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

Research Interests:

  • 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.

Current Research:

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

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

Teaching Interests:

  • Lean Construction Principles and Methods
  • Construction Productivity
  • Construction Equipment and Methods
  • Construction Engineering and Systems

Honors:

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

Selected Publications:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

Research Interests:

  • Water quality
  • Contaminant fate
  • Wastewater surveillance

Current Research:

Our group combines field work, organic trace analytics, and fate process modeling to study organic molecules of environmental and public health significance. We apply high-resolution mass spectrometry and multivariate analysis tools to investigate the occurrence patterns and fate of organic micropollutants in lakes, streams, and groundwater across urban and agricultural landscapes. We are also interested in characterizing the photochemical and redox reactivity of organic matter and its role in contaminant transformation and biogeochemical processes within natural and engineered systems. Lastly, we are participating in wastewater surveillance projects to assess population-level substance consumption patterns and their relations to sociodemographics. We closely work with undergraduate and graduate students and collaborate with investigators and organizations across multiple disciplines.

Courses Taught:

  • CEE 442/642 Treatment Processes in Environmental Engineering
  • CEE 430/630 Environmental Organic Chemistry
  • CEE 571 Water Quality Modeling

Recent Publications:

Wasswa, J.; Driscoll, C. T.; Zeng, T., Contrasting impacts of photochemical and microbial processing on the photoreactivity of dissolved organic matter in an Adirondack Lake watershed. Environmental Science & Technology 2022, 56, (3), 1688-1701. 

Larsen, D. A.; Collins, M. B.; Du, Q.; Hill, D.; Insaf, T. Z.; Kilaru, P.; Kmush, B. L.; Middleton, F.; Stamm, A.; Wilder, M. L.; Zeng, T.; Green, H., Coupling freedom from disease principles and early warning from wastewater surveillance to improve health security. PNAS Nexus 2022, 1, (1), pgac001. 

Wang, S.; Perkins, M.; Matthews, D. A.; Zeng, T., Coupling suspect and nontarget screening with mass balance modeling to characterize organic micropollutants in the Onondaga Lake–Three Rivers system. Environmental Science & Technology 2021, 55, (22), 15215-15226. 

Kurtz, T.; Zeng, T.; Rosario-Ortiz, F. L., Photodegradation of cyanotoxins in surface waters. Water Research 2021, 192, 116804. 

Wilder, M. L.; Middleton, F.; Larsen, D. A.; Du, Q.; Fenty, A.; Zeng, T.; Insaf, T.; Kilaru, P.; Collins, M.; Kmush, B.; Green, H. C., Co-quantification of crAssphage increases confidence in wastewater-based epidemiology for SARS-CoV-2 in low prevalence areas. Water Research X 2021, 11, 100100. 

Wang, S.; Green, H. C.; Wilder, M. L.; Du, Q.; Kmush, B. L.; Collins, M. B.; Larsen, D. A.; Zeng, T., High-throughput wastewater analysis for substance use assessment in central New York during the COVID-19 pandemic. Environmental Science: Processes & Impacts 2020,22, (11), 2147-2161. 

Wasswa, J.; Driscoll, C. T.; Zeng, T., Photochemical characterization of surface waters from lakes in the Adirondack Region of New York. Environmental Science & Technology 2020, 54, (17), 10654-10667. 

Wang, S.; Matt, M.; Murphy, B. L.; Perkins, M.; Matthews, D. A.; Moran, S. D.; Zeng, T., Organic micropollutants in New York lakes: A statewide citizen science occurrence study. Environmental Science & Technology 2020, 54, (21), 13759-13770. 

Teng Zhang

Degree(s):

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

Research Interests:

  • Solid Mechanics
  • Mechanics and multi-physics of soft materials
  • Nano-mechanics
  • Bio-inspired design

Current Research:

Zhang group’s current research goal is to explore the fundamental mechanism of the extraordinary mechanical performances (i.e., high toughness, great fatigue resistance, and strong adhesion) of biomaterials, such as cartilage, heart valves, bones, and mussel plague and to propose the novel design principle of the bio-inspired smart materials. To achieve this goal, we employ multiscale and multiphysics modeling and simulations to understand the mechanics of the key components of biomaterials: hard materials for stiffness, soft materials for stretchability and tough interface for robustness. The current research focuses on:

(1) Hard materials: mechanics of graphene and the general two-dimensional materials.
(2) Soft materials: fracture and excessive deformation of soft materials, including hydrogels, elastomers, and cells.
(3) Interface: strong under-water adhesion and the effect of cavitation and materials failure on the interfacial toughness.

