2022JG007029. doi:10.1029/2022JG007029.

Caron, S., S. M. Garvey, J. Gewirtzman, K. Schultz, J. M. Bhatnagar, C. T. Driscoll, L. Hutyra, P. H. Templer. 2023. Urbanization and fragmentation have opposite effects on soil nitrogen availability in temperate forest ecosystems. Global Change Biology, 29:2156-2171. doi:10.1111/gcb.16611.

Contosta, A., J. Battles,J. L. Campbell, C. T. Driscoll, S. Garlick, R. T. Holmes, G. Likens, N. Rodenhouse, S. Rogers, P. Templer, M. Vadeboncoeur and P. Groffman. 2023. Early warning signals of change suggest declining resilience in the biology and biogeochemistry of a northern hardwood forest. Environmental Research Letters. (in press)

E. B., S. Zhang, C. T. Driscoll and T. Wen. 2023. Human and natural impacts on the U.S. freshwater salinization and alkalinization: A machine learning perspective. Science of the Total Environment, 889:164138. doi:10.1016/j.scitotenv.2023.164138.

Gilliam, F., D. A. Burns, S. Watmough, S. Frey and C. T. Driscoll. 2023. Chapter 12 in Atmospheric nitrogen deposition to global forests spatial variation, impacts, and management implications. E. Du and W. Vries (Ed.). Academic Press, ISBN: 9780323911405.

McDonnell, T. C., J. Phelan, A. F. Talhelm, B. J. Cosby, C. T. Driscoll, T. J. Sullivan and T. Greaver. 2023. Protection of terrestrial ecosystems in the Eastern United States from elevated atmospheric deposition of sulfur and nitrogen: A comparison of steady-state and dynamic model results. Environmental Pollution, 318,120887. doi:10.1016/j.envpol.2022.120887.

Ontman, R., P. Groffman, C. T. Driscoll and Z. Cheng. 2023. Surprising relationships between soil pH and microbial biomass and activity in a northern hardwood forest. Biogeochemistry, 163:265-277. doi:10.1007/s10533-023-01031-0.

Berdugo Moreno, M. B., M. Dovciak and C. T. Driscoll. 2022. The roles of the moss layer in mediating tree seedling environmental stress, mercury exposure, and regeneration in high-elevation conifer forests. American Journal of Ecosystems. doi: 10.1007/s10021-022-00806-0.

Campbell, J. L., E. Boose, C. T.  Driscoll, H. A. Dugan, P. M. Groffman, C. Rhett Jackson, J. B. Jones, J. A. Jones, G. P. Juday, N. R. Lottig, B. E. Penaluna, R. W.  Ruess, K. Suding, J. R Thompson and J. K. Zimmerman. 2022. Forests and freshwater ecosystem responses to climate change and variability at US LTER sites. BioScience, 72(9): 851-870. doi:10.1093/biosci/biab124.

Driscoll, C. T. 2022. Acid and mercury deposition effects on forest and freshwater aquatic ecosystems. Pages 1-14 in S. A. Levin, editor. Encyclopedia of Biodiversity, third edition. Elsevier Inc., Waltham, MA: Academic Press. doi:10.1016/B978-0-12-384719-5.00303-8.

Hinckley, E. and C. T. Driscoll. 2022. Fertilizer applications replace atmospheric deposition to supply sulfur to Midwest croplands. Nature Communications Earth and Environment, 3(324). doi:10.1038/s43247-022-00662-9.

Huang, H., W. Wu, K. J. Elliott, C. F. Miniat and C. T. Driscoll. 2022. Impact of climate change on hydrochemical processes at two high-elevation forested watersheds in the southern Appalachians, U.S., Frontiers in Forests and Global Change. doi:10.3389/ffgc.2022.853729.

Jones, J. A. and C. T. Driscoll. 2022. Long-term ecological research and ecosystem response to climate change. BioScience,72(9):814-826. doi:10.1093/biosci/biac021

Gerson, J. R., W. Pann,  N. Szpona, B. Bergquist, E. Broadbent, C. T. Driscoll, L. Fernandez, H. Hsu-Kim, W. Pan, M. Silman, E. Ury, C. Vega, A. Almeyda Zambrano and E. S. Bernhardt. 2022. Amazon forests capture high levels of atmospheric mercury pollution from artisanal gold mining. Nature Communications, 13:559. doi:10.1038/s41467-022-27997-3.

Olson, C. I., B. M. Geyman, C. P. Thackray, D. P. Krabbenhoft, M. T. Tate, E. M. Sunderland and C. T. Driscoll. 2022. Mercury in soils of the conterminous United States: Patterns and pools. Environmental Research Letters, 17:1-9. doi: 0.1088/1748-9326/ac79c2.

Pavlovic, N. R., S.Y. Chang, J. Huang, K. Craig, C. Clark, K. Horn and C. T. Driscoll. 2022. Empirical nitrogen and sulfur critical loads of U.S. tree species and their uncertainties with machine learning. Science of the Total Environment,  857: 159252. doi:10.1016/j.scitotenv.2022.159252.

Vasilakos. P., H. Shen, Q. Mehdi, P. Wilcoxen, C. T. Driscoll, K. F. Lambert, D. Burtraw, M. Domeshek, A. G. Russell. 2022. US clean energy futures – air quality benefits of zero carbon energy policies. Atmosphere, 13(9):1401- 1411. doi:10.3390/atmos13091401

Wasswa, J., C. T. Driscoll and T. Zeng. 2022. Contrasting impacts of photochemical and microbial processing on the photoreactivity of dissolved organic matter in an Adirondack lake watershed. Environmental Science & Technology, 56(3):1688-1701doi: 10.1021/acs.est.1c06047

Driscoll, C. T., K. F. Lambert, D. Burtraw, J. J. Buonocore, S. B. Reid, and H. Fakhraei. 2015 online. US power plant carbon standards and clean air and health co-benefits. Nature Climate Change 5:535-540.

