Paulo Shakarian

Lab Affiliations: Leibniz Lab

Areas of Expertise:

  • Artificial Intelligence
  • Logic programming
  • Neurosymbolic AI
  • Abductive Reasoning
  • Metacognition
  • AI and Security
  • Data mining

Paulo Shakarian is the KG Tan Endowed Professor of Artificial Intelligence at Syracuse University.  His academic accomplishments include four best-paper awards, over 100 peer-reviewed articles, 12 issued patents, and 8 published books.  Shakarian has secured over $7 million in grant funding from various government and industry sponsors.  Paulo’s work on the use of AI methods to predict software vulnerabilities was commercialized in a startup that raised over $8 million in venture capital, obtained 80 paying customers, and was acquired in 2022.  Previously, Shakarian held faculty positions at West Point and Arizona State – earning tenure and an appointment as Research Director at the latter.  Prior to his academic career, Shakarian served in the U.S. Army with two combat tours in Iraq earning the Bronze Star.  He holds a Ph.D. and M.S. in computer science from the University of Maryland and a B.S. in computer science from West Point.

Honors and Awards:

  • Editor’s Choice Article (Cover article), Big Data and Cognitive Computing, “Argumentation-based Query Answering under Uncertainty with Application to Cybersecurity,” 2022.
  • Best Presentation, IEEE CCWC 2020 for “Inductive and Deductive Reasoning to Assist in Cyber-Attack Prediction”
  • Winner, Trumpf Venture Challenge, 2019 (followed by $1M investment from Trumpf Ventures)
  • Best Paper, IEEE ICDIS-2019 for “An End-to-End Framework to Identify Pathogenic Social Media Accounts on Twitter”
  • Best Paper, IEEE ICDIS-2018 for “Mining Key-Hackers on Darkweb Forums”
  • Best Paper, IEEE ASONAM-2016 (FOSINT-SI track) for “Argumentation Models for Cyber Attribution”
  • AFOSR Young Investigator Award, 2015
  • Full article in the print edition Popular Science (https://www.popsci.com/article/science/building-social-network-crime/), 2014
  • Meritorious Service Medal (for work done as an Assistant Professor), 2014
  • DARPA Service Chiefs’ Fellowship, 2007

Selected Publications:

P. Shakarian, H. Wei(eds.), Metacognitive Artificial Intelligence.  Cambridge University Press, 2025.

D. Bavikadi, N. Lee, P. Shakarian, C. Parvis, Sea-cret Agents: Maritime Abduction for Region Generation to Expose Dark Vessel Trajectories, 24thIntl. Conf. on Autonomous Agents and Multiagent Systems (AAMAS-2025).

J. S. Kricheli, K. Voa, A. Datta, S. Ozgur, P. Shakarian, Error Detection and Constraint Recovery in Hierarchical Multi-Label Classification without Prior Knowledge, 33rd ACM International Conference on Information and Knowledge Management (CIKM-24) (2024).

P. Shakarian,G.I. Simari, C. Baral, B. Xi, L. Pokala, Neuro Symbolic Reasoning and Learning, Springer-Nature, 2023.

D. Aditya, K. Mukherji, S. Balasubramanian, A. Chaudhary, P. Shakarian, PyReason: Software for Open World Temporal Logic, AAAI Spring Symposium (AAAI-MAKE) (Mar. 2023).

Kun-Hao Yu

Institute Affiliation: BioInspired Institute

Areas of Expertise:

  • Solid Mechanics
  • Polymers
  • Engineered Living Materials
  • Sustainable Infrastructure Materials
  • Advanced Manufacturing and 3D Printing

Dr. Yu’s research focuses on the development of sustainable engineered living materials, integrating living cells with synthetic materials to create functional materials with properties such as self-healing, self-growing, and dynamic environmental responsiveness. His research sits at the intersection of Solid Mechanics, Materials Science, Biology, and Advanced Manufacturing, with a focus on designing next-generation materials for infrastructure applications. His work aims to tackle critical global challenges in civil and environmental engineering, such as reducing greenhouse gas emissions, improving clean water access, advancing renewable energy solutions, and enhancing the resilience of structural materials. Through innovative material design, advanced manufacturing techniques (e.g., 3D printing), and fundamental mechanics studies, Dr. Yu seeks to develop materials that mimic biological functions while enabling greater control and manipulation of engineered living materials, ultimately contributing to a more sustainable built environment.

Honors and Awards:

  • SES Future Faculty Symposium (FFS) travel award
  • NAMRC/MSEC NSF Student Support Award
  • EMI-MIMB student paper competition Award
  • USC CEE Outstanding Research Assistant Award

Selected Publications:

Ketian Li, Kunhao Yu, Yanchu Zhang, Haixu Du, Constantinos Sioutas, Qiming Wang, Unveiling the mechanism secret of abrasion emissions of particulate matter and microplastics, Scientific Reports, 14, no. 1 : 23710, 2024.

So Hee Nah, Yunchan Lee, Kun‐Hao Yu, Yinding Chi, Hyemin Lee, Baohong Chen, Mohit Patel, Kunyu Wang, Shu Yang, Moisture Absorbing and Water Self-Releasing from Hybrid Hydrogel Desiccants, Advanced Functional Materials, 2313881, 2023

Kunhao Yu, Zhangzhengrong Feng, Haixu Du, Kyung Hoon Lee, Ketian Li, Yanchu Zhang, Sami F. Masri, Qiming Wang, Constructive adaptation of 3D-printable polymers in response to typically destructive aquatic environments, PNAS Nexus, 2022, Vol. 1, No. 3.

Kunhao Yu, Zhangzhengrong Feng, Haixu Du, Qiming Wang, Mechanics of Photosynthesis Assisted Polymer Strengthening, Journal of the Mechanics and Physics of Solids, 151, 104382, 2021.

Kunhao Yu, Zhangzhengrong Feng, Haixu Du, An Xin, Kyung Hoon Lee, Ketian Li, Yipin Su, Qiming Wang, Nicholas X Fang, Chiara Daraio, Photosynthesis Assisted Remodeling of Three-Dimensional Printed Structures, Proceedings of the National Academy of Sciences, 118 (3), 2021.

Kunhao Yu, Haixu Du, An Xin, Kyung Hoon Lee, Zhangzhengrong Feng, Sami F. Masri, Yong Chen, Guoliang Huang, Qiming Wang, Healable, Memorizable, and Transformable Lattice Structures Made of Stiff Polymers, NPG Asia Materials, 12, 26, 2020.

An Xin, Kunhao Yu, Runrun Zhang, Bingyuan Ruan, Allyson L. McGaughey, Zhangzhengrong Feng, Kyung Hoon Lee, Yong Chen, Amy E. Childress, Qiming Wang, Bone-Inspired Healing of 3D-Printed Porous Ceramics, Materials Horizons, 2020.

Kunhao Yu, An Xin, Zhangzhengrong Feng, Kyung Hoon Lee, Qiming Wang, Mechanics of Self-Healing Thermoplastic Elastomers, Journal of the Mechanics and Physics of Solids, 137, 103831, 2020.

Kunhao Yu, An Xin, Haixu Du, Ying Li, Qiming Wang, Additive Manufacturing of Self-Healing Elastomers, NPG Asia Materials, 11, 7, 2019.

Kunhao Yu, An Xin, Qiming Wang, Mechanics of Light-Activated Self-Healing Polymer Networks, Journal of the Mechanics and Physics of Solids, 124, 643-662, 2019.

Kunhao Yu, An Xin, Qiming Wang, Mechanics of self-healing polymer networks crosslinked by dynamic bonds, Journal of the Mechanics and Physics of Solids, 121, 409-431, 2018.

Kunhao Yu, Di Wang, Qiming Wang, Tough and Self-Healable Nanocomposite Hydrogels for Repeatable Water Treatment, Polymers, 10, 880, 2018.

Kunhao Yu, Nicholas X. Fang, Guoliang Huang, Qiming Wang, Magnetoactive Acoustic Metamaterials, Advanced Materials, 1706348, 2018.

Jialiu Zeng

Education:

  • Presidential Postdoctoral Fellow, Nanyang Technological University (2021-2024)
  • Postdoctoral Associate, Yale University (2020-2021)
  • Ph.D. in Biomedical Engineering, Boston University (2020)
  • B.Eng. in Biomedical Engineering, National University of Singapore (2014)

Institute Affiliation: BioInspired Institute

Areas of Expertise:

  • Nanomedicine and targeted drug delivery
  • Stimuli-responsive biomaterials
  • Translational neuroscience
  • Biomarker discovery
  • Disease modeling

The Zeng lab combines expertise in nanotechnology, biomaterials, and drug delivery systems to develop novel nanomedicine platforms to promote the clearance of toxic protein aggregates in neurodegenerative diseases and target lipid dysregulation in metabolic disorders. Specifically, we leverage these new tools to investigate how insulin resistance, oxidative stress, inflammation, and autolysosomal dysfunction, contribute to Parkinson’s disease (PD) as well as metabolic disorders, including metabolic dysfunction-associated steatotic liver disease (MASLD), obesity, and type 2 diabetes (T2D). Through an interdisciplinary approach that integrates biomarker discovery, advanced therapeutics, and translational neuroscience, the Zeng Lab aims to pioneer innovative strategies for targeting neurodegenerative diseases and metabolic disorders.

Honors and Awards:

  • Presidential Postdoctoral Fellowship, Nanyang Technological University (2021-2024)
  • International Brain Research Organization (IBRO) Travel Grant (2024)
  • Women in Engineering, Science, and Technology (WiEST) Development Grant, Nanyang Technological University (2022)
  • BUNano Cross-Disciplinary Fellowship, Boston University (2016-2018)

Selected Publications:

  1. Asimakidou E, Saipuljumri EN, Lo CH, Zeng J* (2025). Role of metabolic dysfunction and inflammation along the liver–brain axis in animal models with obesity induced neurodegeneration. Neural Regeneration Research, 20(4): 1069-1076.
  2. Zeng J*, Cheong LYT, Lo CH* (2025). Therapeutic targeting of obesity-induced neuroinflammation and neurodegeneration. Frontiers in Endocrinology, 15:1456948.
  3. Asimakidou E, Tan JKS, Zeng J*, Lo CH* (2024). Blood-brain barrier targeting nanoparticles: biomaterial properties and biomedical applications in translational neuroscience, Pharmaceuticals, 17(5):612. 
  4. Zeng J, Loi GWZ, Saipuljumri EN, Silva-García O, Pérez-Aguilar JM, Romero Durán MA, Baizabal-Aguirre VM, Lo CH (2024). Peptide-based allosteric inhibitor targets TNFR1 conformationally active region and disables receptor-ligand signaling complex. Proceedings of the National Academy of Sciences (PNAS), 121(14):e2308132121.
  5. Lo CH*, O’Connor LM, Loi GWZ, Saipuljumri EN, Indajang J, Lopes KM, Shirihai OS, Grinstaff MW, Zeng J* (2024). Acidic nanoparticles restore lysosomal acidification and rescue metabolic dysfunction in pancreatic β-cells under lipotoxic condition. ACS Nano, 18(24): 15452-15467.
  • Quick JD, Silva C, Wong JH, Lim KL, Reynolds R, Barron AM, Zeng J*, Lo CH* (2023). Lysosomal acidification dysfunction in microglia: an emerging pathogenic mechanism of neuroinflammation and neurodegeneration. Journal of Neuroinflammation, 185.
  • Lo CH* & Zeng J* (2023). Defective lysosomal acidification: a new prognostic marker and therapeutic target for neurodegenerative diseases. Translational Neurodegeneration, 12:29.
  • O’Connor LM, O’Connor BA, Lim SB, Zeng J, Lo CH (2023). Integrative multi-omics and systems bioinformatics in translational neuroscience: A data mining perspective. Journal of Pharmaceutical Analysis, 13(8): 836-850.
  • Zeng J*, Acin-Perez R, Assali EA, Martin A, Petcherski A, Xiao R, Lo CH, Shum M, Liesa-Roig M, Han X, Shirihai O*, Grinstaff MW* (2023). Restoration of lysosomal acidification rescues autophagy and metabolic dysfunction in non-alcoholic fatty liver disease. Nature Communications, 14(1): 2573.
  • Lo CH* and Zeng J* (2023). Application of polymersomes in membrane protein study and drug discovery. Bioengineering and Translational Medicine, 8(1):e10350.
  • Xiao R^, Zeng J^, Bressler EM, Lu W, Grinstaff MW (2022). Synthesis of bioactive (1-6)-β-glucose branched poly-amido-saccharides that stimulate macrophages. Nature Communications, 13(1):1-13. (^Co-first authors)
  • Rai P, Janardhan K, Meacham J, Madenspacher J, Lin W, Karmaus PWF, Li Q, Yan M, Zeng J, Grinstaff MW, Shirihai OS, Taylor G, Fessler M (2021). Irgm1 links mitochondrial quality control to autoimmunity. Nature Immunology, 22(3): 312-321.
  • Zeng J*, Shirihai OS, Grinstaff MW* (2020). Modulating lysosomal pH: a molecular and nanoscale materials design perspective. Journal of Life Sciences, 2(4):25-37.
  • Zeng J*, Martin A, Shirihai OS, Xue H, Grinstaff MW* (2019). Biodegradable PLGA nanoparticles restore lysosomal acidity and protect neural PC-12 cells against mitochondrial toxicity. Industrial & Engineering Chemistry Research, 58 (31):13910-13917.
  • Zeng J, Shirihai OS, Grinstaff MW (2019). Degradable nanoparticles restore lysosomal pH and autophagic flux in lipotoxic pancreatic beta cells. Advanced Healthcare Materials, 8(12): 1801511.

Andrea Joseph

Lab/ Center/ Institute affiliation – BioInspired Institute

Areas of Expertise:

  • Drug delivery
  • Nanomedicine
  • Extracellular vesicles
  • Neuroinflammation
  • Maternal-fetal health

Advancements towards women’s health and children’s health are limited by our failure to understand the unique and complex biology of these populations. Pregnancy, at their intersection, is no less mysterious. Many adverse pregnancy outcomes, including preterm birth, stillbirth, and preeclampsia, have no clear root cause nor effective cure. Further, drug delivery to mom and/or baby is limited by our poor characterization of biological barriers like vaginal mucus and fetal circulation and how these barriers are altered by inflammation and associated adverse outcomes. Nanotechnology can be leveraged to better understand the biochemical features of pregnancy in health and disease and to develop more effective, targeted therapeutics for pregnant people. My research group will focus on two distinct biological environments that are vulnerable to inflammation during pregnancy: the vaginal microbiome and the fetal brain. Our long-term goal is to develop novel nanotherapeutic platforms that can attenuate inflammation to broadly promote maternal, fetal, and neonatal health.