Honors:

  • 2013 Best Teaching Assistance Award of School of Engineering, Brown University

Selected Publications:

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.

Teng Zhang. Understanding and Controlling Hexagonal Patterns of Wrinkles in Neo-Hookean Elastic Bilayer Structures. International Journal of Applied Mechanics (2021): 2150024.

Yi Li, Samuel J. Avis, Junbo Chen, Guangfu Wu, Teng Zhang, Halim Kusumaatmaja, and Xueju Wang. Reconfiguration of multistable 3D ferromagnetic mesostructures guided by energy landscape surveys. Extreme Mechanics Letters (2021): 101428.

Oleh Tovkach, Junbo Chen, Monica M. Ripp, Teng Zhang, Joseph D. Paulsen, and Benny Davidovitch. Mesoscale structure of wrinkle patterns and defect-proliferated liquid crystalline phases. Proceedings of the National Academy of Sciences 117, no. 8 (2020): 3938-3943.

Xiaoxiao Zhang, Patrick T. Mather, Mark J. Bowick, and Teng Zhang. Non-uniform Curvature and Anisotropic Deformation Control Wrinkling Patterns on Tori. Soft matter (2019).

T. A. Engstrom, Teng Zhang*, A. K. Lawton, A. L. Joyner, and J. M. Schwarz*. Buckling without bending: a new paradigm in morphogenesis. Physical Review X8, no. 4 (2018): 041053.

Jianshun “Jensen” Zhang

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

Research Interests

  • 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

Current Research

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.

Courses Taught

  • MEE 416 Mechanical Engineering Lab
  • MAE 552 Building Environmental Measurements and Controls
  • MAE 553 HVAC System Analysis and Design
  • MAE 658 Building Environmental Modeling and Simulations
  • MEE 657 Convective Heat and Mass Transfer
  • ECS 600/ARC 600 Virtual Design Studio for Green Building Systems
  • ECS 600/ARC 500 Research House, a course jointly taught with the faculty of Civil Engineering and School of Architecture on innovative designs of residential houses that are featured on “green” (energy and environmental quality), “lite” (light structure), and “Media” (multi-media communications).
  • ARC 423/623 Advanced Building Systems (guest lecturer)
  • ARC 690 Independent study: Engineering Analyses of Ecological Building Designs (guest lecturer)
  • ARC 500 Living Systems in Architecture and Engineering
  • MAE 995 Graduate Seminar in conjunction with a “Built Environmental Systems” seminar series

Honors

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

Select Publications

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Synergistic Activities

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

Reza Zafarani

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

Research Interests:

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

Current Research:

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:

  • 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:

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

Courses Taught:

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

Pramod K. Varshney

Degree(s):

  • Ph. D. (Illinois) 1976

Lab/Center Affiliation(s):

  • CASE, Director

Research Interests:

  • Distributed sensor networks and data fusion
  • Detection and estimation theory
  • Wireless communications
  • Radar signal processing
  • Physical layer security

Current Research:

There are two broad areas of current research. First deals with fusion of information from a variety of heterogeneous sources. Novel fusion and sensor management algorithms are being developed that enhance system performance as well as conserve system resources such as bandwidth and energy. Typical signal processing tasks are detection, localization, tracking and classification of objects and events. Distributed algorithms based on compressive sensing for these signal processing tasks are also being developed. The second area deals with cognitive networks where network throughput is to be maximized via active sensing and control under a number of system constraints. Security threats such as Byzantines and jamming are being investigated. Mitigation approaches are being developed using game theoretic concepts.

Courses Taught:

  • Detection and estimation theory

Honors:

  • IEEE Fellow 1997
  • Third Millennium Medal IEEE 2000
  • Judith A. Resnik Award IEEE 2012
  • President International Society of Information Fusion 2001.
  • Honorary Doctorate Degree, Drexel University, 2014
  • Distinguished Alumni Award, ECE Department, Univ. of Illinois, 2015

Selected Publications:

Books

K. Varshney, Distributed Detection and Data Fusion, Springer-Verlag, 1997.

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.