Fakhraei, H., C. T. Driscoll, P. Selvendiran, J. V. DePinto, J. Bloomfield, S. Quinn, and C. Rowell. 2014. Development of a total maximum daily load (TMDL) for acid-impaired lakes in the Adirondack region of New York. Atmospheric Environment 95:277-287.

Battles, J. J., T. J. Fahey, C. T. Driscoll, J. D. Blum, and C. E. Johnson. 2014. Restoring soil calcium reverses forest decline. Environmental Science & Technology Letters 1:15-19. Driscoll, C. T., R. P. Mason, H. M. Chan, D. J. Jacob, and N. Pirrone. 2013. Mercury as a global pollutant: Sources, pathways, and effects. Environmental Science & Technology 47:4967-4983.

John F. Dannenhoffer III


  • Sc.D., Computational Fluid Dynamics, Massachusetts Institute of Technology, 1987;
  • M.E., Aerospace Engineering, Rensselaer Polytechnic Institute, 1978;
  • B.S., Aerospace Engineering, Rensselaer Polytechnic Institute, 1976

Lab/Center Affiliation(s):

  • Aerospace Computational Methods Lab (ACML)

Areas of Expertise:

  • Multi-disciplinary Analysis and Optimization (MDAO)
  • Computational Geometry (CG)
  • Computational Fluid Dynamics (CFD)
  • Aerospace vehicle analysis and design

Dr. John Dannenhoffer is the principal author of the Engineering Sketch Pad (ESP), which is a computer-based system for the optimal design and analysis of complex configurations, such as aerospace vehicles.  ESP is a feature-based solid modeler that generates the fully-associative models needed for multi-fidelity and multi-disciplinary design and analysis.  A key feature of the ESP are that it is the first CAD-like system that directly provides the sensitivities needed for gradient-based optimization.  The ESP, which is available as an open-source projects, is in routine use by over a thousand users, in dozens of organizations.

Honors and Awards:

  • Syracuse University ECS Dean’s Award for Excellence in Engineering Education “in recognition of his creative use of active and engaging techniques in the classroom, development of teaching tools, and his unwavering commitment to the undergraduate program in Aerospace Engineering.” April 2016.
  • AIAA Shahyar Pirzadeh Memorial Award for Outstanding Paper in Meshing Visualization and Computational Environments for “Design Sensitivity Calculations Directly on CADBased Geometry”, 2015.
  • AIAA Shahyar Pirzadeh Memorial Award for Outstanding Paper in Meshing Visualization and Computational Environments for “Conservative Fitting for Multi-Disciplinary Analysis”, 2014.

Selected Publications:

  • Mokotoff, P.R., and Dannenhoffer, J.F., “GLOVES: A Graphical Layout of Vehicle Systems for the Engineering Sketch Pad”, AIAA-2022-3493, presented at the AIAA Aviation Meeting, June, 2022.
  • Dannenhoffer, J.F., “Parallelization Strategies for Efficiently Computing CFD-based Sensitivities for Design Optimization”, AIAA-2022-0971, presented at the 2022 AIAA SciTech Forum, January 2022.
  • Dannenhoffer, J.F., and Bhagat, N., “Towards Modeling for Design: Using Real-time Collaborative Environment in CAPS”, AIAA-2022-2248, presented at the 2022 AIAA SciTech Forum, January 2022.
  • Bryson, D.E., Haimes, R., and Dannenhoffer, J.F., “Toward the Realization of a Highly Integrated, Multidisciplinary, Multifidelity Design Environment”, AIAA-2019-2225, presented at AIAA SciTech 2019, January 2019.
  • Blum, M.M., and Dannenhoffer, J.F., “Integrated use of programming in Machine Design Course”, presented at the 124th ASEE Annual Conference & Exposition, June 2017.
  • Dannenhoffer, J.F., “The Creation of a Static BRep Model Given a Cloud of Points”, AIAA-2017-0138, presented at the AIAA SciTech 2017, January 2017.
  • Dannenhoffer, J.F., and Haimes, R., “Using Design-Parameter Sensitivities in Adjoint-Based Design Environments”, AIAA-2017-0139, presented at the AIAA SciTech 2017, January 2017.
  • Dannenhoffer, J.F, and Green, M.A., “Use of a Full-motion Flight Simulator for Teaching Aircraft Performance and Dynamics”, AIAA-2017-0299, presented at the AIAA SciTech 2017, January 2017.
  • Alyanak, E., Durscher, R., Haimes, R., Dannenhoffer, J.F., Bhagat, N, and Allison, D., “Multi-fidelity Geometry-centric Multi-disciplinary Analysis for Design”, AIAA-2016-4007, presented at AIAA Aviation 2016, June 2016.
  • Dannenhoffer, J.F., and Haimes, R., “Design Sensitivity Calculations Directly on CAD-based Geometry”, AIAA-2015-1370, presented at AIAA SciTech 2015, January 2015.
  • Dannenhoffer, J.F., and Haimes, R., “Conservative Fitting for Multi-Disciplinary Analysis”, AIAA-2014-0294, presented at AIAA SciTech 2014, January 2014.
  • Haimes, R., and Dannenhoffer, J.F., “The Engineering Sketch Pad: A Solid-Modeling, Feature-Based, Web-Enabled System for Building Parametric Geometry”, AIAA-2013-3073, presented at the 21st AIAA Computational Fluid Dynamic Conference, June 2013.