Honors and Awards:

  • Robin Chemers Neustein Postdoctoral Fellowship, Icahn School of Medicine at Mount Sinai (2023-2024)
  • President’s Plenary Award, Society for Reproductive Investigation (2023)
  • Kumar Memorial Lecture Award, University of Pennsylvania (2022)
  • Ruth L. Kirschstein Predoctoral Individual National Research Service Award (F31), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (2018-2021)

Selected Publications:

Corresponding author

  1. A. Joseph, L. Anton, Y. Guan, B. Ferguson, I. Mirro, N. Meng, M. France, J. Ravel, and M. Elovitz. Extracellular vesicles from vaginal Gardnerella vaginalis and Mobiluncus mulieris contain distinct proteomic cargo and induce inflammatory pathways, npj Biofilms & Microbiomes (2023)
  2. A. Joseph, E. Lewis, B. Ferguson, Y. Guan, L. Anton, and M. Elovitz. Intrauterine colonization with Gardnerella vaginalis and Mobiluncus mulieris induces maternal inflammation but not preterm birth in a mouse model, American Journal of Reproductive Immunology. (2023)
  3. A. Joseph and E. Nance. Nanotherapeutics and the Brain, Annual Review of Chemical and Biomolecular Engineering. (2022)
  4. A. Joseph, G. Simo, T. Gao, N. Alhindi, N. Xu, D. Graham, L. Gamble, E. Nance. Surfactants influence polymer nanoparticle fate in the brain, Biomaterials. (2021)
  5. A. Joseph, C. Nyambura, D. Bondurant, K. Corry, D. Beebout, T. Wood, J. Pfaendtner, E. Nance. Formulation and efficacy of catalase-loaded nanoparticles for the treatment of neonatal hypoxic-ischemic encephalopathy, Pharmaceutics. (2021)

Tong Lin

Lab/ Center/ Institute affiliation:

  • Syracuse Center of Excellence in Energy and Environmental Systems – Analysis and Design Center

Areas of Expertise:

  • Computational Fluid Dynamics (CFD)
  • Turbomachinery Design and Performance Analysis
  • Air Purification, Ventilation, and Indoor Air Quality (IAQ)
  • Airborne Pathogen Transmission Risk Mitigation

Professor Lin specializes in computational fluid dynamics, turbomachinery design and performance analysis, with a particular focus on the interaction between turbomachinery and flow resistance systems to enhance pressure rise and energy efficiency. His expertise extends to improving indoor air quality through the development and optimization of ventilation and air purification systems, including technologies such as UV germicidal irradiation, photocatalytic oxidation, and ionization systems. Dr. Lin actively researches strategies to mitigate airborne pathogen transmission risks in indoor environments, employing both experimental analyses and modeling approaches to devise effective solutions.

Honors and Awards:

  • 2019 Research Excellence Doctoral Funding (REDF) Fellowship

Selected Publications:

  1. Lin T, Pan Y, Sarimurat M, Dang T. System Performance of Highly Coupled Fan and High- Resistance Medium. IEEE Transactions on Components, Packaging and Manufacturing Technology. 2023; 13(9):1399-1409. Available from: https://ieeexplore.ieee.org/document/10217016/ DOI: 10.1109/TCPMT.2023.3305091
  2. Wang L, Lin T, Da Costa H, Zhu S, Stockman T, Kumar A, Weaver J, Spede M, Milton D, Hertzberg J, Toohey D, Vance M, Miller S, Srebric J. Characterization of aerosol plumes from singing and playing wind instruments associated with the risk of airborne virus transmission. Indoor Air. 2022 June 13; 32(6):-. Available from: https://onlinelibrary.wiley.com/doi/10.1111/ina.13064 DOI: 10.1111/ina.13064
  3. Lin T, Sarimurat M, Dang T. Flow Interaction Between Cascade and Flow Resistance Medium. Volume 6: Education; Electric Power; Energy Storage; Fans and Blowers. ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition; Jun. – ; Boston, Massachusetts, USA. American Society of Mechanical Engineers; c2023. Available from: https://asmedigitalcollection.asme.org/GT/proceedings/GT2023/86991/V006T10A002/1168053 DOI: 10.1115/GT2023-101271
  4. Zhu S, Lin T, Wang L, Nardell E, Vincent R, Srebric J. Ceiling impact on air disinfection performance of Upper-Room Germicidal Ultraviolet (UR-GUV). Building and Environment. 2022 October; 224:109530-. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0360132322007600 DOI: 10.1016/j.buildenv.2022.109530

Moamer (Mo) Hasanovic

Dr. Mo Hasanovic holds a Ph.D. in electrical engineering and an M.B.A. from Syracuse University, earned in 2005 and 2008, respectively. With over two decades of industry experience, Dr. Hasanovic has held key roles as a principal engineer in board-level RF component design and development across multiple organizations. His research interests and expertise lie in passive RF component design for commercial, military, and space markets, with a recent focus on integrating RF and photonics. He has authored or co-authored more than 30 conference and journal articles and three textbooks in electrical engineering. Dr. Hasanovic leads the NSF-funded EdQuantum project as principal investigator, aimed at developing a curriculum in quantum technologies. Additionally, he is a member of IEEE, Optica, SPIE, and ACES.

Honors and Awards:

  1. Research Scholarship Award, Austrian Exchange Service, 1996-1998.
  2. Fellowship Award, German Academic Exchange Service, 1997-1998.
  3. Innovation of the Year Award for the Robotics and Photonics Institute, 2014-2015.
  4. Susan H. Johnson Endowed Teaching Chair, Indian River State College, 2020-2022.
  5. LASER-TEC, Center for Laser, Photonics, and Fiber Optics Education (NSF DUE #1304628,1700352,2000166), NSF 18-571 Advanced Technological Education, 7/24-8/24; External Consultant, 9/2013-8/2023, $8,315,752.
  6. Developing Photonics Outreach Model in a Developing Country, SPIE Outreach Grant, 9/2019-7/2020; Principal Investigator, $5,000.
  7. Educational Visit to Laser-Photonics Companies and Vocational/Technical Schools in Germany (a supplement to LASER-TEC, NSF DUE #1700352), NSF 18-571 Advanced Technological Education, 9/2020-10/2020; External Consultant, $32,258.
  8. EdQuantum: Hybrid Curriculum for Upskilling Photonics Technicians in Advanced Optics and Quantum Research Enabled Technologies, (NSF DUE #2055061 Award), NSF 18-571 Advanced Technological Education, 6/2021 – 6/2024; Principal Investigator, $485,842.
  9. International Trip to Visit Quantum Australia (a supplement to NSF DUE #2055061), NSF 18-571 Advanced Technological Education, 7/2024-8/2024; Principal Investigator, $45,245.

Selected Publications:

  1. M. Hasanovic, J. Ayala and M. Kettner, “4-Way Microstrip Wilkinson Power Splitter at Frequencies of Millimeter Waves,” 2023 IEEE/MTT-S International Microwave Symposium – IMS 2023, San Diego, CA, USA, 2023, pp. 713-716, doi: 10.1109/IMS37964.2023.10188218.
  2. Mo Hasanovic, “Quantum education: how to teach a subject that nobody fully understands”, Proc. SPIE 12723, Seventeenth Conference on Education and Training in Optics and Photonics: ETOP 2023, 1272331 (28 June 2023); https://doi.org/10.1117/12.2670468.
  3. Moamer Hasanovic, Chrysanthos Panayiotou, Donn Silberman, “Upskilling photonics technicians to meet challenges of the quantum 2.0 revolution,” Proc. SPIE 12213, Optics Education and Outreach VII, 122130E (3 October 2022); doi: 10.1117/12.2631617.
  4. Mo Hasanovic, Chrys Panayiotou, Donn Silberman, Paul Stimers, and Celia Merzbacher, “Quantum technician skills and competencies for the emerging Quantum 2.0 industry “, Opt. Eng. 61 (8), 081803 (April 9, 2022) https://doi.org/10.1117/1.OE.61.8.081803.
  5. Moamer Hasanovic, Chong Mei, Jay K. Lee, and Ercument Arvas, “Frequency-Domain Solution to Electromagnetic Scattering from Dispersive Chiroferrite Materials”, ACES Journal, Vol. 28, No. 7, July 2013, pp. 565-572.
  6. Chong Mei, Moamer Hasanovic, Jay K. Lee, and Ercument Arvas, “Comprehensive Solution to Scattering by Bianisotropic Objects of Arbitrary Shape”, Progress In Electromagnetics Research B (PIER-B), Vol. 42, 2012, pp. 335-362.
  7. Sandi Ibrahimpasic and Moamer Hasanovic, “Modeling and Simulation of Wilkinson Power Splitter in Suspended Stripline”, ACES Journal (Special Issue on ACES 2010 Conference), Vol. 25, No. 10, October 2010, pp. 888-893.
  8. Moamer Hasanovic, Chong Mei, Joseph R. Mautz, and Ercument Arvas, “Scattering from Three-Dimensional Inhomogeneous Chiral Bodies of Arbitrary Shape by the Method of Moments”, AP-55, no. 6, June 2007, pp. 1817-1825.

Karen Martinez Soto

Areas of Expertise:

  • Curriculum Development
  • Conceptual Understanding and Conceptual Change
  • Classroom Assessment and Evaluation
  • Dynamics and Control of Atmospheric Vehicles

Karen Martinez Soto holds a Ph.D. in Engineering Education from Virginia Tech, complemented by an M.Sc. in Aerospace Engineering (Virginia Tech) and B.Sc. in Aerospace Engineering (The University of Oklahoma). Her research focuses on the development of aerospace curricula that support conceptual understanding, particularly in Sophomore and Junior level courses. This research includes the study of how to teach and assess student’s understanding and mastery of difficult engineering concepts. Her aerospace background focused on dynamics and control of atmospheric vehicles, particularly unmanned multi-rotor aircraft.

Honors and Awards:

  • Best Student Paper Award at the ASEE Virtual Annual Conference | July 2021
  • Best DEI Paper Award at the ASEE Virtual Annual Conference | July 2021

Selected Publications:

Martinez Soto, K. D., & Murzi, H., & Jurkiewicz, J., & Hernandez, R. A., Decolonization of Academia: Is the Word Latinx a Form of Colonization? ASEE Annual Conference, June 2023

Martinez Soto, K. D. & Murzi, H., Using Modular Assignments to Assess MATLAB in a First Year Engineering Course. ASEE Southeast Section Conference, March 2023

Woods, J. C., & Murzi, H., & Chowdhury, T. M., & Huggins, N., & Martinez Soto, K. D., Study Abroad While Studying Abroad: International Students’ Participation in the RSAP Study Abroad Program. ASEE Virtual Annual Conference, July 2021

Chowdhury, T. M., & Murzi, H., & Martinez Soto, K. D., & Schuman, A., Measuring the Impact of a Study Abroad Program on Engineering Students’ Global Perspective. ASEE Virtual Annual Conference, July 2021

Andrea Shen

Areas of Expertise:

  • Combustion
  • Internal combustion engines
  • Fuel surrogates
  • Optimization

Andrea Shen earned her Ph.D. in the Engine Research Center at the University of Wisconsin–Madison with research focused on the reduction of greenhouse gases by utilizing novel alternative fuels, both neat and blended with gasoline. To analyze the potential performance of those novel fuels in a computational model, she developed an optimization method for generating gasoline surrogate compositions that represent a real gasoline fuel, both physically and chemically, while taking important fuel properties and engine processes into account. Her work consisted of both this modeling and running gasoline- and surrogate-alternative fuel blends in a single cylinder spark-ignition direct-injection engine for validation purposes. She has a passion for teaching and mentorship as well, teaching Design of Machine Elements and mentoring a number of graduate and undergraduate students while at UW–Madison.

Honors and Awards:

  • Bruce and Alice Tobis Graduate Support Scholarship in Mechanical Engineering at the University of Wisconsin–Madison

Lihong Lao

Degrees:

Ph.D., Cornell University

B.S., M.S., Zhejiang University

Lab/ Center/ Institute affiliation:

  • Syracuse Center of Excellence in Environmental Energy Systems
  • BioInspired Institute

Areas of Expertise:

  • Polymers, fibers and textiles
  • Soft materials
  • Smart materials
  • Bio-inspired design and manufacturing
  • Personal thermal and moisture management
  • Advanced materials for the built environment

Lao’s research focuses on understanding the interaction among the human body, buildings and environment, and improving their performance by developing advanced materials and smart systems. The prioritized area is thermal and moisture management for the human body and the built environment. Particularly, the group will use biomimetic approaches inspired by nature for the materials design and engineering based on polymers, fibers, textiles, soft materials, smart materials and advanced manufacturing. The goal is to contribute both scientific fundamentals and practical technologies to serve some global challenges such as human health, environment, energy and sustainability.

Honors and Awards:

  • AATCC Foundation Student Research Grant
  • Finalists of Woolmark Performance Challenge
  • Six Sigma Green Belt Project Leader, Dow Chemical
  • Chu Kochen President Scholarship, Zhejiang University

Selected Publications:

[1] Lihong Lao, Dahua Shou, Yuen Shing Wu, Jintu Fan. “Skin-like” fabric for personal moisture management. Science Advances, 2020(6), eaaz0013.

[2] Lihong Lao, Hedan Bai, Jintu Fan. Water Responsive Fabrics with Artificial Leaf Stomata. Advanced Fiber Materials, 2023, https://doi.org/10.1007/s42765-023-00269-5.

[3] Guanghan Huang, Xin Wei, Yuheng Gu, Zhanxiao Kang, Lihong Lao, Li Li, Jintu Fan, Dahua Shou. Heterogeneously engineered porous media for directional and asymmetric liquid transport, Cell Reports Physical Science, 2022 (3), 100710.

[4] Chao Zou†, Lihong Lao†, Qing Chen, Jintu Fan, Dahua Shou. Nature-inspired moisture management fabric for unidirectional liquid transport and surface repellence and resistance. Energy and Buildings, 2021(248), 111203. (†Co-1st)

[5] Lihong Lao, Liling Fu, Genggeng Qi, Emmanuel P. Giannelis, Jintu Fan. Superhydrophilic wrinkle-free cotton fabrics via plasma and nanofluid treatment. ACS Applied Materials & Interfaces, 2017 (9), 38109-38116.