Journal Papers

Cao, N., Brahma, S. K., and Varshney, P. K., “Target Tracking via Crowdsourcing: A Mechanism Design Approach,” IEEE Trans. Signal Process., vol. 63, no. 6, pp. 1464-1476, Mar. 15, 2015.

Vempaty, A., He, H., Chen, B., and Varshney, P. K., ” On Quantizer Design for Distributed Bayesian Estimation in Sensor Networks,” IEEE Trans. Signal Process., vol. 62, no. 20, pp. 5359-5369, Oct. 15, 2014.

Chen, H., Varshney, L. R., and Varshney, P. K., ” Noise-Enhanced Information Systems,” Proc. IEEE, vol. 102, no. 10, pp. 1607-1621, Oct. 2014. (Invited)

Wimalajeewa, T., and Varshney, P. K., “OMP Based Joint Sparsity Pattern Recovery Under Communication Constraints,” IEEE Trans. Signal Process., vol. 62, no. 19, pp. 5059-5072, Oct. 1, 2014

Vempaty, A., Tong, L. and Varshney, P. K., “Distributed Inference with Byzantine Data: State-of-the-Art Review on Data Falsification Attacks,” IEEE Signal Process. Mag., vol.30, no.5, pp.65-75, Sept. 2013

Vempaty, A., Varshney, L. R., and Varshney, P. K., “Reliable Crowdsourcing for Multi-Class Labeling using Coding Theory,” IEEE J. Sel. Topics Signal Process., vol. 8, no. 4, pp. 667-679, Aug. 2014

Chen, H., Chen, B. and Varshney, P. K., “A New Framework for Distributed Detection with Conditionally Dependent Observations,” IEEE Trans. Signal Process., vol. 60, no. 3, pp. 1409-1419, Mar. 2012

S. Rawat, P. Anand, H. Chen and P. K. Varshney, “Collaborative Spectrum Sensing in the Presence of Byzantine Attacks in Cognitive Radio Networks,” IEEE Trans. on Signal Process., vol.59, no.2, pp.774-786, Feb. 2011

Masazade, R. Rajagopalan, P. K. Varshney, C. Mohan, G. K. Sendur, and M. Keskinoz, “A Multi-objective Optimization Approach to Obtain Decision Thresholds for Distributed Detection in Wireless Sensor Networks,” IEEE Transactions on Systems, Man, and Cybernetics – Part B, Vol. 40, No. 2, Apr. 2010

Masazade, R. Niu, P. K. Varshney, M. Keskinoz, ”Energy Aware Iterative Source Localization Schemes for Wireless Sensor Networks,” IEEE Trans. Signal Process., vol.58, no.9, pp.4824-4835, Sept. 2010.

Ozdemir, R. Niu, and P. K. Varshney, “Tracking in wireless sensor networks using particle filtering: Physical layer considerations,” IEEE Trans. Signal Process., vol.57, no. 5, pp. 1987-1999, May 2009

Niu, B. Chen, and P. K. Varshney, “Fusion of decisions transmitted over Rayleigh fading channels in wireless sensor networks,” IEEE Trans. Signal Processing, vol. 54, pp. 1018-1027, Mar. 2006.

N. Heo and P. K. Varshney, “Energy-efficient deployment of intelligent mobile sensor networks,” IEEE Trans. Syst., Man, Cybern. A, vol. 35, pp. 78-92, Jan. 2005.

Senem Velipasalar

Degree(s):

  • 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

Research Interests:

  • Computer vision
  • Video/image processing
  • Wireless smart camera networks (Wi-SCaNs)
  • Distributed smart camera systems
  • Mobile camera applications
  • Multi-camera multi-object tracking
  • Video event detection
  • Object recognition
  • Image understanding and multimedia
  • Pattern recognition
  • Detection and estimation
  • Statistical learning
  • Signal processing

Current Research:

Dr. Velipasalar’s primary areas of research are embedded computer vision, mobile camera applications and wireless embedded smart cameras, which combine sensing, processing and communication on a single embedded platform. Dr. Velipasalar has been working on designing resource-efficient algorithms that are suitable for embedded platforms, fall detection, step counting and activity classification with wearable cameras, traffic light detection and alert signal detection with vehicle-mounted cameras, distributed target detection and tracking across overlapping and non-overlapping cameras, and resource allocation strategies and detection of events of interest on embedded smart cameras. Potential uses include military surveillance, public transportation, health care and elder care, traffic systems, and industrial and retail applications.