Cliff I. Davidson


  • Ph.D., Environmental Engineering Science, California Institute of Technology, 1977.
  • M.S., Environmental Engineering Science, California Institute of Technology, 1973.
  • B.S., Electrical Engineering, Carnegie Mellon University, 1972.

Lab/Center Affiliation(s):

  • Center of Excellence in Environmental and Energy Systems
  • Director, Center for Sustainable Engineering

Research Interests:

  • Environmental transport and fate of pollutants
  • Sources of airborne particles in urban and remote areas
  • Measurement and modeling of atmospheric dry and wet deposition of pollutants
  • Emission inventories for airborne lead
  • Emission inventories for airborne ammonia
  • Human perceptions of energy use from day-to-day activities
  • Assessment of performance of green infrastructure for stormwater management
  • Sustainable development in urban areas
  • Use of field measurements to promote STEM education

Current Research:

Davidson is currently studying the rapid changes in development of green infrastructure (GI) for stormwater management taking place in US urban areas. Examples of GI include green roofs, green walls, constructed wetlands, street trees, rain gardens, expansion of urban green space, and permeable pavement. One project involves the role of political, economic, and social factors that have enabled GI to be adopted at increasing rates in recent years. This project is examining the reasons why several US metro regions including Syracuse have accepted green infrastructure wholeheartedly, while other urban areas have decided against the use of GI, opting for conventional gray infrastructure such as holding tanks, larger pipes, and expanded treatment plants. A second project is examining the performance of GI projects in Syracuse, currently focusing on the Convention Center Green Roof. This project involves measuring the incoming precipitation, water storage in the growth medium and plants on the roof, rates of evaporation and evapotranspiration from the roof, and water flows in the drain pipes running from the roof into the combined sewer system. A third project is examining chemical contaminants in stormwater runoff, identifying the sources of those contaminants, and studying their eventual fate.

Courses Taught:

  • CEE 562 Air Resources I
  • ECS 650 Managing Sustainability: Purpose, Principles, and Practices
  • CEE 463/663 Introduction to Sustainable Engineering
  • Professional development workshops for faculty around the country on developing sustainability content for engineering courses


  • Fellow, Association of Environmental Engineering and Science Professors, elected 2015
  • Fellow, American Association for Aerosol Research, elected 2008
  • United Methodist University Scholar-Teacher Award, Syracuse University 2014
  • William H. and Frances M. Ryan Award for Meritorious Teaching, Carnegie Mellon University, 2009.
  • 2009 Outstanding Paper Award, Literati Network Awards for Excellence, Emerald Group Publishing, for a paper in the International Journal of Sustainability in Higher Education that appeared in 2008.
  • Phillip Dowd Fellowship, College of Engineering, CMU, 2007.
  • Outstanding Educator Award, Association of Environmental Engineering and Science Professors, 2007.
  • Charles Beyer Distinguished Lecturer, Civil and Environmental Engineering, University of Houston, 2006.
  • American Association for Aerosol Research, Service Award for serving as Co-Chair of the International Conference “Particulate Matter: Atmospheric Sciences, Exposure, and the Fourth Colloquium on PM and Human Health,” Pittsburgh, PA, April 1-4, 2003.
  • Jubilee Chair Professorship, Chalmers University, Gothenburg, Sweden, 1997-98.
  • Parsons ES/AEEP Award for serving as thesis advisor to the recipient of the 23rd Annual Doctoral Thesis Award, Parsons Engineering Science and Association of Environmental Engineering Professors, 1996.
  • Benjamin Richard Teare Award for Excellence in Engineering Education, Carnegie Mellon University, 1992.
  • Outstanding Professor of the Year Award, American Society of Civil Engineers, Pittsburgh Section, 1989.
  • Ralph R. Teetor Award given to young engineering educators with less than five years experience, Society of Automotive Engineers, 1982.
  • George Tallman Ladd Award for Outstanding Research, Carnegie Mellon University, 1980.
  • First Annual Lincoln T. Work Award, Fine Particle Society, August 1976.
  • Chosen by Carnegie Mellon University as the CMU nominee for “Outstanding Electrical Engineering Student in the U.S., 1972″, Sponsored by Eta Kappa Nu.

Select Publications:

Squier-Babcock, Mallory and Cliff I. Davidson, Hydrologic performance of an extensive green roof in Syracuse, NY, Water, Vol. 12, Number 6, https://doi.org/10.3390/w12061535, May 28, 2020.

Johnson, Alexander J. and Cliff I. Davidson, Measuring atmospheric dry deposition with large surrogate surfaces for improved time resolution, Atmospheric Environment, Vol. 198, Number 1, pages 489-495, https://doi.org/10.1016/j.atmosenv.2018.10.055, Feb. 2019.

Markolf, Samuel A., Mikhail V. Chester, Daniel A. Eisenberg, David M. Iwaniec, Benjamin L. Ruddell, Cliff I. Davidson, Rae Zimmerman, Thaddeus R. Miller, and Heejun Chang, Interdependent Infrastructure as Linked Social, Ecological, and Technological Systems (SETS) to Address Lock-In and Enhance Resilience, Earth’s Future, Vol. 6, Issue 12, pages 1638-1659, http://dx.doi.org/10.1029/2018EF000926, December 2018.

Rosenzweig, Bernice R., Lauren McPhillips, Heejun Chang, Chingwen Cheng, Claire Welty, Marissa Matsler, David Iwaniec, and Cliff I. Davidson, Pluvial Flood Risk and Opportunities for Resilience, Wiley Interdisciplinary Reviews: Water, Vol. 5, Issue 6, http://dx.doi.org/10.1002/wat2.1302, July 2018.