[6] Lihong Lao, Sanlin S. Robinson, Bryan Peele, Huichan Zhao, Benjamin C. Mac Murray, James K. Min, Bobak Mosadegh, Simon Dunham, Robert F. Shepherd. Selective mineralization of tough hydrogel lumens for simulating arterial plaque. Advanced Engineering Materials, 2017 (19), 1600591. (Highlighted in Advanced Science News)

Gabriel Silva De Oliveira

Areas of Expertise:

  • Introductory Programming Instruction
  • Introductory Computer Science Education
  • Coding Struggle
  • Computer Science Education

I have spent my academic career studying Introductory Computer Science Education, and my PhD thesis covered how to understand and define coding struggle in CS2 programming courses. I have also previously taught CS1 and CS2 courses. Part of my teaching experience showed me how historically underrepresented populations are affected by a lack of Computer Science experience when taking introductory courses, and my goal is to create an environment where every student can be successful.

Selected Publications:

Gabriel Silva de Oliveira et al., 2024. Exploring Novice Programmers’ Testing Behavior: A First Step to Define Coding Struggle. In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2024). Association for Computing Machinery, New York, NY, USA, 1251–1257. https://doi.org/10.1145/3626252.3630851

Yue Cao

Areas of Expertise:

  • Robotics 
  • Artificial Intelligence 

Yue Cao’s research centers on utilizing AI techniques to facilitate the automation and intelligence of robotic systems, particularly manipulators. His primary research goal is to advance task-oriented programming systems for manipulators. He focuses on developing approaches that integrate generative AI with classical robotics theory to achieve automatic task planning and planning-to-execution transition for manipulators. 

Honors and Awards: 

  • Magoon Excellence in Teaching Award, Purdue University, 2019 
  • Teaching Academy Graduate Teaching Award, Purdue University, 2023 

Selected Publications:  

Yue Cao and C. S. George Lee, “Behavior-Tree Embeddings for Robot Task-Level Knowledge,” IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022. 

Yue Cao and C. S. George Lee, “Robot Behavior-Tree-Based Task Generation with Large Language Models,” AAAI Spring Symposium Series, 2023. 

Yue Cao and C. S. George Lee, “Ground Manipulator Primitive Tasks to Executable Actions using Large Language Models,” AAAI Fall Symposium Series, 2023. 

Junzhe Zhang

Areas of Expertise 

  • Causal Inference
  • Reinforcement Learning
  • Fairness Analysis
  • Generative Models 

My research focuses on causal inference theory and its applications to artificial intelligence, reinforcement learning, and machine learning. I am particularly interested in understanding the principles of robust decision-making in the context of distribution shifts, including challenges of confounding bias, selection bias, and external validity, and using that understanding to develop more efficient, robust, and fair decision-making systems (i.e., agents). Here are a few questions I’ve been exploring: 

  • How do we evaluate the causal effects of interventions from biased data? How do we draw robust counterfactual claims in the presence of distribution shifts? 
  • How can robust off-policy learning methods be developed to evaluate candidate policies from biased data? How can we extrapolate informative knowledge from offline data to accelerate a future online learning process? 
  • How can ethical concepts such as fairness and discrimination be incorporated into AI decision systems? How can we audit these systems to detect potential discriminatory behaviors? 

Selected Publications:  

Partial Counterfactual Identification from Observational and Experimental Data 
Junzhe Zhang, Jin Tian, Elias Bareinboim. 
ICML-2022. In Proceedings of the 39th International Conference on Machine Learning. 

Causal Imitation Learning with Unobserved Confounders 
Junzhe Zhang, Daniel Kumor, Elias Bareinboim. 
NeurIPS-2020. In Proceedings of the 34th Annual Conference on Neural Information Processing Systems. 

Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes 
Junzhe Zhang, Elias Bareinboim. 
NeurIPS-2019. In Proceedings of the 33rd Annual Conference on Neural Information Processing Systems. 

Fairness in Decision-Making — The Causal Explanation Formula 
Junzhe Zhang, Elias Bareinboim. 
AAAI-2018. In Proceedings of the 32nd AAAI Conference on Artificial Intelligence. 

Transfer Learning in Multi-Armed Bandits: A Causal Approach 
Junzhe Zhang, Elias Bareinboim. 
IJCAI-2017. In Proceedings of the 26th International Joint Conference on Artificial Intelligence. 

Rodrick Kuate Defo

Areas of Expertise: 

  • Quantum theory of solids 
  • Computational electronic structure methods 
  • Point defects in semiconductors 
  • Inverse design for large-scale photonic optimization

Kuate Defo’s research is focused on the theory underpinning the design of efficient devices for classical and quantum sensing, communication, and computation. His research achieves these aims through the development of ab-initio approaches to predict solid-state material properties; the determination of fundamental limits and efficient topology-optimization procedures to enhance light-matter interactions in nanophotonic devices; and the discovery and characterization of materials. He is particularly interested in the charge-state stability of point defects in wide band gap semiconductors for quantum sensing applications and in the dynamical process by which equilibrium of the Fermi level occurs in semiconductors. His program for research in nanophotonics uses computational and theoretical techniques to explore nanostructuring as a means of engineering materials with desirable figures of merit including large photonic bandgaps or significant Purcell enhancement.

Honors and Awards: 

  • Editors’ Suggestion, Physical Review B, 2023
  • US National Academies of Science, Engineering, and Medicine’s Ford Foundation Postdoctoral Fellowship, Oct. 2022 – 2023
  • Presidential Postdoctoral Research Fellowship, Princeton University, Sept. 2020 – Aug. 2022 (deferred to Jan. 2021 – Dec. 2022)
  • Commencement Marshal, Harvard University, May 2020
  • Institute for Applied Computational Science Student Scholarship, Harvard University, Sept. 2017 – Aug. 2018
  • Physics Graduate Prize Fellowship, Harvard University, Sept. 2014 – Aug. 2016

Selected Publications:  

A. Bahulikar, F. Wang, M. C. Gursoy, and R. Kuate Defo. “Solving the Inverse Band-Structure Problem for Photonic Crystals,” arXiv:2411.09165 [physics.optics]

R. Kuate Defo and S. L. Richardson, “Investigating the initialization and readout of relative populations of NV– and NV0 defects in diamond,” J. Appl. Phys. 135, 245702 (2024).

R. Kuate Defo, A. W. Rodriguez, and S. L. Richardson. “Charge-State Stability of Color Centers in Wide-Bandgap Semiconductors,” Phys. Rev. B 108, 235208 (2023).

R. Kuate Defo, A. W. Rodriguez, E. Kaxiras, S. L. Richardson, “Theoretical Investigation of Charge Transfer Between Two Defects in a Wide Band Gap Semiconductor,” Phys. Rev. B 107, 125305, (2023).

P. Chao, R. Kuate Defo, S. Molesky and A. W. Rodriguez, “Maximum Electromagnetic Local Density of States via Material Structuring,” Nanophotonics 12(3), 549–557 (2022).

R. Kuate Defo, X. Zhang, S. L. Richardson, and E. Kaxiras, “Theoretical Investigation of Charge Transfer between the NV− Center in Diamond and Substitutional N and P,” J. Appl. Phys. 130, 155102 (2021).

R. Kuate Defo, E. Kaxiras, and S. L. Richardson, “Calculating the Hyperfine Tensors for Group-IV Impurity-Vacancy Centers in Diamond Using Hybrid Density Functional Theory,” Phys. Rev. B 104, 075158, (2021).

R. Kuate Defo, H. Nguyen, M. J. H. Ku, and T. D. Rhone, “Methods to Accelerate High-Throughput Screening of Atomic Qubit Candidates in van der Waals Materials,” J. Appl. Phys. 129, 225105 (2021).

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

Degrees:

  • 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

-Decoherence

-Thermalization

-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 Letters, 54, 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 Solids, 159, p.104713.
  • Luo, A., and Turner, K.T., 2021. Achieving enhanced adhesion through optimal stress distributions. Journal of the Mechanics and Physics of Solids, 156, 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 Solids, 143, 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 Matter, 16(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 & interfaces, 12(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 Materials, 3(4), pp.3596-3603. (§ represents co-first author)
  • Luo, A. and Lior, N., 2017. Study of advancement to higher temperature membrane distillation. Desalination, 419, pp.88-100.
  • Luo, A. and Lior, N., 2016. Critical review of membrane distillation performance criteria. Desalination and Water Treatment, 57(43), pp.20093-20140.

Fernando Zigunov

Degrees:

  • Ph.D. Florida State University, Tallahassee, 2020
  • B.S. Universidade do Vale do Rio dos Sinos, Rio Grande do Sul, Brazil, 2017

Areas of Expertise:

  • Aerodynamics
  • Machine Learning Flow Control
  • Experimental Fluid Dynamics
  • Flow Visualization and Tomography

Lab/ Center/ Institute affiliation: Skytop Turbulence Laboratory

Dr. Fernando Zigunov’s research is focused on leveraging automated experiments in fluid dynamics to deploy machine learning systems that can achieve tangible engineering goals to control various complex flow problems to develop and improve future aircraft and energy production systems. Dr. Zigunov also has extensive expertise in volumetric flow diagnostic techniques such as tomographic and scanning PIV, as well as time-resolved PSP, shadowgraph and schlieren. He is also interested in using data assimilation and modal analysis techniques to distill complex experimental data and understand its dynamical behavior. 

Honors and Awards:

  • 2018-2020: Recipient of the Don Fuqua Fellowship Award
  • 2015-2016: Exchange Scholarship under the Brazilian Scientific Mobility Program (BSMP)

Selected Publications:

  • Zigunov, Fernando; Serdar Seckin, Rhylan Huss, Cameron Eggart and Farrukh Alvi. A continuously scanning spatiotemporal averaging method for obtaining volumetric mean flow measurements with stereoscopic PIV. Experiments in Fluids, 64(3):56, Mar 2023 
  • Zigunov, Fernando, Prabu Sellappan, and Farrukh Alvi. Reduction of noise in cold and hot supersonic jets using active flow control guided by a genetic algorithm. Journal of Fluid Mechanics, 2022 
  • Zigunov, Fernando, Prabu Sellappan, Farrukh Alvi, Yuta Ozawa, Yuji Saito, Taku Nonomura, and Keisuke Asai. Time-resolved particle image velocimetry and pressure sensitive paint measurements of afterbody flow dynamics. Phys. Rev. Fluids, 7:024701, Feb 2022 
  • Zigunov, Fernando, Prabu Sellappan, and Farrukh Alvi. Reynolds number and slant angle effects on the flow over a slanted cylinder afterbody. Journal of Fluid Mechanics, 893:A11, 2020 

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.

Books:

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. 

Matthew Erdman

Areas of Expertise:

  • Computational Fluid Dynamics
  • Heat and Mass Transfer
  • Multiphase Flow
  • Measurements and Instrumentation
  • Hydropower

Matthew Erdman earned his PhD from the Pennsylvania State University by utilizing commercial computational fluid dynamics software to improve the multiphase mass transfer models for Eulerian-Eulerian flow. His M.S. (also at Penn State) focused on improving the off-design efficiencies in hydraulic turbines. While at Penn State, he taught and coordinated the lab portion of the Measurement, Instrumentation and Statistics course for seven years. He then led the laboratory redesign of the above course as it transitioned into the Circuit Analysis, Instrumentation, and Statistics course.

Honors and Awards:

  • Hydro-Research Foundation Research Award (2014)
  • Vice Admiral E.L. Cochrane Award (2014) for best peer-reviewed paper published by the Society of Naval Architects and Marine Engineers
  • Outstanding Mechanical Engineering Award, Penn State Behrend (2013)

Selected Publications:

 Johnson, B., Lasher, W.C., Erdman, M., Miles, J., & Curry, B. “Uncertainties in the Wind-Heel Analysis of Traditional Sailing Vessels: The Challenges it presents for Forensic Analysis of Sailing Vessel Incidents,” 2013 Chesapeake Sailing Yacht Symposium. Annapolis, MD, March 2013.

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
  • 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

Education:

  • 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

Degrees:

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

Degrees:

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

Degrees:

  • B.S. in Civil Engineering, Jadavpur University, 2010
  • M.S. in Engineering Mechanics, Virginia Tech, 2014
  • Ph.D. in Applied Physics, University of Twente, 2018 

Areas of Expertise:

  • Soft Matter
  • Elasticity
  • Capillarity
  • Viscous flow

Lab/ Center/ Institute affiliation – BioInspired Institute

My 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 I study how soft materials behave when they are adhered to other substrates, wetted by liquid drops, or exposed to a flow. Leveraging this fundamental knowledge, my research lab aims to advance the development of flexible and wearable electronics, sensors and actuators for smart materials and functional surfaces.

Honors and Awards:

  • Outstanding faculty award – Sigma Gamma Tau (2024).
  • Active learning initiative fellowship at Cornell University (2021).
  • International Congress of Theoretical and Applied Mechanics (ICTAM) Travel Award (2016).

Selected Publications:

Kasey Laurent

Degrees:

  • 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 Sciences, 118(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 E, 105(5), 054901.


Alexander Deyhim

Degrees:

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

Degrees:

  • 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

Lab/ Center/ Institute affiliation:

  • Syracuse University Infrastructure Institute

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.

Areas of expertise:

Dr. Min Liu’s research 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 50 articles in top-ranked journals in Construction Engineering and Management. Her current research interests and expertise include:

  • Implementation of Large Language Modeling in construction planning reliability improvement
  • Ontology for construction working method and management database
  • Construction worker’s mental health
  • Infrastructure project delivery and policy
  • Prioritizing bridge preservation activity based on safety and socioeconomic factors

Honors and Awards:

Dr. Liu’s 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 the 2017 Lean and Computing in Construction Congress. She received the “Thank a Teacher” awards in 2018, 2017, and 2011 at the North Carolina State University.