Lab website: www.vision.syr.edu

Courses Taught:

  • Image and Video Processing
  • Multi-camera Systems
  • Introduction to Embedded System Design
  • Electrical Engineering Fundamentals

Honors/Awards:

  • NSF CAREER Award, 2011
  • 2014 Excellence in Graduate Education Faculty Recognition Award
  • Graduate School All University Doctoral Prize, received by Dr. Velipasalar’s former Ph.D. student Akhan Almagambetov, 2014.
  • Intelligent Transportation Society (ITS) of NY Best ITS Student Essay Award, received by Dr. Velipasalar’s former Ph.D. student Akhan Almagambetov, based on their research on vehicle taillight tracking and alert signal detection, May 2013.
  • The college-wide award for “Applicability of Research to Business and Industry”, 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
  • UNL 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
  • NETAS Scholarship given on highly selective basis to successful engineering students, 1999
  • Sabanci Scholarship for outstanding success at the university entrance examination, 1994
  • The award from Is Bank to the top 70 students, out of about 1 million, in the university entrance examination, 1994

Selected Publications:

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

Yuzhe Tang

Degree:

  • Ph.D. Computer Science, Georgia Tech

Research Interests:

  • System Security: Verifiable database outsourcing, cloud security, applied cryptography, multi-party computation, secure healthcare applications
  • Big-Data Systems: Key-value stores, big-data analytics, graph databases, data streaming
  • Performance: Scalability and elasticity, distributed system tracing, profiling and monitoring, automatic performance optimization, stress testing

Current Research:

Yuzhe Tang’s research interests are in building secure distributed with a current research focus on making modern database trustworthy and applying multi-party computations for federated big-data computation.

Courses Taught:

  • Advanced computer architecture, distributed systems in cloud

Selected Publications:

Yuzhe Tang, Arun Iyengar, Wei Tan, Liana Fong, Ling Liu, B. Palanisamy. “Deferred Lightweight Indexing for Log-Structured Key-Value Stores”, in CCGrid’15, the Best Paper Award

Yuzhe Tang, Ling Liu. “Privacy-Preserving Multi-Keyword Search in Information Networks”, in TKDE’15

Yuzhe Tang, Ting Wang, Ling Liu, Xin Hu, Jiyong Jang. “Lightweight Authentication of Freshness in Outsourced Key-Value Stores”, in ACSAC’14

Yuzhe Tang, Ling Liu, Arun Iyengar. “e-PPI: Locator Service in Information Networks with Personalized Privacy Preservation”, in ICDCS’14

Yuzhe Tang, Bugra Gedik. “Auto-pipelining for Data Stream Processing”, in TPDS’13, Vol 24(12), pp 2344-2354

Yuzhe Tang, Jianliang Xu, Shuigeng Zhou, Wang-Chien Lee, Dingxiong Deng, Yue Wang. “A Lightweight Multi-dimensional Index for Complex Queries over DHTs”, in TPDS’11, Vol 22(12), pp 2046-2054

Yuzhe Tang, Shuigeng Zhou, Jianliang Xu. “LIGHT: A Query-Efficient yet Low-Maintenance Indexing Scheme over DHTs”, in TKDE’10, Vol 22(1), pp 59-75

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

Registration:

  • EnvisionTM Sustainability Professional

Research Interests:

  • Transport, cycling, and bioaccumulation of metals in aquatic environments
  • Sustainable engineering practices in built and natural environments
  • Urban stormwater management
  • Alternative dispute resolution and collaborative decision-making
  • Intergovernmental negotiations

Current Research:

The current focus of my research is on ecosystem-based studies that apply theories from aquatic chemistry, limnology, and microbiology. The scholarly work that I have undertaken concentrated on understanding mercury fate and transport in aquatic ecosystems and developing technologies for mitigating methyl mercury contamination in lakes. My engineering practice encompasses design of urban water infrastructure, landfills, and assessment of contaminated sites. I was part of a team working on contaminant issues associated with the Deepwater Horizon incident in the Gulf of Mexico.

In addition to my scientific and engineering work, I serve as an expert at the United Nations Environmental Program Intergovernmental Negotiations Committee working on the development and implementation of a global mercury treaty (Minamata Convention).