Flynn, Carli D., Cliff I. Davidson, and Sharon Dotger, Development and psychometric testing of the Rate and Accumulation Concept Inventory, Journal of Engineering Education, Vol. 107, Issue 3, https://dx.doi.org/10.1002/jee.20226, September 29, 2018.

Davidson, C.I., Brad R. Allenby, Liv M. Haselbach, Miriam Heller, and William E. Kelly, Educational materials on sustainable engineering: do we need a repository? Elementa, February 23, 2016, DOI10.12952/journal.elementa.000089.

Viktor J. Cybulskis


  • Postdoctoral, Chemical Engineering, California Institute of Technology, 2016-2018
  • Ph.D., Chemical Engineering, Purdue University, 2016
  • B.S., Chemical Engineering, Purdue University, 2005


  • CEN 412: Chemical Engineering Laboratory II
  • CEN 474: Process Design
  • CEN 429/629: Methods in Materials Characterization

Areas of Expertise:

  • Heterogeneous Catalysis
  • Kinetics and Reaction Mechanisms
  • Synthetic Materials Chemistry
  • Zeolites and Molecular Sieves

The Cybulskis lab focuses on understanding the molecular details of heterogeneously catalyzed reactions and designing reactive micro-environments to enable pathways for selective chemical transformations that safeguard our ecosystem from harmful emissions and pollutants. We are primarily interested in zeolites and molecular sieves. The well-defined, molecular-sized pores and cavities in these structures can be tailored with distinct catalytic sites and confining voids, allowing them to function as tunable nanoreactors.

Our experimental research approach combines materials synthesis, catalyst characterization, fundamental reaction kinetics, and mechanistic studies to fundamentally understand how the physicochemical properties of porous inorganic solids govern their intrinsic catalytic performance for applications in chemical manufacturing and emissions control. Current research topics include:

  • Carbon-carbon coupling of oxygenated molecules by cooperative acid-base sites in zeolites
  • Tandem catalytic pathways for direct epoxidation of alkenes
  • Methane abatement through low-temperature catalytic oxidation

Selected Publications

He, W.; Potts, D.S.; Zhang, Z.; Liu, B.; Schuarca, R.L.; Hwang, S-J.; Bond, J.Q.; Flaherty, D.W.; Cybulskis, V.J.; “Lewis acidity and substituent effects influence aldehyde enolization and C-C coupling in beta zeolites.” Journal of Catalysis. 2023, 427, 115105-115118.

Roslova, M.; Cybulskis, V.J.; Davis, M.E.; Zones, S.I.; Zou, X.; Xie, D. “Structure Elucidation and Computationally Guided Synthesis of SSZ-43: A One-Dimensional 12-Membered Ring Zeolite with Unique Sinusoidal Channels.” Angewandte Chemie International Edition. 2022, 61, 1-9. (Hot Paper).

Zhu, R.; Liu, B.; Wang, S.; Huang, X.; Schuarca, R.L.; He, W.; Cybulskis, V.J.; Bond, J.Q. “Understanding the Mechanism(s) of Ketone Oxidation on VOx/γ-Al2O3.” Journal of Catalysis. 2021, 404, 109-127.

Cybulskis, V.J.; Gounder, R.; Mojarad, S.; Davis, M.E. “Initiating a Research-Focused Academic Career in Chemical Engineering: Perspectives from Faculty at Different Career Stages.” AIChE Journal. 2020, 66(4), 1-9.

Guo, Q.; Ren, L.; Kumar, P.; Cybulskis, V.J.; Mkhoyan, A.K.; Davis, M.E.; Tsapatsis, M.; “A Chromium Hydroxide/MIL-101(Cr) Composite Catalyst and its use for Selective Glucose Isomerization to Fructose.” Angewandte Chemie International Edition. 2018, 130, 5020-5024.

Andria Costello Staniec

Andria Costello Staniec was named Associate Provost for Academic Programs for Syracuse University in July of 2012, becoming the senior leader in Academic Affairs charged with ensuring the quality and effectiveness of academic programs and the academic success of SU students, including the collaborative development of policies and programs that promote instructional quality, advising effectiveness and student success.

Costello Staniec joined the faculty at Syracuse University in January, 1999. She received a Bachelor of Science in Applied Biology from the Georgia Institute of Technology in 1992. Dr. Costello Staniec earned her Master’s and doctoral degrees in Environmental Engineering Science from the California Institute of Technology in 1995 and 1999, respectively. Her graduate study was performed in the broad area of applied environmental microbiology. As a graduate student, Dr. Costello Staniec was awarded a National Science Foundation Graduate Fellowship. Dr. Costello Staniec is a member of the American Society for Engineering Education, the American Chemical Society, the American Society for Microbiology, the Association of Environmental Engineering and Science Professors, and the Society of Women Engineers.

Costello Staniec teaches courses in the department of Civil and Environmental Engineering at both the undergraduate and graduate levels. Her classes are in the areas of environmental microbiology and biotechnological applications in engineering. Costello Staniec conducts multidisciplinary research aimed at elucidating the complex relationships between microbial diversity and function. Her research is focused on the development and application of molecular and microbiological tools to investigate both natural and engineered systems. Costello Staniec’s research interests include issues related to bioremediation, global biogeochemical cycles, and changes in microbial communities in response to anthropogenic disturbance.

Research Interests:

Costello Staniec is currently investigating the diversity of the methane oxidizing bacteria (methanotrophs) in soils in the northeastern United States. Methanotrophs are a group of bacteria that grow on methane as their sole source of carbon and energy. They can be isolated from a wide variety of environments and are believed to be ubiquitous in nature. Increased attention has been focused on the ecological implications of methane oxidation and the role of methanotrophs in both the global methane budget and the bioremediation of halogenated solvents. Research in the Costello Staniec lab has led to the development of tools designed to assess the microbial diversity and function of methanotrophs in natural and engineered systems. Costello Staniec is currently investigating the role of methanotrophs in the global carbon cycle at study sites in New York, Vermont, New Hampshire, and Maine.