Selected Publications:

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

  1. Javanmardi, A.*,  Liu, M., He, C.**,  Hsiang, S., and Hosseini, A.* (2024). “Improving Construction Meeting Effectiveness: Trade-off Between Reactive and Proactive Site-level Planning Discussions. Accepted by ASCE Journal of Management in in March 2024.
  2. Ding, F.*, Liu, M.**, Hsiang, S., Hu, P., Zhang, Y. and Jiang, K.* (2024). “Duration and Labor Resource Optimization for Construction Projects—A Conditional-Value-at-Risk-Based Analysis.” Accepted by Buildings in February 2024.
  3. Scala, N., Schiavone,V., Alves, T., and Liu, M., (2024). “The Gold Standard: Developing a Maturity Model to Assess Collaborative Scheduling.” Accepted by Engineering, Construction and Architectural Management in January 2024.
  4. He, C.*, Liu, M.**, Hsiang, S., and Pierce, N. (2024). “Synthesizing Ontology and Graph Neural Network to Unveil the Implicit Rules for US Bridge Preservation Decisions.” Accepted by ASCE Journal of Management in Engineering in January 2024.
  5. Javanmardi, A.*, He, C.*, Hsiang, S., Hosseini, A.*, Liu, M.** (2023). “Enhancing Construction Project Workflow Reliability Through Observe-plan-do-check-react Cycle: A Bridge Project Case Study.” Buildings, 13(9), 2379. https://doi.org/10.3390/buildings13092379
  6. Chen, G.*, Li, H., Liu, M.**, and Hsiang, S. (2023). “Motivating Reliable Collaboration for Modular Construction: Shapley Value-based Smart Contract.” ASCE Journal of Management in Engineering, 39(6), 04023042. https://doi.org/10.1061/JMENEA.MEENG-542
  7. Chen, G.*, Liu, M.**, Zhang, Y., Wang, Z.*, Hsiang, S. M., and He, C*. (2023). “Using Images to Detect, Plan, Analyze, and Coordinate a Smart Contract in Construction.” ASCE Journal of Management in Engineering, 39(2), 1–18.  https://doi.org/10.1061/JMENEA.MEENG-5121
  8. He, C.*, Liu, M.**, Zhang, Y., Wang, Z.*, Hsiang, S. M., Chen, G.*, Li, W., and Dai, G. (2023). “Space–Time–Workforce Visualization and Conditional Capacity Synthesis in Uncertainty.” ASCE Journal of Management in Engineering, 39(2), 04022071. https://doi.org/10.1061/JMENEA.MEENG-4991
  9. Chen, G.*, Li, H.**, Liu, M., and Hsiang, S. (2023). “Knowing What is Going on – a Smart Contract for Modular Construction.” Canadian Journal of Civil Engineering, 50(3), 210-223. https://doi.org/10.1139/cjce-2021-0649。
  1. Zhang, M.*, Chih, Y., Zhang, Y., Liu, M.**, and Hsiang, S. (2022). “Impacting Factors of Work Engagement  in Construction Projects -an Information Theory based Analysis.” Engineering Economy, 32 (9), 1-13.
  2. Bonilla, M.*, Rasdorf, W., Liu, M., Al-Ghandour, M., and He, C. (2022). “Inequity Reduction in Road Maintenance Funding for Municipalities.” Public Works Management & Policy, 28(3), 1-24. https://doi.org/10.1177/1087724X221130047
  3. Jiang, K.*, Liu, M.**, He, C.*, Zhang, Y., Wang, Z.*, and Hsiang, S. (2022). “A Choquet Integral Based Approach to Explore Workforce and Duration Optimization for Construction Projects.” Journal of Civil Engineering and Management.
  4. Scala, N., Schiavone,V., Olivieri, H., Seppänen, O., Alves, T., Liu, M., and 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.” Engineering Management Journal, 35(3), 237- 256.  DOI:10.1080/10429247.2022.2069981
  5. He, C.*, Liu, M.**, Scala, N., Alves, T., and Hsiang, S. (2022). “Prioritizing Collaborative Scheduling Practices Based on Their Impact on Project Performance.” Construction Management and Economics. 40(7-8), 618-637,  DOI: 10.1080/01446193.2022.2048042
  6. Scala, N., Liu, M., Alves, T., and Hawkins, D., and Schiavone, V. (2022). “The Gold Standard: A Collaborative Scheduling Maturity Model.” Engineering, Construction, and Architectural Management, 30(4), 1636-1657. https://doi.org/10.1108/ECAM-07-2021-0609
  7. He, C.*, Liu, M.**, Zhang, Y., Wang, Z.*, Hsiang, S., Chen, G.*, and Chen, J. (2022). “Exploit Social Distancing in Construction Scheduling: Visualize and Optimize Space–Time–Workforce Tradeoff.” ASCE Journal of Management in Engineering, 38(4), 04022027.  https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29ME.1943-5479.0001037
  8. Wang, Z.*, Zhang, Y., Tian, L., and Liu, M.**(2022), “Exploring the Application of Takt Time Planning Method in Construction Management.” Journal of Civil Engineering and Management (in Chinese). 39(02), 157-166.

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:

  • US Patent Number 11720850 awarded to “Rohit Malshe, Liron David Yedidsion, Abhilasha Prakash Katariya, Dipal Patel Gupta, Jin Ye, Natarajan Gautam (2023) Dynamic package selection algorithm for delivery”.
  • 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:

  • Gautam, N. and Geunes, J.P. (2023) Analysis of Real-Time Order Fulfillment Policies: When to Dispatch a Batch? INFORMS Service Science, https://doi.org/10.1287/serv.2022.0042
  • 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

Degrees:

  • 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
  • Environmental photochemistry of organic matter 
  • Formation and control of water treatment byproducts 
  • Wastewater surveillance for substance use assessment

Our group combines collaborative field sampling, organic trace analysis, and data analytics tools to study chemical processes in natural and engineered aquatic systems. Our research primarily focuses on the occurrence and fate of organic micropollutants in surface waters and groundwater, the impacts of harmful algal blooms and lake browning on organic matter photochemistry, and the formation and control of byproducts during water treatment and reuse. Our team also develops analytical methods based on high-resolution mass spectrometry to support substance use assessment through wastewater surveillance in New York. 

Honors:

  • Expanding Chemistry in SETAC Award, Society of Environmental Toxicology & Chemistry (2023) 
  • 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:

  • Vogel, E. J.; Neyra, M.; Larsen, D. A.; Zeng, T., Target and nontarget screening to support capacity scaling for substance use assessment through a statewide wastewater surveillance network in New York. Environmental Science & Technology 2024, 58 (19), 8518-8530. 
  • Wasswa, J.; Perkins, M.; Matthews, D. A.; Zeng, T., Characterizing the impact of cyanobacterial blooms on the photoreactivity of surface waters from New York lakes: A combined statewide survey and laboratory investigation. Environmental Science & Technology 2024, 58 (18), 8020-8031. 
  • Pu, C.; Zeng, T., Comparative evaluation of chemical and photolytic denitrosation methods for chemiluminescence detection of total N-nitrosamines in wastewater samples. Environmental Science & Technology 2023, 57 (19), 7526-7536. 
  • Wang, S.; Basijokaite, R.; Murphy, B. L.; Kelleher, C. A.; Zeng, T., Combining passive sampling with suspect and nontarget screening to characterize organic micropollutants in streams draining mixed-use watersheds. Environmental Science & Technology 2022, 56 (23), 16726-16736. 
  • 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.  

Teng Zhang

Degree(s):

  • 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
  • Smart materials
  • Mechanics of morphing
  • Mechanics of instabilities
  • Mechanics of interfaces

Dr. Zhang’s 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 engages in highly interdisciplinary works, such as food design, smart materials, and biofilms. Examples of ongoing 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
  • Mechanics of smart magnetic materials and structures

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:

  • Gabriel Alkuino, and Teng Zhang. Physics-based discrete models for magneto-mechanical metamaterials. Journal of the Mechanics and Physics of Solids (2024): 105759.
  • Guangchao Wan, Samuel J. Avis, Zizheng Wang, Xueju Wang, Halim Kusumaatmaja, and Teng Zhang. Finding transition state and minimum energy path of bistable elastic continua through energy landscape explorations. Journal of the Mechanics and Physics of Solids 183 (2024): 105503.
  • Danli Luo, Aditi Maheshwari, Andreea Danielescu, Jiaji Li, Yue Yang, Ye Tao, Lingyun Sun Guanyun Wang, Shu Yang, Teng Zhang, Lining Yao. Autonomous self-burying seed carriers for aerial seeding. Nature 614, no. 7948 (2023): 463-470.
  • 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.
  • 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.

Jianshun “Jensen” Zhang

Degrees

  • 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 Engineering, Volume 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 Sustainability: 12, Issue 21, 10.3390/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 Environment, 160, [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

Degree:

  • 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

Degree:

  • 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

Degree(s):

  • 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.

Degree(s):

  • 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.

Honors:

  • 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

Degrees:

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

Research Interests:

  • AI
  • Biometrics
  • Big Data
  • System & Web 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

Selected Publications

  • “Game Theory based Cyber-Insurance to Cover Potential Loss from Mobile Malware Exploitation” Li Wang, S. SITHARAMA IYENGAR, AMITH K. BELMAN, PAWEŁ ŚNIATAŁA, VIR PHOHA, CHANGSHENG WAN ACM Digit. Threat.: Res. Pract., Vol. 2, No. 2, Article 9, Publication Date: April 2021
  • “Authentication by Mapping Keystrokes to Music: The Melody of Typing” Amith K. Belman, Tirthankar Paul, Li Wang, S. S. Iyengar, Pawel Sniatala, Zhanpeng Jin Conference: 2020 International Conference on Artificial Intelligence and Signal Processing (AISP) Publication Date: January 2020 
  • “A Very Large Dataset for Typing, Gait and Swipe of the Same Person on Desktop, Tablet and Phone” 
  • Amith K. Belman, Li Wang, S. S. Iyengar, Pawel Sniatala, Robert Wright, Robert Dora, Jacob Baldwin, Zhanpeng Jin, Vir V. Phoha arXiv.org:1912.02736 Publication Date: 19 December 2019 
  • “A Survey on Gait Recognition” Changsheng Wan, Li Wang, Vir V. Phoha ACM Computing Surveys Volume 51Issue 5Article No.: 89pp 1–35 Publication Date: 29 August 2018 

Pramod K. Varshney

Degree(s):

  • Ph. D. (Illinois) 1976

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
  • Chancellor’s Citation for Lifetime Achievement, Syracuse University, 2023

Selected Publications:

Books

  • 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 C., Wang Z., Wang X., and Varshney, P.K, “COMIC: An unsupervised change detection method for heterogeneous remote sensing images based on copula mixtures and Cycle-Consistent Adversarial Networks”, Elsevier Information Fusion, 2023
  • Dwivedi AK, Chaudhari S, Varshney N and Varshney, P. K., “Performance Analysis of LEO Satellite-Based IoT Networks in the Presence of Interference”, IEEE Internet of Things Journal, 2023
  • Li, C., Li, G., Wang, X. and Varshney, P.K., “A Copula-Based Method for Change Detection with Multi-sensor Optical Remote Sensing Images”, IEEE Trans. on Geoscience and Remote Sensing, September, 2023
  • Joseph, G., Zhong, C., Gursoy, M.C., Velipasalar, S. and Varshney, P.K., “Scalable and decentralized algorithms for anomaly detection via learning-based controlled sensing”, IEEE Trans. on Signal and Information Processing over Networks., Early Access, 2023
  • Zhang, G., Yi, W., Varshney, P.K., and Kong, L., “Direct Target Localization With Quantized Measurements in Noncoherent Distributed MIMO Radar Systems”, IEEE Trans. on Geoscience and Remote Sensing, pp. , Apr, 2023
  • Quan, C., Sriranga, N., Yang, H., Han, Y.S., Geng, B., and Varshney, P.K., “Efficient Ordered-Transmission Based Distributed Detection under Data Falsification Attacks”, IEEE Signal Process Letters, pp. 145 – 149, Feb, 2023
  • Hakansson, V.W., Venkategowda, N.K.D., Werner, S., and Varshney, P.K., “Optimal Scheduling of Multiple Spatiotemporally Dependent Observations for Remote Estimation Using Age of Information”, IEEE Internet of Things Journal, pp. 20308 – 20321, Oct, 2022
  • Sun, J., Yi, W., Varshney, P.K., and Kong, L., “Resource Scheduling for Multi-Target Tracking in Multi-Radar Systems With Imperfect Detection”, IEEE Trans. Signal Process, pp. 3878 – 3893, Jul, 2022
  • Lu, R., Chen, B., Sun, J., Chen, W., Wang, P., Chen, Y., Liu, H., and Varshney, P. K., “Heterogeneity-Aware Recurrent Neural Network for Hyperspectral and Multispectral Image Fusion”, IEEE Journal of Selected Topics in Signal Processing, pp. 649 – 665, Jun, 2022
  • 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

Degrees:

  • 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.

Honors/Awards:

  • 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

Degree:

  • Ph.D. Computer Science, Georgia Tech

Lab/ Center/ Institute affiliation:

Full Stack Security Lab (FSSL)

Areas of Expertise:

  • Cyber-security and privacy
  • Systems security
  • Decentralized systems and blockchains
  • Cryptocurrencies and finance security
  • Applied formal methods and software testing

I am interested in the intersection between cybersecurity and systems. My research mission is to bring systems security and efficiency to large-scale, emerging/evolving infrastructures and applications. 1) On the cyber-security front, I am interested in applying formal methods, protocol analysis, automated program analysis, and software testing techniques to discover vulnerabilities, detect attacks, and design secure systems. I am also interested in the security-oriented measurement of large-scale systems. 2) On the systems front, I am interested in workload analysis, benchmarking, design of optimization schemes and middleware in various host systems. 

My recent research focuses on decentralized systems like public blockchains. I tackle the systems security/efficiency challenges at different blockchain layers, including application-level DeFi protocol, smart contracts, down to the systems-level consensus implementations, P2P networking, and web3.0 infrastructures. I am particularly interested in discovering and fixing design flaws in blockchains and DeFi applications using formal methods. My recent research on blockchain mempool security is well-recognized in the Ethereum/blockchain developer community. Besides, I am developing and disseminating blockchain educational materials. 

In the past, I worked on confidential computing, trusted execution environments, applied privacy-preserving protocols, and cloud security. 