Courses Taught:

  • CEE 341 Introduction to Environmental Engineering
  • CEE 442/642 Treatment Processes in Environmental Engineering
  • CEE 471/671 Environmental Chemistry and Analysis
  • CEE 472/672 Applied and Environmental Microbiology
  • CEE 577 Urban Stormwater Management

Honors:

  • Pool of Experts, United Nations Joint Group of Experts on the Scientific Aspects of Marine Environmental Protection (GESAMP), 2015-current
  • Teaching Excellence Award, College of Engineering and Computer Science, Syracuse University, 2015
  • Member scientist, United Nations Environmental Program Mercury Partnership, 2011- current
  • Outstanding Graduate Student Award, College of Engineering and Computer Science, Syracuse University, 2012
  • New York State Water Environment Federation, N.G. Kaul Memorial Award for achievements in water quality, 2011
  • Chancellor’s Student-Faculty Leadership Group on Sustainability, Syracuse University, 2008
  • American Society of Microbiology General Meeting Award, 2004
  • Phi Beta Delta Award for student with high scholastic achievements, 2002 and 2005
  • U.S. EPA Brownfields Meeting Award, 2000

Selected Publications:

Todorov, D., Driscoll, C.T., and S. Todorova. 2018. Long-term and seasonal hydrologic performance of an extensive green roof. Hydrological Processes 32(16): 2471-2482.

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).

Galicinao, A.G., Auer, M.T., Matthews, D.A., Revsbech, N.P., Todorova, S., Effler, S.W., Driscoll, C.T. Microprofiling and microcosm studies of methylmercury flux inhibition in lake sediments amended with nitrate and oxygen. Submitted to Environmental Science and Technology.

Todorova, S., Driscoll, C.T. 2015. Zooplankton community changes confound the biodilution theory of methylmercury accumulation in a recovering mercury-contaminated lake. Environmental Science and Technology 49(7): 4066-71.

Matthews, D., Babcock, D., Nolan, J., Prestigiacomo, A., Effler, S., Driscoll, C.T., Todorova, S., and K. Kuhr. 2013. Whole-lake nitrate addition for control of methylmercury in mercury-contaminated Onondaga Lake, NY, Environmental Research, special issue on Mercury in Contaminated Sites 125:52-60.

Blackwell, B., Driscoll, C. T., Spada, M., Todorova, S., Montesdeoca, M. 2013. Evaluation of zebra mussles (Dreissena polymorpha) as biomonitors of mercury contamination in aquatic ecosystems, Environmental Toxicology and Chemistry 32(3): 638-43.

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

Todorova, S. and A.M. Costello. 2006. Design of Shewanella-specific 16S rRNA primers and application to analysis of Shewanella in a minerotrophic wetland. Environmental Microbiology 8(3): 426-432.

Todorova, S., Siegel, D., and A.M. Costello. 2005. Microbial Fe(III) reduction in a minerotrophic wetland – geochemical controls and involvement in organic matter decomposition. Applied Geochemistry 20:1120-1130.

Galicinao, A.G., Auer, M.T., Matthews, D.A., Revsbech, N.P., Todorova, S., Effler, S.W., Driscoll, C.T. Microprofiling and microcosm studies of methylmercury flux inhibition in lake sediments amended with nitrate and oxygen. Submitted to Environmental Science and Technology.

Todorova, S., Driscoll, C.T. 2015. Zooplankton community changes confound the biodilution theory of methylmercury accumulation in a recovering mercury-contaminated lake. Environmental Science and Technology 49(7): 4066-71.

Matthews, D., Babcock, D., Nolan, J., Prestigiacomo, A., Effler, S., Driscoll, C.T., Todorova, S., and K. Kuhr. 2013. Whole-lake nitrate addition for control of methylmercury in mercury-contaminated Onondaga Lake, NY, Environmental Research, special issue on Mercury in Contaminated Sites 125:52-60.

Blackwell, B., Driscoll, C. T., Spada, M., Todorova, S., Montesdeoca, M. 2013. Evaluation of zebra mussles (Dreissena polymorpha) as biomonitors of mercury contamination in aquatic ecosystems, Environmental Toxicology and Chemistry 32(3): 638-43.

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

Todorova, S. and A.M. Costello. 2006. Design of Shewanella-specific 16S rRNA primers and application to analysis of Shewanella in a minerotrophic wetland. Environmental Microbiology 8(3): 426-432.

Todorova, S., Siegel, D., and A.M. Costello. 2005. Microbial Fe(III) reduction in a minerotrophic wetland – geochemical controls and involvement in organic matter decomposition. Applied Geochemistry 20:1120-1130.