In addition to her work with methanotrophs, Costello Staniec is involved with work relating microbial diversity to function at the Hubbard Brook Experimental Forest (HBEF). Her research at the HBEF addresses the factors controlling microbial diversity in a northern hardwood forest and the relationships between microbial diversity, community structure, and microbial function in the ecosystem. Recent work includes the study of the effects of an entire watershed manipulation (liming) on soil microbial populations as well as investigations into the effects of acidic deposition on belowground microorganisms.

Teaching Interests:

  • Environmental Engineering
  • Environmental Microbiology
  • Bioremediation
  • Biotechnology

Shiu-Kai Chin


  • Ph. D. Syracuse University

Lab/Center Affiliation(s):

  • Center for Information Systems Assurance and Trust
  • Institute for National Security and Counter Terrorism

Areas of Expertise:

  • Computer security
  • Systems assurance
  • Formal verification

Shiu-Kai Chin’s research uses mathematical logic for the design and verification of trustworthy computer systems. Examples of computer systems that must be trustworthy are command and control systems, financial services, and distributed control of the power grid. His focus is on policy-based design and verification with an emphasis on using computer-assisted reasoning using higher-order logic theorem provers.

Shiu-Kai supports the Air Force’s research in trustworthy systems and hardware-based security. His work with JP Morgan Chase was used to reason about the security and integrity of credentials and entitlements in large-value commercial transactions.

Honors and Awards:

  • Provost Faculty Fellow
  • Laura J. and L. Douglas Meredith Professor for Teaching Excellence
  • Chancellor’s Citation for Outstanding Contributions to the University’s Academic Programs
  • 2005 Syracuse University Outstanding Teacher of the Year
  • Crouse Hinds Award for Excellence in Education

Selected Publications:

Shiu-Kai Chin, “Teaching Undergraduates Certified Security by Design,” 19th Colloquium for Information Systems Security Education, Las Vegas, NV, June 15-17, 2015.

Glenn Benson, Shiu-Kai Chin, Sean Croston, Karthick Jayaraman, Susan Older, Banking on interoperability: Secure, interoperable credential management, Computer Networks, Volume 67, 2014, pp. 235-251.

Shiu-Kai Chin, Erich Devendorf, Sarah Muccio, Susan Older, and James Royer, “Formal Verification for Mission Assurance in Cyberspace: Education, Tools, and Results,” Proceedings of the 16th Colloquium for Information Systems Security Education, Lake Buena Vista, FL, June 11-13, 2012, pp. 75—82.

Shiu-Kai Chin and Susan Older, Access Control, Security, and Trust: A Logical Approach, CRC Press, 2011.

Shiu-Kai Chin, “Logic Design for Access Control, Security, and Trust,” (Invited Keynote) Engineering of Reconfigurable Systems and Algorithms (ERSA’11) Las Vegas, 18-21 July 2011

Shiu-Kai Chin, Sarah Muccio, Susan Older, and Thomas N. J. Vestal, “Policy-Based Design and Verification for Mission Assurance,” in Igor Kotenko and Victor Skormin (Eds.), Computer Network Security, 5th International Conference on Mathematical Methods, Models and Architectures for Computer Network Security, MMM-ACNS 2010, St. Petersburg, Russia, September 2010.

Glenn Benson, Shiu-Kai Chin, Sean Croston, Karthick Jayaraman, and Susan Older, “Credentials Management for High-Value Transactions,” in Igor Kotenko and Victor Skormin (Eds.), Computer Network Security, 5th International Conference on Mathematical Methods, Models and Architectures for Computer Network Security, MMM-ACNS 2010, St. Petersburg, Russia, September 2010.

Biao Chen


  • Ph. D., University of Connecticut

Lab/Center Affiliation:

  • Communication Laboratory

Areas of Expertise:

  • Information Theory
  • Signal Processing
  • Statistical Learning Theory

Chen’s area of research interest mainly focuses on information theory, signal processing, and foundational theory to machine learning, with applications to wireless communications and sensor networks. On the applied side, he has worked extensively on software radio system design, including leading two student teams to compete as finalist in the DARPA Spectrum Challenge and DARPA Spectrum Collaboration Challenge. His most recent endeavors include the development of passive RF sensing theory and systems for a variety of indoor situational awareness missions.

Honors and Awards:

IEEE Fellow (2015)

NSF CAREER Award (2006)

Selected Publications:

  • Y. Liu, T. Wang, Y. Jiang and B. Chen, “Harvesting Ambient RF for Presence Detection Through Deep Learning” , IEEE Trans. Neural Networks and Learning Syst., vol. 33, no. 4, pp. 1571-1583, April 2022, doi: 10.1109/TNNLS.2020.3042908.
  • S. Zhu, B. Chen, Z. Chen and P. Yang, “Asymptotically Optimal One- and Two-Sample Testing With Kernels,” in IEEE Transactions on Information Theory, vol. 67, no. 4, pp. 2074-2092, April 2021, doi: 10.1109/TIT.2021.3059267.
  • G. Xu, W. Liu and B. Chen, “A Lossy Source Coding Interpretation of Wyner’s Common Information,” in IEEE Transactions on Information Theory, vol. 62, no. 2, pp. 754-768, Feb. 2016, doi: 10.1109/TIT.2015.2506560.
  • H. Chen, B. Chen and P. K. Varshney, “A New Framework for Distributed Detection With Conditionally Dependent Observations,” in IEEE Transactions on Signal Processing, vol. 60, no. 3, pp. 1409-1419, March 2012, doi: 10.1109/TSP.2011.2177975.
  • X. Shang, G. Kramer and B. Chen, “A New Outer Bound and the Noisy-Interference Sum–Rate Capacity for Gaussian Interference Channels,” in IEEE Transactions on Information Theory, vol. 55, no. 2, pp. 689-699, Feb. 2009, doi: 10.1109/TIT.2008.2009793.