Honors and Awards:

  • Ethereum Foundation Academic Grant Awardee, 2023 
  • Ethereum Foundation Academic Grant Awardee, 2022 
  • Air Force Research Lab (AFRL) Visiting Faculty Research Award, 2017 
  • Best Paper Award, 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2015 
  • Best Paper Award, 5th International Conference on Cloud Computing, 2012 
  • Tung’s Oriental Scholarship, Tung’s Oriental, 2008 

Selected Publications:

  • USENIX Security’24: “Understanding Ethereum Mempool Security under Asymmetric DoS by Symbolized Stateful Fuzzing”, Yibo Wang, Yuzhe Tang, Kai Li, Wanning Ding, Zhihua Yang. 
  • WWW’24: “Characterizing Ethereum Upgradable Smart Contracts and Their Security Implications”, AR=20.2%, Xiaofan Li, Jin Yang, Jiaqi Chen, Yuzhe Tang, Xing Gao.  
  • CCS’21: “DETER: Denial of Ethereum Txpool sERvices”, AR=22%, Kai Li, Yibo Wang, Yuzhe Tang.  
  • NDSS’21: “As Strong As Its Weakest Link: How to Break (and Fix) Blockchain DApps at RPC Service”, AR=15.2%, Kai Li, Jiaqi Chen, Xianghong Liu, Yuzhe Tang, X. Wang, X. Luo.  
  • IMC’21: “TopoShot: Uncovering Ethereum’s Network Topology Leveraging Replacement Transactions”, AR=28%, Kai Li, Yuzhe Tang, Jiaqi Chen, Yibo Wang, Xianghong Liu.  
  • FSE’21: “iBatch: Saving Ethereum Fees via Secure and Cost-Effective Batching of Smart-Contract Invocations”, AR=24.5%, Yibo Wang, Qi Zhang, Kai Li, Yuzhe Tang, Jiaqi Chen, X. Luo, T. Chen. 

Svetoslava Todorova

Degrees:

  • 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

Lab/ Center/ Institute affiliation:

  • Center of Excellence in Environmental and Energy Systems (SyracuseCoE)
  • Program for the Advancement of Research on Conflict Resolution (PARCC)

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 focuses on using field and analytical approaches to study the fate and transport of mercury in aquatic ecosystems and develop technologies to mitigate mercury contamination. I am also working on creating low-cost sensors and passive sampling methodologies to help disadvantaged and underfunded communities, as well as developing countries, monitor water and air quality.

My previous engineering practice included designing urban water infrastructure, landfills, and assessing contaminated sites. I was part of a team addressing contaminant issues from the Deepwater Horizon incident in the Gulf of Mexico in 2010. Additionally, I am involved in international policymaking related to the sound management of chemicals and wastes through the UNEP Minamata Convention on Mercury.

Professional Registrations and Certifications:

  • EnvisionTM Sustainability Professional (ENV SP), 2014
  • Board Certified Environmental Engineering Member (BCEEM), 2024

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

Todorova, S. Using Simulation as an Experiential Learning Tool for Enhancing Students Learning in Environmental Engineering. Proceedings of the 2019 IEEE Global Engineering Education Conference (EDUCON), p. 1412.

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).

Radhakrishna (Suresh) Sureshkumar

Degrees:

  • 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

Experience:

  • 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

Honors:

  • 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

Degree:

  • 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

Degrees:

  • 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
  • Modal Analysis 

Dr. Sun’s research interests focus on understanding the underlying physics of fluid flows and designing physics-driven control strategies using high-fidelity numerical simulations, 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, the design of effective control strategies can be challenging. Dr. Sun’s research focuses on uncovering the underlying physics of complex fluid flows using the cutting-edge techniques of modal analysis, such as modal decomposition, stability analysis, and resolvent analysis. The insights obtained from these analyses provide guidance for physics-driven control designs. 

Honors and Awards:

  • Excellence in Graduate Education Faculty Recognition Award, Syracuse University, 2025
  • AFOSR Young Investigator Award, 2024
  • Amelia Earhart Fellow, Zonta International, 2016

Selected Publications:

  • Islam, M. R. and Sun, Y., “Identification of cross-frequency interactions in compressible cavity flow using harmonic resolvent analysis,” J. Fluid Mech., Vol. 1000, A13, 2024.
  • Yeung, M., Gaitonde, D. V., and Sun, Y., “High-speed microactuation in a supersonic dual-stream jet flow,” J. Fluid Mech., Vol. 998, A53, 2024.
  • Thakor, M., Sun, Y., and Gaitonde, D. V., “Responses to disturbance of supersonic shear layer: input-output analysis,” Phys. Rev. Fluids, Vol. 9, pp. 084603, 2024.
  • Thakor, M., Seh, K. H., Gladson, S. R., Fernandez, M. L., Ivany L. C., Green, M., and Sun, Y., “Effects of annulation on low-Reynolds-number flows over an orthocone,” Theor. Comput. Fluid Dyn., Vol. 37, pp. 357-374, 2023.
  • Yao, H., Sun, Y., and Hemati, M. S., “Feedback control of transitional shear flows: sensor selection for performance recovery,” Theor. Comput. Fluid Dyn., 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,” J. Fluid Mechanics, Vol. 925, A5, 2021.

Pranav Soman

Degree(s):

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

Degrees:

  • 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

Honors:

  • 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

Degrees:

  • Ph.D. Princeton University
  • B.E. University of Science & Technology of China (USTC)

Areas of Expertise:

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

Lab/Center Affiliation:

  • BioInspired Institute

Current Research:

Shan Research Group (SRG) 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

Honors and Awards:

  • NSF Career Award (2023)
  • Graduate with Great Honor (magna cum laude), USTC (2006) 

Select Publications:

* for corresponding authors. ◦ for co-first authors.

  • C. Zhao, K.T. Wan*, W.L. Shan*, Progressive Adhesion Mechanics of Elastomeric Shells against a Rigid Substrate: from Thin to Thick, Extreme Mechanics Letters, 68:102140, 2024.
  • G. Wan, W.L. Shan*, Pneumatically Tunable Adherence of Elastomeric Soft Hollow Pillars with Non-Circular Contact, International Journal of Solids and Structures, 294:112736, 2024.
  • G. Wan, Y. Tang, K.T. Turner, T. Zhang*, W.L. Shan*, Tunable Dry Adhesion of Soft Hollow Pillars through Sidewall Buckling under Low Pressure, Advanced Functional Materials, 33(2):2209905, 2023.
  • C. Zhao, X. Chen, W.L. Shan*, K.T. Wan*, Adherence of a Hyperelastic Shell on a Rigid Planar Substrate. International Journal of Solids and Structures, 236:111351, 2022.
  • A. Mohammadi Nasab, A. Luo, P. Stampfli, S. Sharifi, K.T. Turner*, W.L. Shan*, Dynamically Tunable Dry Adhesion Through a Subsurface Thin Layer with Tunable Stiffness. Advanced Materials Interfaces, 9(7):2102080, 2022.
  • S. 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, 8:691789, 2021.
  • A. 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, 3:2000166, 2021.
  • A. 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.
  • A. 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
  • M. 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.
  • A. 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.
  • A. Mohammadi Nasab◦, A. Sabzehzar◦, M. Tatari, C. Majidi, W.L. Shan*, A Soft Gripper with Rigidity Tunable Elastomer Strips as Ligaments, Soft Robotics, 2017.
  • A. 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.

Amit K. Sanyal

Degrees:

  • 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:

  • Autonomous Unmanned Systems Laboratory (AUSL) at the Syracuse Center of Excellence

Areas of Expertise:

  • Geometric mechanics and its applications to robotics and control 
  • Geometric control of nonlinear systems 
  • Geometric observer design for nonlinear systems 
  • Guidance, navigation and control of aerospace vehicles 
  • Dynamics and control of autonomous vehicles 

Current Research:

My research develops technologies that increase the safety and reliability of autonomous vehicles and robots working alongside humans. As the roles and uses of robots and autonomous vehicles are growing and expected to grow over the next several years, we need to ensure that they are safe and reliable when deployed for tasks benefitting human society. This is accomplished through design of nonlinearly stable and robust onboard guidance, navigation and control schemes that can be implemented onboard resource-constrained robotic platforms, using commercially available sensors and onboard processors. Research investigations undertaken in my lab include: (1) motion and relative motion estimation of autonomous unmanned aerial and ground vehicles, (2) data-enabled robust and stable control of single and multiple autonomous unmanned vehicles, and (3) spacecraft guidance, navigation and control for Earth-orbiting and deep space missions. 

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 728 (Geometric and Optimal Control)
  • AEE 630 (Spacecraft Dynamics and Control)
  • MAE 628 (Linear Systems)

Honors and Awards: 

  • 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. 
  • 2015 Senior Member, AIAA and IEEE. 
  • 2021 Associate Fellow, AIAA. 
  • 2024 Visiting Faculty Research Fellow, Air Force Research Laboratory. 

Recent Research Awards:

  • CPS: Small: NSF-DST: Autonomous Operations of Multi-UAV Uncrewed Aerial Systems using Onboard Sensing to Monitor and Track Natural Disaster Events, NSF, 3/1/2024 to 2/28/2027, PI, $453,372.
  • Collaborative Research: NRI: Integration of Autonomous UAS in Wildland Fire Management, NSF (with Ohio State), 1/1/2022 to 12/31/2025, PI at Syracuse University, $536,983.
  • A Platform-Independent Flight Management Unit for Small UAS, Akrobotix LLC (flow through from NSF SBIR Phase 1), 2/1/2020 to 04/30/2021, PI, $31,981.
  • Reliable Perception and Control for UAV Navigation in 3D Space, Semiconductor Research Corporation, 2/1/2019 to 1/31/2022, Co-PI, $299,638.
  • Enabling Multimodal Sensing, Real-time Onboard Detection and Adaptive Control for Fully Autonomous Unmanned Aerial Systems, NSF Cyber-Physical Systems, 8/15/2017 to 8/14/2020, Co-PI, $600,000.

Selected Publications:

  1. N. Wang, R. Hamrah, A. K. Sanyal and M. Glauser, “Geometric Extended State Observer on TSE(3) with Fast Finite-Time Stability: Theory and Validation on a Rotorcraft Aerial Vehicle,” under revision for Aerospace Engineering Science and Technology.  
  2. N. Wang, R. Hamrah and A. K. Sanyal, “Robust and H¨older-continuous finite-time stabilization of rigid body attitude dynamics using rotation matrices,” American Control Conference, Toronto, Canada, July 2024.  
  3. A. Dongare, R. Hamrah, and A. K. Sanyal, “Finite-time Stable Pose Estimation on SE(3) using Onboard Optical Sensors,” AIAA SCITECH 2024 Forum, Orlando, FL, Jan 2024.  
  4. M. Bhatt, A. Sanyal, and S. Sukumar, “Asymptotically Stable Optimal Multi-rate Rigid Body Attitude Estimation based on Lagrange-d’Alembert Principle,” Journal of Geometric Mechanics, vol. 15(1), pp. 73-97, 2023.  
  5. H. Eslamiat, N. Wang, R. Hamrah, and A. K. Sanyal, “Geometric Integral Attitude Control on SO(3),” Electronics, vol. 11(18), pn. 2821, 2022.  
  6. P. Cruz, P. Batista, and A. Sanyal, “Design and analysis of attitude observers based on the Lagrange-d’Alembert principle applied to constrained three-vehicle formations,” Advances in Space Research, vol. 69 (11), pp. 4001-4012, 2022.  
  7. M. Bhatt, S. Sukumar, and A. K. Sanyal, “Discrete-Time Rigid Body Pose Estimation Based on Lagrange–d’Alembert Principle,” Journal of Nonlinear Science, vol. 32, pn. 86, 2022.  
  8. A. K. Sanyal, “Data-Driven Discrete-time Control with H¨older-Continuous Real-time Learning,” International Journal of Control, vol. 95(8), pp. 2175-2187, 2022, doi: 10.1080/00207179.2021.1901993; arXiv version available at: https://arxiv.org/abs/2006.05288.  
  9. 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, vol. 95 (4), pp. 1106-1121, 2022, doi: 10.1080/00207179.2020.1841299.  
  10. R. Hamrah, R. R. Warier, and A. K. Sanyal, “Finite-time stable estimator for attitude motion in the presence of bias in angular velocity measurements,” Automatica, vol. 132(10), 2021, doi: 10.1016/j.automatica.2021.109815.  
  11. 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, vol. 42(1), 2019, doi: 10.2514/1.G003653.  
  12. S. P. Viswanathan and A. K. Sanyal, “Adaptive Singularity-Free Control Moment Gyroscopes,” AIAA Journal of Guidance, Control and Dynamics, vol. 41(11), 2018, doi: 10.2514/1.G003545.  
  13. 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.  
  14. A. K. Sanyal and M. Izadi, “Stable Estimation of Rigid Body Motion Based on the Lagrange-d’Alembert Principle,” in Multisensor Attitude Estimation: Fundamental Concepts and Applications, pp. 57-76, 2016, ed.: H. Fourati, CRC Press (Taylor and Francis), FL.  
  15. M. Izadi and A. K. Sanyal, “Rigid Body Pose Estimation based on the Lagrange-d’Alembert Principle,” Automatica, vol. 71(9), pp. 78-88, 2016, doi: 10.1016/j.automatica.2016.04.028. 
  16. S. P. Viswanathan, A. K. Sanyal, F. Leve and N. H. McClamroch, “Dynamics and Control of Spacecraft with a Generalized Model of Variable Speed Control Moment Gyroscopes,” ASME Journal of Dynamic Systems, Measurement and Control, vol. 137(7), paper 071003, 2015, doi: 10.1115/1.4029626.  
  17. A. K. Sanyal and J. Bohn, “Finite Time Stabilization of Simple Mechanical Systems using Continuous Feedback,” International Journal of Control, vol. 88(4), pp. 783-791, 2015.  
  18. D. Lee, A. Sanyal, E. Butcher and D. Scheeres, “Almost Global Asymptotic Tracking Control for Spacecraft Body-Fixed Hovering near an Asteroid,” Aerospace Science and Technology, vol. 38, pp. 105-115, 2014.  
  19. M. Izadi and A. K. Sanyal, “Rigid Body Attitude Estimation Based on the Lagrange-d’Alembert Principle,” Automatica, vol. 50(10), pp. 2570-2577, 2014.  
  20. A. K. Sanyal and A. Goswami, “Dynamics and Balance Control of the Reaction Mass Pendulum (RMP): A 3D Multibody Pendulum with Variable Body Inertia,” ASME Journal of Dynamic Systems, Measurement and Control, vol. 136(2), paper 021002, 2014.  
  21. A. K. Sanyal and N. Nordkvist, “Attitude State Estimation with Multi-Rate Measurements for Almost Global Attitude Feedback Tracking,” AIAA Journal of Guidance, Control and Dynamics, vol. 35(3), pp. 868-880, 2012.  
  22. A. M. Bloch, P. E. Crouch, N. Nordkvist and A. K. Sanyal, “Embedded geodesic problems and optimal control for matrix Lie groups,” Journal of Geometric Mechanics, vol. 3(2), pp. 197-223, 2011.  
  23. N. A. Chaturvedi, A. K. Sanyal, and N. H. McClamroch, “Rigid Body Attitude Control: Using rotation matrices for continuous, singularity-free control laws,” IEEE Control Systems Magazine, vol. 31(3), pp. 30-51, 2011.  
  24. A. K. Sanyal, N. Nordkvist and M. Chyba, “An Almost Global Tracking Control Scheme for Maneuverable Autonomous Vehicles and its Discretization,” IEEE Transactions on Automatic Control, vol. 56(2), pp. 457-462, 2011.  
  25. A. K. Sanyal, A. M. Bloch, P. E. Crouch, and J. E. Marsden, “Optimal Control and Geodesics on Quadratic Matrix Lie Groups,” Foundations of Computational Mathematics, vol 8(4), pp. 469-500, 2008. 