Todorova, S., Siegel, D., and A.M. Costello. 2005. Microbial Fe(III) reduction in a minerotrophic wetland – geochemical controls and involvement in organic matter decomposition. Applied Geochemistry 20:1120-1130.

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)

Research Interests:

  • Data mining
  • Social network analysis
  • Community detection
  • Applications to social and life sciences

Current Research:

Dr. Soundarajan’s research focuses on the structure of social and other real-world networks. She is interested in a variety of problems related to social network analysis, including community detection, link prediction, and network similarity. She is currently studying how communities change over time and, in particular, the structural factors that influence a community’s evolution. She is also interested in developing methods to obtain accurate samples of large network.

Courses Taught:

  • CIS 675 (Design and Analysis of Algorithms): Fall 2015

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

Research Interests:

  • Computational Fluid Dynamics
  • Flow Control
  • Unsteady Aerodynamics
  • Modal/Non-modal Analysis
  • Data Science

Current Research:

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

Honors:

  • Amelia Earhart Fellow, Zonta International, 2016
  • Travel Award for Excellence in Graduate Research, APS, 2013
  • Excellent Student of Academic Records Scholarship, HUST, 2009-2011

Select Publications:

Liu, Q., Sun, Y., Ukeiley, L. S., Cattafesta, L. N., and Taira, K., “Unsteady control of supersonic turbulent cavity flow based on resolvent analysis,” Journal of Fluid Mechanics, in press, 2021.

Yao, H., Sun, Y., and Hemati, M. S., “Feedback control of transitional shear flows: Sensor selection for performance recovery,” in review, 2020.

Sun, Y., Liu, Q., Cattafesta, L. N., Ukeiley, L. S., and Taira, K., “Resolvent analysis of compressible laminar and turbulent cavity flows,” AIAA Journal (invited), Vol. 58, No. 3, 2020.

Taira, K., Hemati, M. S., Brunton, S. L., Sun, Y., Duraisamy, K., Bagheri, S., Dawson, S. T. M., and Yeh, C-A., “Modal analysis of fluid flows: application and outlook,” AIAA Journal (invited), Vol. 58, No. 3, 2020.

Sun, Y. and Hemati, M. S., “Feedback control for transition suppression in direct numerical simula- tions of channel flow,” Energies (invited), Vol. 12, No. 4217, 2019.

Sun, Y., Liu, Q., Cattafesta, L. N., Ukeiley, L. S., and Taira, K., “Effects of sidewalls and leading-edge blowing on flows over long rectangular cavities,” AIAA Journal, Vol. 57, No. 1, pp. 106-119, 2019.

Zhang, Y., Sun, Y., Arora, N., Cattafesta, L. N., Taira, K., and Ukeiley, L. S., “Suppression of cavity oscillations via three-dimensional steady blowing,” AIAA Journal, Vol. 57, No. 1, pp. 90-105, 2019.

Edstrand, A. M., Sun, Y., Schmid, P. J., Taira, K., and Cattafesta, L. N., “Active attenuation of a trailing vortex inspired by a parabolized stability analysis,” Journal of Fluid Mechanics, Vol. 855, R2, 2018.

Sun, Y., Taira, K., Cattafesta, L. N., and Ukeiley, L. S., “Biglobal instabilities of compressible open cavity flow,” Journal of Fluid Mechanics, Vol. 826, pp. 270-301, 2017

Sun, Y., Taira, K., Cattafesta, L. N., and Ukeiley, L. S., “Spanwise effects on instabilities of compress- ible flow over a long rectangular cavity,” Theoretical and Computational Fluid Dynamics (invited), Vol. 31, Issue 5-6, pp. 555-565, 2017.

Pranav Soman

Degree(s):

Ph.D. Bioengineering (Penn State University)

Research Interests:

  • Tissue engineering
  • Biomaterials
  • Bioprinting

Current Research:

  • Synthesize and characterize hydrogel bioinks with unique properties (for example, conductive hydrogels)
  • Develop theromoplastic spools for commercial 3D printers
  • Design and develop additive manufacturing printing optics-based platforms

Courses Taught:

  • BEN 485 Bioengineering Laboratory (Fall 2013)
  • BEN 487 Bioengineering Capstone Design course. (Spring 2014)
  • BEN 364 Quantitative Physiology (Spring 2015)
  • BEN Bio-manufacturing (Fall 2014-15)