Ruth Chen


  • MPH, Ph.D.

Lab/Center Affiliation(s):

  • Building Energy and Environmental Systems Laboratory

Research Interests:

  • Risk Assessment
  • Environmental Regulation
  • Injurious Effect of Environmental Chemicals
  • Aerosol Delivery of Chemo-preventive Agents
  • Alternative Energy
  • Environmental Education
  • Metabolism of Hepatotoxic Aliphatic Halogenated Hydrocarbons

Current Research:

I am in consultation and exploration with Biomedical, Chemical, and Environmental Engineering faculty members to form collaboration efforts.


  • NIH Grant in Aerosol Delivery of Chemopreventive Agents in the Treatment of Lung Cancer (2011)
  • Center for Disease Control and Prevention Bio-monitoring Grant (2002)
  • USEPA Pesticide Exposure Outreach Grant (2002)
  • NIH Staff Fellowship (1984-87)

Courses Taught:

  • Environmental Risk assessment methodology
  • Environmental toxicology
  • Alternative energy
  • Human health impact of exposures to environmental toxins
  • Education in global response to energy and environmental challenges

Selected Publications:

Jingjie. Zhang, Huijing Fu,, Jing Pan, Yian Wang, Ruth Chen, Da-Ren Chen, and Ming You (2013). Aerosolized Iressa Decreases Lung Tumorigenesis with Minimal Adverse Systemic Effect, to be submitted to Lung Cancer Research.

Jingjie Zhang, Huijing Fu, Jing Pan, Ruth Chen, Yian Wang, Da-Ren Chen, and Ming You (2013). Chemoprevention of Lung Carcinogenesis by the Combination of Aerosolized Budesonide and Oral Polyphenon E in A/J Mice, to be submitted to Molecular Carcinogenesis.

Madelyn Ball, Ruth Chen, and Yinjie J Tang (2012). The “Some Sense” of Biofuels. J. Petroleum.Environmental Biotechnology, 3:4.

Qi Zhang, Jing Pan, Jingjie Zhang, Pengyuan Liu, Yian Wang, Ruth Chen, Da-Ren Chen, Ronald Lubet, and Ming You (2011). Aerosolized Targretin Decreases Lung Tumorigenesis Without Increasing Triglyceride and Cholesterol Level in Serum, Lung Cancer Prevention, 4(2):270-276.

Huijing Fu, Jingjie Zhang, Jing Pan, Qi Zhang, Yan Lu, Weidong Wen, Ronald A. Lubet, Eva Szabo, Ruth Chen, Yian Wang, Da-Ren Chen, and Ming You (2011), Chemoprevention of Lung Carcinogenesis by the Combination of Aerosolized Budesonide and Oral Pioglitazone in A/J Mice, Molecular Carcinogenesis, 50(12):913-921.

H. Fu, J. He, F. Mei, Q. Zhang, Y. Hara, S. Ryota, R. A. Lubet, R. Chen, Da-Ren Chen, and M. You (2009). Anti-lung Cancer Effect of Epigallocatechin-3-gallate is Dependent on Its Presence in a Complex Mixture (Polyphenon E), Cancer Prevention Research, 2(6):531-537. (Cover page article)

C.Y. Roger Chen


  • Ph. D., University of Illinois at Urbana-Champaign, 1987

Research Interests:

  • VLSI timing analysis and simulation
  • Transistor/circuit level power leakage reduction
  • Software debugging and verification
  • Distributed data sharing and collaboration

Current Research:

A current work that a doctoral student and I are working on is to develop techniques to reduce leakage power of circuits during idle times. Two specific techniques are developed: (1) Leakage power behavior is examined for reordering serially connected transistor blocks. Based on that, we can then determine a primary input vector to a circuit to reduce its leakage power during idle mode. (2) Effect of body bias is studied for nano-scale transistor. A hybrid technique (mixing reverse body bias and forward body bias) is developed to reduce power leakage during idle mode. Another current work that a doctoral student and I are working on is to develop a tool for software debugging and verification. Traditional IDE allows setting of break points, but provides minimum supports in reasoning and bug locating. The goal of this research work is to allow programmers to query various properties of programs and help locating the causes of property violations. Another current work that a doctoral student and I are working on is to design a transistor level circuit simulator, which gives an accuracy near that of SPICE, and can handles much larger circuits in much less run time. Other research work involves distributed data sharing and collaboration, design of platform and protocol for emergency response systems, etc.

Teaching Interests:

  • VLSI timing analysis
  • VLSI computer-aided design
  • Transistor level leakage power reduction
  • Multimedia information systems
  • Modeling and performance evaluation of computer/communication systems
  • Object-oriented databases
  • Computer networks
  • Parallel/distributed processing
  • Computer architecture

Select Publications:

Don P. McGarry, C.Y. Roger Chen.; “IC.NET — Incident Command “Net”: A system using EDXL-DE for intelligent message routing,” 2010 IEEE International Conference on Technologies for Homeland Security (HST), pp. 197 – 203, Nov. 2010.

Jae Woong Chun and C. Y. Roger Chen, A Novel Leakage Power Reduction Technique for CMOS Circuit Design, IEEE International SoC Design Conference (ISOCC), Nov. 1010.