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

Patents

  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

Publications

  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

Degrees:

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

Lab/Center Affiliations:

  • Syracuse University Infrastructure Institute
  • Transportation Research Board
  • Institute of Asset Management
  • Center for Advanced Infrastructure and Transportation (at Rutgers University)

Areas of Expertise:

  • Infrastructure Asset Management
  • Construction Engineering and Management
  • Sustainable Development
  • Resilience
  • BIM for Infrastructure

Dr. Salman’s research interests lie in the broad area of infrastructure asset management and execution of sustainable repair, rehabilitation, and replacement practices. He has been involved in research projects that focus on various aspects of management of water (drinking water, wastewater, stormwater) pipe networks and transportation systems (e.g., pavement, bridges, rail, airports). Some of his current projects focus on contractual provisions of accelerated bridge construction projects, geolocation of as-built record plans for transportation projects and improving water utility asset management practices in terms of social sustainability. His research is funded by various agencies including the Transportation Research Board, Water Research Foundation, and the New York State Department of Transportation.

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

Honors and Awards:

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

Selected Publications:

*: Current or former graduate student co-author.

  • Najafi, A., Salman, B., Sanaei, P.*, Lojano-Quispe, E.*, Wani, S., Maher, A., Schaefer, R., and Nickles, G. (2024). “Semi-Automated Geometric Feature Extraction for Railway Bridges” Journal of Civil Structural Health Monitoring. https://doi.org/10.1007/s13349-024-00830-9  
  • Ammoury, M.*, and Salman, B. (2024) “Advancing Sustainability and Resilience of Airports through Deployment of New Technologies in the Aftermath of the COVID-19 Pandemic” ASCE OPEN: Multidisciplinary Journal of Civil Engineering, ASCE. https://doi.org/10.1061/AOMJAH.AOENG-002  
  • Alqahtani, D.*, Salman, B., and He, S.* (2024) “An Integrated Sustainability Assessment Framework for Public-Private Partnerships in Highway Projects” Journal of Transportation Engineering, Part A: Systems, Vol. 150, Issue: 7, ASCE. https://doi.org/10.1061/JTEPBS.TEENG-8189  
  • Ammoury, M.*, Salman, B., Caicedo Bastidas, C. E., and Kumar, S. (2023) “Impacts of COVID-19 on bus ridership and recovery trends in Syracuse, NY.” Journal of Transportation Engineering, Part A: Systems, Vol. 149, Issue:2, ASCE. https://doi.org/10.1061/JTEPBS.TEENG-7498  
  • Salman, B. and Gursoy, B.* (2022) “Markov Chain pavement deterioration prediction models for local street networks.” Built Environment Project and Asset Management, Vol:12, No:6, pp. 853-870, Emerald. https://doi.org/10.1108/BEPAM-09-2021-0117
  • AlTami, S. A.* and Salman, B. (2022) “Implementation of IoT-based sensor systems for smart stormwater management.” Journal of Pipeline Systems Engineering and Practice, Vol: 13, Issue: 3, ASCE. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000647  
  • Keskin, B.*, Salman, B., and Koseoglu, O. (2022) “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, Vol. 148, Issue: 5, ASCE. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002271

Ashok S. Sangani

Degree(s):

  • 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).

Utpal Roy

Degree(s):

  • 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

Honors:

  • 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

Degrees:

  • 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 BioInspired Institute

Areas of Expertise:

  • Biomaterials
  • Medical devices
  • Biotechnology
  • Synthetic Biology
  • Bacterial control

Current Research:

Historically, our understanding of bacterial physiology and development of antibiotics have been focused on active planktonic (free-swimming) cells. However, the vast majority of bacteria in nature and medical environments exist in surface-attached biofilms with varying levels of dormancy. With up to 1,000 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 fouling 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 mechanisms of biofilm formation and bacterial dormancy are still not fully understood with many fundamental questions unanswered. Controlling biofilms and dormant cells is also challenging. To address these challenges, we conduct both basic and translational research with specific interests in bacteria-material interactions, novel antifouling materials, new agents for controlling biofilms and dormant cells, synthetic biology for microbial control, and smart and safer medical devices.

Courses Taught:

  • CEN551 Biochemical Engineering
  • BEN301 Biological Principles for Engineers

Honors:

  • Fellow, American Institute for Medical and Biological Engineering (AIMBE), 2022
  • Chancellor’s citation for Faculty Excellence & Scholarly Distinction, Syracuse University, 2018
  • Faculty Excellence Award, School of Engineering & Computer Science, Syracuse University, 2014
  • NSF CAREER Award, 2011-2016
  • College Technology Educator of the Year by the Technology Alliance of Central New York (TACNY), 2010.
  • Early Career Translational Research Award in Biomedical Engineering, 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.

Yikang Xu and Dacheng Ren. “A novel inductively coupled capacitor wireless sensor system for rapid antibiotic susceptibility testing.” Journal of Biological Engineering. 17, Article number: 54 (2023).

72. Sang Won Lee, Erick L. Johnson, J. Alex Chediak, Hainsworth Shin, Yi Wang, K. Scott Phillips and Dacheng Ren. “High-Throughput Biofilm Assay to Investigate Bacterial Interactions with Surface Topographies.” ACS Applied Bio Materials. 5: 3816-3825 (2022).

Sweta Roy, Ali Adem Bahar, Huan Gu, Shikha Nangia, Karin Sauer and Dacheng Ren. “Persister Control by Leveraging Dormancy Associated Reduction of Antibiotic Efflux.” PLOS Pathogens. 17(12): e1010144 (2021).

Sang Won Lee, Joseph Carnicelli, Dariya Getya, Ivan Gitsov, K. Scott Phillips and Dacheng Ren. “Biofilm Removal by Reversible Shape Recovery of the Substrate.” ACS Applied Materials & Interfaces. 13 (15): 17174–17182 (2021)

Sang Won Lee, K. Scott Phillips, Huan Gu, Mehdi Kazemzadeh-Narbat, Dacheng Ren. “How microbes read the map: effects of implant topography on bacterial adhesion and biofilm formation.” Biomaterials. 268: 120595 (2021).

Huan Gu, Sang Won Lee, Joseph Carnicelli, Teng Zhang, and Dacheng Ren. “Magnetically driven active topography for long-term biofilm control”. Nature Communications. 11: Article number: 2211 (2020).

Yikang Xu, Yousr Dhaouadi, Paul Stoodley, and Dacheng Ren, “Sensing the unreachable: challenges and opportunities in biofilm detection”. Current Opinion in Biotechnology. 64: 79-84 (2020).

Farzana Rahman

Degrees:

  • 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

Honors:

  • 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

Degrees:

  • 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

Honors:

  • 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

Degree(s):

  • Ph.D.

Areas of expertise:

  • Green computing
  • Neuromorphic computing
  • Machine learning
  • Distributed systems
  • Explainable AI

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:

Dr. Qinru Qiu received her PhD in Electrical Engineering from the University of Southern California. She is currently a Distinguished Professor in the Department of Electrical Engineering and Computer Science at Syracuse University. Her research interests include neuromorphic computing, machine learning, and energy efficient computing. She served/serves as an associate editor for several IEEE/ACM journals including IEEE TNNLS, IEEE CAS Magazine, IEEE TCDS, IEEE TCAD, IEEE TC-CS, and Frontier on Neuroscience on Neuromorphic Engineering. She also served/serves on the organization committee and technical program committee of many IEEE/ACM conferences. Dr. Qiu is a recipient of the NSF CAREER award in 2009, IEEE Region 1 Technological Innovation award in 2020, ACM Distinguished Member in 2022, and Distinguished Lecturer of the IEEE CEDA Society (2023-2024). She is a Fellow of IEEE.

Courses Taught:

  • VLSI Design
  • Computer architecture

Honors:

  • Distinguished Professor
  • IEEE fellow
  • CEDA Distinguished Lecturer (2023 – 2024)
  • IEEE CAS Magazine Best Associate Editors (2023)
  • Chancellor’s Citation for Faculty Excellence and Scholarly Distinction (2023)
  • IEEE Circuit and System Magazine Best Associate Editors 2022
  • ACM Distinguished Member (2022)
  • IEEE Region 1 Technological Innovation (Academic) Award (2020)
  • ACM Recognition of Service Award (2019)
  • ACM SIGDA Distinguished Service Award (2011)
  • NSF Career Award (2009)
  • American Society for Engineering Education (ASEE) Summer Research Faculty Fellowship (2007)

Selected Publications:

1. B. Wang, Y. Ma, and Q. Qiu, “Prompt-based Domain Incremental Learning with Modular Classification Layer,” European Conference on Artificial Intelligence (ECAI), 2024.

2. N. Lin, J. Chen, R. Zhao, Y. He, K. Wong, Q. Qiu, Z. Wang, J J. Yang, “In-memory and in-sensor reservoir computing with memristive devices,” APL Machine Learning, 2024.

3. J. Liu, Y. Bu, and Q. Qiu, “Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling,” International Conference on Learning Representations (ICLR), 2024.

4. Z. Zhang, J. Jing, and Q. Qiu, “SOLSA: Neuromorphic Spatiotemporal Online Learning for Synaptic Adaptation,” to appear on 29th Asia and South Pacific Design Automation Conference (ASP-DAC), 2024.

5. Y. Bu, J. Liu, and Q. Qiu, “Predictive Temporal Attention on Event-based Video Stream for Energy-efficient Situation Awareness,” International Green and Sustainable Computing (IGSC), 2023.

6. Q. Huang, C. Luo, S. Khan, A. B. Wu, H. Li, and Q. Qiu, “Multi-agent Cooperative Games Using Belief Map Assisted Training,” European Conference on Artificial Intelligence (ECAI), 2023.

Quinn Qiao

Degrees:

  • 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

Center Affiliation: NSF IUCRC Center for Solid-State Electric Power Storage (CEPS)

Research Interests:

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

Dr. Quinn Qiao is a professor in the department of mechanical and aerospace engineering and an affiliate professor in the department of electrical engineering and computer science at Syracuse University. He is the site director for the NSF Industry University Cooperative Research Center (IUCRC) for Solid State Electric Power Storage (CEPS), and SU campus lead for NSF Engine project. Before moving to Syracuse University, he was the Harold C. Hohbach Professor of Electrical Engineering at South Dakota State University and the Director of the U.S. Economic Development Center at the University. He has also been working on batteries (lithium ion, lithium metal, solid state, etc.), solar cells, and biosensors. He has published more than 300 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, IEEE Sensors Journal, IEEE Transactions on Electron Devices, IEEE Journal of Photovoltaics, IEEE Electron Device Letters, etc. He has more than 16,200 citations on Google Scholar and a H-index of 69.

Honors:

  • 2019 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:

Sung-Doo Baek, Wenhao Shao, Weijie Feng, Yuanhao Tang, Yoon Ho Lee, James Loy, William B Gunnarsson, Hanjun Yang, Yuchen Zhang, M Bilal Faheem, Poojan Indrajeet Kaswekar, Harindi R Atapattu, Jiajun Qin, Aidan H Coffey, Jee Yung Park, Seok Joo Yang, Yu-Ting Yang, Chenhui Zhu, Kang Wang, Kenneth R Graham, Feng Gao, Quinn Qiao, L Jay Guo, Barry P Rand, Letian Dou, Grain engineering for efficient near-infrared perovskite light-emitting diodes, Nature Communications volume 15, Article number: 10760 (2024).

Zeyu Chen, Fan Wu, Rajesh Pathak, Lu Chen, Jinxin Bian, Sally Mabrouk, Jeffrey W Elam, Quinn Qiao, In Situ Exploration of Dipole Field Effects on Weak Hysteresis in 3D/2D Perovskites, Adv. Electron. Mater. 10, 2400107, 2024.

Tarif Anam, Md Tawabur Rahman, Liang Dong, Quinn Qiao, Low-Temperature Detection of Carbon Monoxide With Enhanced Sensitivity Using Ag-Loaded ZnO/rGO-Modeling, Simulation, and Validation, IEEE Sensors Journal, 18827 – 18834, 24 (12), 2024.

Hanjie Lin, Shuya Li, Yuchen Zhang, Chun Chu, Walker MacSwain, Robert W Meulenberg, Quinn Qiao, Dong Zhao, Weiwei Zheng, Epitaxial Growth of Lead-Free Double Perovskite Shell for CsPbX3/Cs2SnX6 (X = Cl, Br, and I) Core/Shell Perovskite Nanocrystals with Enhanced Photoelectric Properties and Stability, Adv. Funct. Mater. 2024, 34, 2309480.

Jinyu Zhao, Rajesh Pathak, Zhenxin Zhao, Xu Chen, Madan Bahadur Saud, Hansheng Li, Fan Wu, Quinn Qiao, Jeffrey W Elam, Xiaomin Wang, Advanced nano-bifunctional electrocatalyst in Li-air batteries for high Coulombic efficiency, Green Chem., 2023,25, 10182-10208.