Honors:

  • 2015 – Faculty Excellence Award – Syracuse University
  • 2010 – Dean’s award for academic excellence
  • Chair (2015-17), Vice-Chair (2013-15) and Treasurer (2011-13) for Society for Biomaterials, Special Interest Group (Proteins and Cells at Interfaces)

Selected Publications:

Chen, S. Yang, J. Yan, M-h Hsieh, L. Weng, J.L. Ouderkirk, M. Krendel and P. Soman, “A Novel Suspended Hydrogel Membrane (ShyM) platform for cell culture”, J. Nanotechnol, Eng. Med, 2015; doi: 10.1115/1.4031467.

Wu, Y.X. Chen, J. Yan, S. Yang, P. Dong, and P. Soman. “Fabrication of conductive polyaniline hydrogel using porogen leaching and projection microstereolithography.”Journal of Materials Chemistry B, 2015, 3(26), 5352-5360.

Ogden, C. Aslan, N. Ordway, D. Diallo, G. Tillapaugh-Fay, and P. Soman. “Factors Affecting Dimensional Accuracy of 3-D Printed Anatomical Structures Derived from CT Data.”Journal of digital imaging (2015): 1-10.

Hribar, P. Soman, J. Warner, P. Chung, and S.C. Chen, “Light-based Direct-write of 3D Functional Biomaterials”,Lab on a Chip, 2014, 14 (2), 268 – 275.

Cha, P. Soman, W. Zhu, M. Nikkhah, G. Camci-Unal, S.C. Chen, A. Khademhosseini, “Structural Reinforcement of Cell-Laden Hydrogels with Microfabricated Three Dimensional Scaffolds”,Biomaterials Science, 2013, 2(5), 703-709.

Soman, P.H. Chung, A. Zhang, S.C. Chen, “Digital Microfabrication of user-defined 3D microstructures in cell-laden hydrogels”, Biotechnology and Bioengineering, 2013, 111(11), 3038-47.

P.Grogan, P.H.Chung, P. Soman, P.Chen, M.K.Lotz, S.C. Chen, D. D’lima, “Digital-micromirror-device projection printing system for meniscus tissue engineering”, Acta Biomaterialia, 2013, 9(7): 7218-26.

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 and Technology of China

Research interests:

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

Lab/Center Affiliation:

  • Syracuse Biomaterials Institute

Current Research:

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

Teaching Interests:

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

Select Publications:

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

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

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

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

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

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

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

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

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

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

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

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

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

Amit K. Sanyal

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:

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

Research Interests:

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

Current Research:

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

Courses Taught:

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

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

Courses taught at Syracuse University from fall 2015 are:

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

Honors:

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

Selected Publications:

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

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

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

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

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

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

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

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

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

Mehmet Sarimurat

Research interests

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

Teaching Interests

  • MAE571 Application of Computational Fluid Dynamics

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:

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

Research Interests:

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

Current Research:

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

Courses Taught:

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

Honors:

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

Selected Publications:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Ashok S. Sangani

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).

Asif Salekin

Degree:

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

Research interests:

  • Internet of Things (IoT)
  • Pervasive and Ubiquitous Computing
  • Machine Learning
  • Connected and Mobile Health
  • Cyber-Physical Systems (CPS)

Current Research:

My research takes a multi-disciplinary approach to develop novel and practical human behavioral and physical event sensing technologies that overlap with machine learning, human-centered Computing (e.g., health computing, human-machine interaction, and wellness monitoring applications), internet of things, cyber-physical systems and natural language processing. I enjoy building data-driven, application-specific novel technologies, as well as new systems and applications that involve sensors, mobile devices and cloud services. Research challenges that I deal with are the uncertainties in physical world sensing, human factors, such as, the user-context and mobility, limitation of current technologies, and resource constraints of the sensing data and platform. Technologies and systems that I develop are human-centric, several of them are attributed to health and wellness, and in general, they are in the scope of ubiquitous computing.