Veerapaneni Nagbhushan, C. Y. Roger Chen: Modeling and reduction of complex timing constraints in high performance digital circuits. IEEE International Conference on Computer Design (ICCD) 2009

Ting-Wei Chiang, C Y Roger Chen and Wei-Yu Chen , “A Technique for Selecting CMOS Transistor Orders,” IEEE International Conference on Computer Design (ICCD), Oct. 2007.

Ting-Wei Chiang, C Y Roger Chen and Wei-Yu Chen, “An Efficient Gate Delay Model for VLSI Design,” IEEE International Conference on Computer Design (ICCD), Oct. 2007.

David Chandler


  • Ph.D., Cornell University, Agricultural and Biological Engineering, 1998.
  • M.S., Cornell University, Agricultural and Biological Engineering, 1995.
  • B.A., University of Vermont, Chemistry, 1984.

Research Interests:

  • Hydrology
  • Climate change
  • Green infrastructure
  • Sustainable development

Current Research:

My research investigates hydrologic change related to anthropogenic ecologic and climatic drivers. The primary lenses through which I view change are alteration of flow paths, water balance or infiltration capacity. To address these concerns, I have engaged in research projects targeted to guide land management in a wide range of geomorphologic and climatic settings.

Deforestation and rangeland succession: Wildland hydrology is governed primarily by subsurface flowpaths and plant water relations. Changes in land cover or climate often alter either of these controls in a manner that drives a complex response. My research focuses on the evolution of system properties for a given land cover and the consequences of abrupt alteration.

Climate change: Climate change is an important driver for terrestrial hydrology, yet most contemporary climate models operate at length and time scales much greater than those governing hydrologic processes. My students reconcile this problem by developing empirical relationships from long term data sets to predict the likely effects of continued climate change on regional hydrology.

Urban storm water: Approximately seven hundred cities in the USA require new infrastructure to replace the outdated combined sanitary sewer and storm drain systems. Many are interested in replacing or supplementing these systems with green infrastructure. I am currently developing capacity to understand the hydrologic performance, ecosystem interactions and functional limitations of the varied and widespread green infrastructure projects currently under construction in Syracuse and other cities in the Northeast USA.

Sustainability. The intersection of climate change, urbanization, culture and ecosystem function leads to complex and uncertain futures for urban sustainability. My group contributes data management expertise and geospatial analyses of cross cutting drivers of urban change to large research consortia interested in sustainability.

Courses Taught:

  • CEE 327 Fluid Mechanics
  • CEE 329 Probability, Statistics and Risk
  • CEE 352 Water Resources Engineering
  • CEE 413/613 Physical Hydrology
  • CEE 400/600 Snow in the Natural and Built Environment
  • CEE 659 Advanced Hydrology

Selected Publications:

Shafiei Shiva, J.; Chandler, D.G. Projection of Future Heat Waves in the United States. Part I: Selecting a Climate Model Subset. Atmosphere 2020, 11, 587

Fayaz, N., Condon, L.E. & Chandler, D.G. Evaluating the sensitivity of projected reservoir reliability to the choice of climate projection: A case study of Bull Run Watershed, Portland, Oregon. Water Resour Manage 341991–2009 (2020). https://doi.org/10.1007/s11269-020-02542-3

Hwang, K., D.G. Chandler, & SB Shaw. (2020) Patch scale evapotranspiration of wetland plant species by ground-based infrared thermometry. Agricultural and Forest Meteorology (287), ISSN 0168-1923, https://doi.org/10.1016/j.agrformet.2020.107948.

Chandler, D.G., Y. Cheng, M.S. Seyfried, M.D. Madsen, C.E. Johnson, and C.J. Williams. 2018. Seasonal wetness, soil organic carbon, and fire influence soil hydrological properties and water repellency in a sagebrush-steppe ecosystem. Water Resources Research, 54. https://doi.org/10.1029/

Chandler, D.G., M.S. Seyfried, J.P. McNamara, and K. Hwang. 2017. Inference of soil hydrologic parameters from long term soil moisture records. Frontiers in Earth Science: 5: 25. doi: 10.3389/feart.2017.00025.

Elizabeth Carter


  • Ph.D. Environmental Engineering, Cornell University
  • MSc. Environmental Information Systems, Cornell University
  • B.S. magna cum laude, University of Massachusetts, Amherst

Research Interests:

  • Disaster response and mitigation
  • Hydrometerology and hydroclimatology
  • Detection of water from space
  • Space/time statistics
  • Machine learning/artificial intelligence
  • High-performance computing
  • Algorithmic bias in water resources management and engineering ethics


  • NASA-USGS postdoctoral fellow
  • USDA-AFRI predoctoral fellow
  • Cornell University Graduate Dean’s scholar (2013-2019)

Current research:

Dr. Carter’s research in applied computational hydroclimatology attempts to fuse tools from modern data science with risk assessment in water resources engineering to mitigate social, environmental, and economic impacts of hydroclimatic extremes. Our success in utilizing our water resources infrastructure to reduce damages associated with the variable hydroclimate depends on our ability to diagnose and predict this hydroclimate variability at timescales which are relevant for adaptive management. This task is hampered by spatial and temporal sparsity of observations of hydrologic and hydroclimatic flux, complex patterns of space/time covariability in observations, and extremely low signal-to-noise ratio in hydroclimatic systems at the local scale. My research seeks to combat these obstacles by 1) integrating new sources of observational data, mostly from space-based assets, into diagnostic/predictive frameworks of hydrologic/hydroclimatic flux; 2) grounding data-driven analysis in a physical understanding of the hydrologic system through feature engineering and model diagnostics; 3) developing and utilizing data science algorithms which are appropriate for multivariate space/time systems, and 4) quantifying bias, error, and uncertainty in space/time models. Applications include automatic flood detection from multispectral and synthetic aperture radar (SAR) imagery for disaster response (NASA/USGS/NGA), developing custom hydrometeorological forecasts for adaptive reservoir management, detecting drivers of hydroclimatic variability of the Great Lakes, and quantification of evapotranspiration and groundwater flux from space (NASA/USDA).