Quasi‐homojunction organic nonfullerene photovoltaics featuring fundamentals distinct from bulk heterojunctions, Yifan Wang, Michael B Price, Raja Sekhar Bobba, Heng Lu, Jingwei Xue, Yilin Wang, Mengyang Li, Aleksandra Ilina, Paul A Hume, Boyu Jia, Tengfei Li, Yuchen Zhang, Nathaniel JLK Davis, Zheng Tang, Wei Ma, Quinn Qiao, Justin M Hodgkiss, Xiaowei Zhan, Advanced Materials 34 (50), 2206717, 2022.

Yifan Wang, Michael B Price, Raja Sekhar Bobba, Heng Lu, Jingwei Xue, Yilin Wang, Mengyang Li, Aleksandra Ilina, Paul A Hume, Boyu Jia, Tengfei Li, Yuchen Zhang, Nathaniel JLK Davis, Zheng Tang, Wei Ma, Quinn Qiao, Justin M Hodgkiss, Xiaowei Zhan, Simultaneously enhancing exciton/charge transport in organic solar cells by an organoboron additive, Advanced Materials 34 (42), 2205926, 2022.

M Bilal Faheem, Bilawal Khan, Jaweria Z Hashmi, Abiral Baniya, WS Subhani, Raja Sekhar Bobba, Abdullah Yildiz, Quinn Qiao, Insights from scalable fabrication to operational stability and industrial opportunities for perovskite solar cells and modules, Cell Reports Physical Science 3 (4), 2022

Rajesh Pathak, Ke Chen, Fan Wu, Anil U Mane, Ratnakumar V Bugga, Jeffrey W Elam, Quinn Qiao, Yue Zhou, Advanced strategies for the development of porous carbon as a Li host/current collector for lithium metal batteries, Energy Storage Materials 41, 448-465, 2021

Wei He, Ke Chen, Rajesh Pathak, Matthew Hummel, Khan Mamun Reza, Nabin Ghimire, Jyotshna Pokharel, Shun Lu, Zhengrong Gu, Qiquan Qiao, Yue Zhou, High-mass-loading Sn-based anode boosted by pseudocapacitance for long-life sodium-ion batteries, Chemical Engineering Journal 414, 128638, 2021.

Zhenxin Zhao, Zonglin Yi, Huijun Li, Rajesh Pathak, Xiaoqin Cheng, Junliang Zhou, Xiaomin Wang, Qiquan Qiao, Understanding the modulation effect and surface chemistry in a heteroatom incorporated graphene-like matrix toward high-rate lithium–sulfur batteries, Nanoscale 13 (35), 14777-14784, 2021

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

Degree:

  • 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

Honors and Awards:

  • Fellow of: AAAS; AAIA; IEEE; NAI; SDPS 
  • ACM Distinguished Scientist 
  • IEEE Computer Society Distinguished Visitor (2024-2026) 
  • ACM Distinguished Speaker (2012-2015) 
  • IEEE Region 1 Technological Innovation  Award, 2017 

Selected Publications:

  • F. Chen, J. Xin and V. V. Phoha, “SSPRA: A Robust Approach to Continuous Authentication Amidst Real-World Adversarial Challenges,” in IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 6, no. 2, pp. 245-260, April 2024, doi: 10.1109/TBIOM.2024.3369590 
  • Jingyu Xin, Vir V. Phoha, and Asif Salekin. 2022. Combating False Data Injection Attacks on Human-Centric Sensing Applications. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6, 2, Article 83 (July 2022), 22 pages. https://doi.org/10.1145/3534577 
  • Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, and Reza Zafarani. 2022. “This is Fake! Shared it by Mistake”:Assessing the Intent of Fake News Spreaders. In Proceedings of the ACM Web Conference 2022 (WWW ’22). Association for Computing Machinery, New York, NY, USA, 3685–3694. https://doi.org/10.1145/3485447.3512264 
  • Fallahi, A., Phoha, V.V. (2021). Adversarial Activity Detection Using Keystroke Acoustics. In: Bertino, E., Shulman, H., Waidner, M. (eds) Computer Security – ESORICS 2021. ESORICS 2021. Lecture Notes in Computer Science(), vol 12972. Springer, Cham. https://doi.org/10.1007/978-3-030-88418-5_30 
  • Xinyi Zhou, Atishay Jain, Vir V. Phoha, and Reza Zafarani. 2020. Fake News Early Detection: A Theory-driven Model. ACM Digital Threats 1, 2, Article 12 (June 2020), 25 pages. https://doi.org/10.1145/3377478 
  • B. Li, W. Wang, Y. Gao, V. 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. 

Susan Older

Degrees:

  • 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:

Textbook

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

Articles

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.

Dawit Negussey

Degree:

  • 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

Degree(s):

  • 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

Areas of Expertise:

  • Neural Networks
  • Evolutionary Algorithms
  • Bioinformatics
  • Reinforcement Learning
  • Anomaly Detection

Prof. Mohan has been conducting research on neural network algorithms and applications since 1990.  He has also been a long-term contributor to the field of Evolutionary Algorithms, including Genetic Algorithms and Particle Swarm Optimization.  He collaborates actively with researchers in the sciences, particularly on Bioinformatics research.  His prior research also includes automated reasoning, network science, and anomaly detection algorithms (with financial and cybersecurity applications).  His group’s current research topics include the automated design of objects (optimizing desired properties), the analysis of behaviors of autonomous individuals in networks, explainable reinforcement learning using Learning Classifier Systems, and code stylometry (to detect authorship). 

Honors:

  • IEEE Region 1 Technological Innovation (Academic) Award (“For development of novel algorithms in computational intelligence”), 2019 
  • Distinguished Scholar Award, International Society of Applied Intelligence, July 2011.

Selected Publications:

Books: 

  • Anomaly Detection Principles and Algorithms (K. Mehrotra, C. K. Mohan, and H. Huang), Springer, 2017 
  • Frontiers of Expert Systems: Reasoning with limited knowledge (C. K. Mohan), Kluwer, 2000 
  • Elements of Artificial Neural Networks (K. Mehrotra, C.K. Mohan and S. Ranka), MIT Press, 1997 

Recent Papers: 

  • “Structural Optimization with Isogeometric Representation using an Evolutionary Approach” (S. Kalia, N. Padhye, and C. Mohan), in Proc. Genetic and Evolutionary Computation Conference (GECCO), 2024. 
  • “Learning-Based Resource Management in Integrated Sensing and Communication Systems” (Z. Lu, M.C. Gursoy, C. Mohan, and P. Varshney), IEEE Conference on Computer Communications (INFOCOM) Workshop, 2024. 
  • “Accelerating Quantum Chemistry Calculations: Machine Learning for Efficient Evaluation of Electron-Repulsion Integrals” (N. Rodrigues, N. Spanedda, C. Mohan, and A. Chakraborty),  International Journal of Nuclear and Quantum Engineering, 18(3), 2024. 
  • “Dictionary Attack on IMU-based Gait Authentication” (R. Kumar, C. Isik, and C. Mohan), Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023. 

Young B. Moon

Degree(s):

  • 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 Artificial Intelligence and Machine Learning. He has had extensive interactions with industry and has published over 130 journal and conference publications. Dr. 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). He is active in numerous professional organizations such as INCOSE, ABET, SME, ASME, ASEE, and IFIP. He has served as a Commissioner for ABET’s Engineering Accreditation Commission and is serving on ABET’s Board of Delegates and Engineering Area Delegation. A Fulbright Scholar, he has also held visiting positions in various organizations across the globe.

Honors and Awards:

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

Selected Publications:

Prasad R., Seyed, S.A.Z. and Y.B. Moon, “Recovery systems architecture for cyber-manufacturing systems against cyber-manufacturing attacks,” Manufacturing Letters, Vol. 31, pp. 851–860, The 51st SME North American Manufacturing Research Conference (NAMRC 51), New Brunswick, NJ, June 12–16, 2023.

Espinoza-Zelaya, C. and Y.B. Moon, “Framework for enhancing the operational resilience of cyber-manufacturing systems against cyber-attacks,” Manufacturing Letters, Vol. 31, pp. 843–850, The 51st SME North American Manufacturing Research Conference (NAMRC 51), New Brunswick, NJ, June 12–16, 2023.

Prasad R. and Y.B. Moon, “Comprehensive Analysis of Cyber-Manufacturing Attacks using a Cyber-Manufacturing Testbed,” Proceedings of the ASME International Mechanical Engineering Congress and Exposition, Columbus, OH, October 30–November 3, 2022.

Espinoza-Zelaya, C. and Y.B. Moon, “Assessing Severity of Cyber-Attack Threats against Cyber-Manufacturing Systems,” Proceedings of the ASME International Mechanical Engineering Congress and Exposition, Columbus, OH, October 30–November 3, 2022.

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

Degrees:

  • 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

Honors:

  • 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

Degrees: 

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

Education:

       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

Degree:

  • 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

Degree(s):

  • 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)

Honors:

  • 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

Degrees/Post-doc:

  • 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.

Honors:

  • 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

Degrees

  • 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.

Honors

  • 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

Degrees:

  • 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.

Honors:

  • 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:

Shan, T. and Lui, E.M. “Energy-based design of buckling-restrained steel braced frames for concurrent occurrences of earthquake and wind,” CivilEng, 2024, 5, 343-377 (DOI: https://doi.org/10.3390/civileng5020018)

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

Education:

  • 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

Degree(s):

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).

Areas of Expertise:

  • Theory of Computing
  • Graphs and Combinatorics
  • Computer Science Education
  • History of Computing

I am interested in investigating, via mathematical means, the resources used (e.g., time, memory, no. of queries etc.) and the strategies required for solving problems that arise within a computing (e.g., machine learning etc.) context. In my prior studies, I used methods from mathematical logic (e.g., compatibility theory), discrete mathematics (e.g., combinatorial and algorithmic methods for graphs) and automata (e.g., omega automata) in my investigation. I am also interested in incorporating and integrating my expertise in computer science education (e.g. curriculum design and development, undergraduate research etc.) and, in the interplay between the history of computing and education where I find them crucial in educating future computing professionals and scientists. Regarding undergraduate research, some solution strategies formulated in my work are of interest to our students for studying concrete games, questionnaire design and in data analytic applications.

Courses Taught:

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

Selected Publications:

  1. William I. Gasarch and Andrew C. Y. Lee, On the finiteness of the recursive chromatic number, Annals of Pure and Applied Logic, 93 (1998) 73-81.
  2. Andrew C. Lee, On an application of graph theory to formal learning theory, Congressus Numerantium (160): 183-192, 2003.
  3. Andrew C. Lee, Learning via finitely many queries, Annals of Mathematics and Artificial Intelligence, 44 (4), 401-418, 2005.
  4. Andrew C. Lee, A connection between learning models and secret guessing games, Congressus Numerantium (175): 65-72, 2005
  5. William I. Gasarch and Andrew C. Y. Lee, Inferring answers to queries, Journal of Computer and System Sciences 74 (2008) 490–512.
  6. 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.

Bryan S. Kim

Degree:

  • 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:

  • File and storage systems
  • Computer architecture
  • Operating systems

I am broadly interested in computer systems and particularly focused on data storage systems. System qualities that I care about are performance (how to store and retrieve data fast as hardware scaling stops), reliability (how to ensure the correctness as hardware becomes more error-prone), and scalability (how to scale a system as heterogeneity increases).

Recent Publications:

  • Ziyang Jiao, Xiangqun Zhang, Hojin Shin, Jongmoo Choi, and Bryan S. Kim. The Design and Implementation of a Capacity-Variant Storage System. In USENIX Conference on File and Storage Technologies (FAST), pages 159–176, Feb. 2024
  • Shao-Peng Yang, Minjae Kim, Sanghyun Nam, Juhyung Park, Jin-yong Choi, Eyee Hyun Nam, Eunji Lee, Sungjin Lee, and Bryan S. Kim. Overcoming the Memory Wall With CXL-Enabled SSDs. In USENIX Annual Technical Conference (ATC), pages 601–617, July 2023
  • Jinhyung Koo, Jinwook Bae, Minjeong Yuk, Seonggyun Oh, Jung-Soo Park, Eunji Lee, Bryan S. Kim, and Sungjin Lee. All-Flash Array Key-Value Cache for Large Objects. In Proceedings of the European Conference on Computer Systems (EuroSys), pages 784–799, May 2023
  • Manoj P. Saha, Adnan Maruf, Bryan S. Kim, and Janki Bhimani. KV-SSD: What Is It Good For? In Proceedings of ACM/IEEE Design Automation Conference (DAC), pages 1105–1110, Dec. 2021
  • Junsu Im, Jooyoung Song, Juhyung Park, Eunji Lee, Bryan S. Kim, and Sungjin Lee. Modernizing File System Through In-Storage Indexing. In Proceedings of USENIX Symposium on Operating Systems Design and Implementation (OSDI), pages 75–92, July 2021
  • Bryan S. Kim, Jongmoo Choi, and Sang Lyul Min. Design Tradeoffs for SSD Reliability. In Proceedings of USENIX Conference on File and Storage Technologies (FAST), pages 281–294, Feb. 2019
  • Bryan S. Kim, Hyun Suk Yang, and Sang Lyul Min. AutoSSD: an Autonomic SSD Architecture. In Proceedings of USENIX Annual Technical Conference (ATC), pages 677–689, July 2018
  • Bryan S. Kim and Sang Lyul Min. QoS-aware Flash Memory Controller. In IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), pages 51–62, Apr. 2017

Garrett Ethan Katz

Degrees:

  • 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 and Reasoning
  • Robotic Manipulation and Imitation Learning
  • Neuro-Symbolic Programming
  • Numerical Path Following and Optimization

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 single-pass learning, automated algorithm discovery, and neuro-symbolic robotic control.

Honors and Awards:

  • Best Paper Award at the 18th International Conference on Augmented Cognition at HCII, 2024
  • 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:

  • Liu R, He B, Tahir N, Katz GE. On the Feasibility of Single-Pass Full-Capacity Learning in Linear Threshold Neurons with Binary Input Vectors. In Forty-first International Conference on Machine Learning (ICML). 2024. PMLR.
  • 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, Reggia JA. Using directional fibers to locate fixed points of recurrent neural networks. IEEE Transactions on Neural Networks and Learning Systems. 2017 Aug 24;29(8):3636-46.