Recent publications:

Carter, E., Herrera, D. A., & Steinschneider, S. (2021). Feature engineering for subseasonal-to-seasonal warm-season precipitation forecasts in the Midwestern US: towards a unifying hypothesis of anomalous warm-season hydroclimatic circulation. Journal of Climate, 1-67.

Sleeter, R., Carter, E., Jones, J.W., Eggleston, J., Kroeker, S., Ganuza , J., Dobbs, K., Coltin, B., McMichael, S., Shastry, A., Longhenry, R., Ellis, B., Jiang, Z., Phillips, J., and Furlong, P. M. (2021). Satellite-Derived Training Data for Automated Flood Detection in the Continental U.S.: U.S. Geological Survey data release, https://doi.org/10.5066/P9C7HYRV.

Tonitto, Christina; Woodbury, Peter; Carter, Elizabeth. (2020). Predicting greenhouse gas benefits of improved nitrogen management in North American maize. Journal of Environmental Quality 49 (4), 882-895.

Knighton, James; Pleiss , Geoff; Steinschneider, Scott; Carter, Elizabeth; Lyon,Steven; Walter, M. Todd. (2019). Reproduction of regional precipitation and discharge extremes with meso-scale climate products via machine learning: an evaluation for the Eastern CONUS. Journal of Hydrometeorology.

Carter, Elizabeth; Melkonian, Jeffrey; Steinschneider, Scott; Riha, Susan. (2018). Yield response to climate, management, and genotype: a large-scale observational analysis to identify climate-adaptive crop management practices in high-input maize systems. Environmental Research Letters, 13-11.

Carter, Elizabeth; Steinschneider, Scott. (2018). Hydroclimatological Drivers of Extreme Floods on Lake Ontario. Water Resources Research. 54: 4461-4478.

Carter, Elizabeth; Hain, Christopher; Anderson, Martha; Steinschneider, Scott. (2018). A water balance based, spatiotemporal evaluation of terrestrial evapotranspiration products across the contiguous United States. Journal of Hydrometeorology. 19: 891-905.

Carter, Elizabeth; Melkonian, Jeffrey; Steinschneider, Scott; Riha, Susan. (2018). Spatial gradients in management impact analysis of crop yield response to climate at large spatial scales. Agricultural and Forest Meteorology. 256: 242-252.

Carter, Elizabeth; Melkonian, Jeff; Riha, Susan; Shaw, Stephen. (2016). Separating heat stress from moisture stress: analyzing yield response to high temperature in irrigated maize. Environmental Research Letters. 11-9.

Mary Beth Browning Monroe

Lab/Center Affiliation:

BioInspired Institute

Research interests:

  • Biomaterials
  • Polymers
  • Shape Memory Polymers
  • Wound Healing
  • Tissue Engineering

The Monroe Biomaterials Lab utilizes basic and application-focused research to fabricate and characterize polymeric biomaterials with improved healing outcomes. Our long-term research vision is to make fundamental advances in polymer chemistry that enable safer and more effective medical devices. Current research projects include (1) the development of hemostatic foams to control bleeding in gunshot wounds; (2) synthesis and characterization of hydrogels for chronic wound healing, Crohn’s fistula closure, and cell delivery; and (3) ‘smart’ materials to improve infection surveillance, prevention, and treatment.

Honors and Awards:

  • NIH National Research Service Award Post-doctoral Fellowship (2015)
  • NSF Graduate Research Fellowship (2010-13)
  • P.E.O. Scholar Award, Endowed Scholar: Presidential Scholar Award (2012-13)
  • Acta Biomaterialia Student Award (2012)
  • Outstanding Engineering Graduate Student Award, Dwight Look College of Engineering, Texas A&M University (2012)

Selected Publications:

  • H.T. Beaman, B. Howes, P.S. Ganesh, M.B.B. Monroe, “Shape Memory Polymer Hydrogels with Cell-Responsive Degradation Mechanisms for Crohn’s Fistula Closure,” Journal of Biomedical Materials Research, Part A. 1-12 (2022). DOI: 10.1002/jbm.a.37376. Featured in Society for Biomaterials 2022 Awards Issue.
  • M. Ramezani, M.B.B. Monroe, “Biostable segmented thermoplastic polyurethane shape memory polymers for smart biomedical applications,” ACS Applied Polymer Materials, 4 (3) 1956–1965 (2022). DOI: 10.1021/acsapm.1c01808
  • C. Du, J. Liu, D.A. Fikhman, K.S. Dong, M.B.B. Monroe, “Shape Memory Polymer Foams with Phenolic Acid-Based Antioxidant and Antimicrobial Properties for Traumatic Wound Healing,” Frontiers in Bioengineering and Biotechnology. 10, 8093961 (2022). DOI: 10.3389/fbioe.2022.809361
  • H.T. BeamanE. Shepherd, J. Satalin, S. Blair, H. Ramcharran, K. DongD. Fikhman, G. Nieman, S.G. Schauer, M.B.B. Monroe, “Hemostatic Shape Memory Polymer Foams With Improved Survival in a Lethal Traumatic Hemorrhage Model,” Acta Biomaterialia. 137, 112-123 (2022). DOI: 10.1016/j.actbio.2021.10.005