Chris E. Johnson

Degree(s):

  • 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

Experience:

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

Degrees:

  • 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

Degree(s):

  • 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

Areas of Expertise:

  • Artificial Intelligence Applications
  • Controls, Modeling, Decision Making
  • Medical Instrumentation
  • Indoor Environmental Systems

Dr. Isik utilizes analytical and artificial intelligence methods to engineering applications in controls, system modeling, signal processing and instrumentation.

Courses Taught:

  • Introduction to ECS, Signals and Systems, Controls, Probability and Statistics 

Honors:

  • 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:

R Kumar, C Isik, C Mohan, Dictionary Attack on IMU-based Gait Authentication, The 16th ACM Workshop on Artificial Intelligence and Security (AISec 2023)

R Kumar, C Isik, VV Phoha, “Treadmill Assisted Gait Spoofing (TAGS): An Emerging Threat to Wearable Sensor-based Gait Authentication”, ACM Journal of Digital Threats: Research and Practice, Article No.: 23, pp 1–17, July 2021

PK Bera, C Isik, “A Data Mining Based Protection and Classification of Transients for Two-Core Symmetric Phase Angle Regulators”, IEEE Access Journal 9, 72937-72948, 2021

PK Bera, C Isik, V Kumar, “Discrimination of Internal Faults and Other Transients in an Interconnected System With Power Transformers and Phase Angle Regulators”, IEEE Systems Journal, VOL 15, ISSUE 3, PP. 3450-3461 July 2020

Ian D. Hosein

Degree(s):

  • 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

Degree:

  • 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

Lab/ Center/ Institute affiliation

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.

Honors and Awards:

  • NSF CAREER Award, 2024
  • Google Research Scholar Award, 2022
  • 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

Selected Publications:

  • A. J. Nafis, O. Chowdhury, and E. Hoque, “VetIoT: On Vetting IoT Defenses Enforcing Policies at Runtime,” Proc. of IEEE Conference on Communications and Network Security (CNS) pp. 1-9, 2023.
  • M. H. Mazhar, L. Li, E. Hoque, and O. Chowdhury, “MAVERICK: An App-independent and Platform-agnostic Approach to Enforce Policies in IoT Systems at Runtime,” Proc. of ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec ’23), 2023.
  • M. Yahyazadeh, S. Y. Chau, L. Li, M. H. Hue, J. Debnath, S. C. Ip, C. N. Li, E. Hoque, and O. Chowdhury, “Morpheus: Bringing The (PKCS) One To Meet the Oracle,” Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security (CCS ’21) (CCS ’21), Association for Computing Machinery, New York, NY, USA, pp. 2474–2496, 2021.
  • M. H. Hue, J. Debnath, K. M. Leung, L. Li, M. Minaei, M. H. Mazhar, K. Xian, E. Hoque, O. Chowdhury, and S. Y. Chau, “All Your Credentials Are Belong to Us: On Insecure WPA2-Enterprise Configurations,” Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security (CCS ’21), Association for Computing Machinery, New York, NY, USA, pp. 1100–1117, 2021.

James (Jay) Henderson

Degree(s):

  • 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:

  • Mechanobiology
  • Biomechanics
  • Shape-memory polymers
  • Tissue engineering
  • Advanced Manufacturing

The Henderson Lab uses expertise in cell biomechanics and mechanobiology, cell and molecular biology, mechanics, imaging, and computational tools to inform the development and application of functional shape-memory materials to enable innovative strategies to study and control mechanobiological and biomechanical aspects of cell and tissue function and repair.

Honors and Awards:

  • 2024 Mentor of the Year, Center for Fellowship and Scholarship Advising (CFSA), Syracuse University.
  • 2017 Excellence in Graduate Education Faculty Excellence Award, The Graduate School, 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

Selected Honors and Awards to Graduate Students:

  • All University Doctoral Prize x 2
  • Outstanding Achievement Award in Graduate Study, Bioengineering x 4
  • NSF Graduate Research Fellowship
  • Orange Circle Award
  • Black Engineer of the Year Award (BEYA) STEM Conference Community Award
  • STEM Fellow x 3

Selected Honors and Awards to Undergraduate Students:

  • Syracuse University Scholar x 2
  • Remembrance Scholar x 2
  • Senior Marshal
  • NSF Graduate Research Fellowship
  • Goldwater Scholar x 2
  • Seinfeld Scholar
  • Karen Hiiemae Outstanding Achievement Award, BMCE
  • Oren Nagasako Award, BMCE
  • George M. Berry Award for Best All-Around Senior, ECS
  • Louis N. DeMartini Award for Outstanding Research, ECS
  • Chancellor’s Citation for Excellence in the category of Excellence in Student Research
  • The Chancellor’s Forever Orange Award
  • Chancellor’s Award for Public Engagement and Scholarship
  • The Earl H. Devoe Prize for Undergraduate Research
  • The Bioengineering Founders Award x 2
  • Upstate Louis Stokes Alliance for Minority Participation (ULSAMP) Undergraduate Research Assistantship x 8
  • LSAMP Outstanding Service and Dedication Award
  • Ronald E. McNair Scholars Program x 3
  • Donofrio Scholar x 3
  • Fulbright Canada-Mitacs Globalink internship
  • Maxwell Citizenship Scholar
  • Gates Millennium Scholars Program
  • Annual Black Engineer of the Year Award (BEYA) STEM Conference Research Award x 2

Selected Publications:

  • Oguntade, Elizabeth; Wigham, Caleb; Owuor, Luiza; Aryal, Ujjwal; O’Grady, Kerrin; Acierto, Anthony; Zha, R Helen; Henderson, James H; Dry and wet wrinkling of a silk fibroin biopolymer by a shape-memory material with insight into mechanical effects on secondary structures in the silk network, Journal of Materials Chemistry B, 12, 26, 6351-6370, 2024
  • Pieri, Katy; Liu, Di; Soman, Pranav; Zhang, Teng; Henderson, James H; Large Biaxial Recovered Strains in Self‐Shrinking 3D Shape‐Memory Polymer Parts Programmed via Printing with Application to Improve Cell Seeding, Advanced Materials Technologies, 8, 9, 2201997, 2023
  • Chen, Junjiang; Sun, Shiyang; Macios, Mark M; Oguntade, Elizabeth; Narkar, Ameya R; Mather, Patrick T; Henderson, James H; Thermally and Photothermally Triggered Cytocompatible Triple-Shape-Memory Polymer Based on a Graphene Oxide-Containing Poly (ε-caprolactone) and Acrylate Composite, ACS Applied Materials & Interfaces, 15, 44, 50962-50972, 2023
  • Chen, Junjiang; Hamilton, Lauren E; Mather, Patrick T; Henderson, James H; Cell-responsive shape memory polymers, ACS Biomaterials Science & Engineering, 8, 7, 2960-2969, 2022
  • Buffington, Shelby L; Paul, Justine E; Ali, Matthew M; Macios, Mark M; Mather, Patrick T; Henderson, James H; Enzymatically triggered shape memory polymers, Acta biomaterialia, 84, 88-97, 2019
  • Wang, Jing; Quach, Andy; Brasch, Megan E; Turner, Christopher E; Henderson, James H; 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, 150-161, 2017
  • Baker, Richard M; Tseng, Ling-Fang; Iannolo, Maria T; Oest, Megan E; Henderson, James H; Self-deploying shape memory polymer scaffolds for grafting and stabilizing complex bone defects: A mouse femoral segmental defect study, Biomaterials, 76, 388-398, 2016
  • Baker, Richard M; Brasch, Megan E; Manning, M Lisa; Henderson, James H; Automated, contour-based tracking and analysis of cell behaviour over long time scales in environments of varying complexity and cell density, Journal of The Royal Society Interface, 11, 97, 20140386, 2014
  • Tseng, Ling-Fang; Mather, Patrick T; Henderson, James H; Shape-memory-actuated change in scaffold fiber alignment directs stem cell morphology, Acta biomaterialia, 9, 11, 8790-8801, 2013
  • Davis, Kevin A; Burke, Kelly A; Mather, Patrick T; Henderson, James H; Dynamic cell behavior on shape memory polymer substrates, Biomaterials, 32, 9, 2285-2293, 2011

M. Cenk Gursoy

Degree(s):

  • 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

Optimization

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:

  • G. Joseph, C. Zhong, M. C. Gursoy, S. Velipasalar, and P. K. Varshney, “Anomaly Detection via Learning-Based Sequential Controlled Sensing,” IEEE Sensors Journal, vol. 24, no. 13, pp. 21025-21037, July 2024.
  • F. Wang, M. C. Gursoy, and S. Velipasalar, “Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy,” IEEE Transactions on Machine Learning in Communications and Networking, vol. 2, pp. 823-840, 2024.
  • M. H. Sulieman, M. Liu, F. Kong, and M. C. Gursoy, “Path Planning for UAVs Under GPS Permanent Faults,” ACM Transactions on Cyber-Physical Systems, 2024.
  • X. Li, Z. Tian, W. He, G. Chen, M. C. Gursoy, S. Mumtaz, and A. Nallanathan, “Covert Communication of STAR-RIS Aided NOMA Networks,” IEEE Transactions on Vehicular Technology, vol. 73, no. 6, pp. 9055-9060, June 2024.
  • Y. Yang, Y. Hu, and M. C. Gursoy, “Energy Efficiency of RIS-Assisted NOMA-Based MEC Networks in the Finite Blocklength Regime,” IEEE Transactions on Communications, vol. 72, no. 4, pp. 2275-2291, April 2024.
  • F. Wang, M. C. Gursoy, and S. Velipasalar, “Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies,” IEEE Transactions on Machine Learning in Communications and Networking, vol. 2, pp. 49-63, 2024.
  • Y. Yang and M. C. Gursoy, “Joint Trajectory Design and Resource Optimization in UAV-assisted Caching-Enabled Networks with Finite Blocklength Transmissions,” Drones, 2024; 8(1):12.
  • Z. Lu and M. C. Gursoy, “Resource Allocation for Multi-target Radar Tracking via Constrained Deep Reinforcement Learning,” IEEE Transactions on Cognitive Communications and Networking, vol. 9, no. 6, pp. 1677-1690, Dec. 2023.
  • G. Joseph, C. Zhong, M. C. Gursoy, S. Velipasalar, and P. K. Varshney, “Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing,” IEEE Transactions on Signal and Information Processing over Networks, vol. 9, pp. 640-654, 2023.
  • 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

Education:

  • 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

Neurophysiology

Human Factors

Software Engineering and Design

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

Prasanta K. Ghosh

Degree(s):

  • 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

Degrees:

  • 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

Lab/ Center/ Institute affiliation:

Areas of Expertise:

  • Foundations of Data Science
  • Coding & Information Theory
  • Lattice Algorithms

Dr. Gandikota’s research delves into the algorithmic principles of data recovery from noise, with an emphasis on its applications in fundamental machine learning problems. His primary objective is to delineate the conditions that enable successful data recovery while also devising efficient algorithms to achieve it.

Honors and Awards:

  • IEEE Senior Member
  • SOURCE RA Grant.
  • CUSE Seed Grant.

Selected Publications:

Zhenyu Gan

Lab/ Center/ Institute affiliation:

  • Dynamic Locomotion and Robotics Lab, Syracuse University
  • Form & Function Focus Group Leader, BioInspired Institute
  • Senior Research Associate, Autonomous Systems Policy Institute

Areas of Expertise:

  • Gait Analysis
  • Legged Locomotion
  • Robotics
  • Multibody Dynamics
  • Trajectory Optimization

Dr. Gan’s general research interests lie at the intersection of robotics and nonlinear dynamics. He enjoys studying systems with interesting dynamical behavior and applying the resulting knowledge to robotic systems such as legged robots and robotic exoskeletons.

Selected Publications:

  • Alqaham, Yasser G., Jing Cheng, and Zhenyu Gan. “Energetic Analysis on the Optimal Bounding Gaits of Quadrupedal Robots.” arXiv preprint arXiv:2303.04861 (Accepted by RA-L 2024).
  • Ding, Jiayu, and Zhenyu Gan. “Breaking symmetries leads to diverse quadrupedal gaits.” IEEE Robotics and Automation Letters (2024).
  • Cheng, Jing, et al. “Practice Makes Perfect: an iterative approach to achieve precise tracking for legged robots.” 2023 American Control Conference (ACC). IEEE, 2023.
  • Gan, Zhenyu, et al. “All common bipedal gaits emerge from a single passive model.” Journal of The Royal Society Interface 15.146 (2018): 20180455.
  • Gan, Zhenyu, et al. “Passive dynamics explain quadrupedal walking, trotting, and tölting.” Journal of computational and nonlinear dynamics 11.2 (2016): 021008.

Makan Fardad

Degree(s):

  • 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.

Honors:

  • 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

Degree(s):

  • 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

Degree:

  • 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

Degrees:

  • 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

Degrees:

  • 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:

  • 2023 IBPSA World Fellow
  • 2023 ASHRAE Distinguished Service Award (DSA)
  • 2023 Best Paper Awards (Journals of Building and Environment, Building Simulations)
  • 2019 NSF CAREER Award
  • 2018 IBPSA-USA Emerging Contributor Award

Select Publications:

Jiang, Z. and Dong, B., 2024. Modularized neural network incorporating physical priors for future building energy modeling. Patterns.

Wang, X. and Dong, B., 2024. Long-term experimental evaluation and comparison of advanced controls for HVAC systems. Applied Energy, 371, p.123706.

Liu, Y. and Dong, B., 2024, January. Modeling urban scale human mobility through big data analysis and machine learning. In Building Simulation (Vol. 17, No. 1, pp. 3-21). Beijing: Tsinghua University Press.

Liu, Y., Dong, B., Hong, T., Olesen, B., Lawrence, T. and O’Neill, Z., 2023. ASHRAE URP-1883: Development and Analysis of the ASHRAE Global Occupant Behavior Database. Science and Technology for the Built Environment, 29(8), pp.749-781.

Deng, Z., Wang, X. and Dong, B., 2023. Quantum computing for future real-time building HVAC controls. Applied Energy, 334, p.120621.

Wang, X., Dong, B. and Zhang, J.J., 2023, February. Nationwide evaluation of energy and indoor air quality predictive control and impact on infection risk for cooling season. In Building Simulation (Vol. 16, No. 2, pp. 205-223). Beijing: Tsinghua University Press.

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 Energy, 278, p.115656.

Wagner, A., O’Brien, W. and Dong, B. eds., 2018. Exploring Occupant Behavior in Buildings: Methods and Challenges. Springer.

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)