Teaching Interests:

  • Design and Analysis of Algorithms

Honors:

  • Graduate Student Award for Outstanding Research, UVA Department of Computer Science, 2018
  • Nominated for Best Paper Award, Wireless Health 2016

Recent Publications:

  • A. Salekin, S. Ghaffarzadegan, Z. Feng and J. Stankovic. A Real-Time Audio Monitoring Framework with Limited Data for Constrained Devices, The 15th International Conference on Distributed Computing in Sensor Systems (DCOSS 2019).
  • A. Salekin, Jeremy W. Eberle, Jeffrey J. Glenn, Bethany A. Teachman, and John A. Stankovic. 2018. A Weakly Supervised Learning Framework for Detecting Social Anxiety and Depression, ACM Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT), Vol. 2, No. 2, Article 81 (June 2018), 26 pages. (and Ubicomp 2018)
  • A. Salekin, Z. Chen, M. Ahmed, J. Lach, D. Metz, K. de la Haye, B. Bell, and J. Stankovic, Distance Emotion Recognition, ACM Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT), Vol. 1, Issue 3, Sept. 2017, 96:1-96:24. (Ubicomp 2017)
  • A. Salekin, H. Wang, K. Williams, and J. Stankovic, DAVE: Detecting Agitated Vocal Events, The IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), July 2017.
  • Z. Chen, M. Ahmed, A. Salekin, and John A. Stankovic, ARASID: Artificial Reverberation-Adjusted Indoor Speaker Identification Dealing with Variable Distances, International Conference on Embedded Wireless Systems and Networks (EWSN), 2019.

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 Biomaterials Institute

Current Research:

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

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

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

Courses Taught:

  • CEN551 Biochemical Engineering
  • BEN301 Biological Principles for Engineers

Honors:

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

Selected Publications:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Farzana Rahman

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.

Teaching Interests:

  • Multiscale Material Modeling and Simulations
  • Engineering Materials
  • Structures and Materials
  • Mechanics of Solids

Honors:

  • 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, 2011, 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:

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 2021, 4 (6), 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

Zhao Qin, Lingfei Wu, Hui Sun, Siyu Huo, Tengfei Ma, Eugene Lim, Pin-Yu Chen, Benedetto Marelli, Markus 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

Ji Liu, Shaoting Lin, Xinyue Liu, Zhao Qin, Yueying Yang, Jianfeng Zang, and Xuanhe Zhao (2020), Fatigue-resistant Adhesion of Hydrogels, Nature Communications, 11, 1071

Jinrong Wu, Zhao Qin, Liangliang Qu, Hao Zhang, Fei Deng, Ming Guo (2019), Natural hydrogel in American lobster: a soft armour with high toughness and strength, Acta Biomaterialia, Vol 88, pp. 102-110

Yimo Han, Ming-Yang Li, Gang-Seob Jung, Mark A. Marsalis, Zhao Qin, Markus J. Buehler, Lain-Jong Li, David A. Muller (2018), Sub-Nanometer Channels Embedded in Two-Dimensional Materials, Nature Materials, Vol. 17, pp 129-133

Zhao Qin, Gang Seob Jung, Min Jeong Kang, Markus J. Buehler (2017), The mechanics and design of light-weight three-dimensional graphene assembly, Science Advances, Vol. 3, paper #: e1601536

Zhao Qin, Lingfei Wu, Hui Sun, Siyu Huo, Tengfei Ma, Eugene Lim, Pin-Yu Chen, Benedetto Marelli, Markus 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

Ji Liu, Shaoting Lin, Xinyue Liu, Zhao Qin, Yueying Yang, Jianfeng Zang, and Xuanhe Zhao (2020), Fatigue-resistant Adhesion of Hydrogels, Nature Communications, 11, 1071

Jinrong Wu, Zhao Qin, Liangliang Qu, Hao Zhang, Fei Deng, Ming Guo (2019), Natural hydrogel in American lobster: a soft armour with high toughness and strength, Acta Biomaterialia, Vol 88, pp. 102-110

Yimo Han, Ming-Yang Li, Gang-Seob Jung, Mark A. Marsalis, Zhao Qin, Markus J. Buehler, Lain-Jong Li, David A. Muller (2018), Sub-Nanometer Channels Embedded in Two-Dimensional Materials, Nature Materials, Vol. 17, pp 129-133

Zhao Qin, Gang Seob Jung, Min Jeong Kang, Markus J. Buehler (2017), The mechanics and design of light-weight three-dimensional graphene assembly, Science Advances, Vol. 3, paper #: e1601536

Qinru Qiu

Degree(s):

  • PhD

Lab/Center Affiliation(s):

  • AMPS (Advanced Microprocessor and Power-aware Systems)

Research Interests:

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

Current Research:

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

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

Courses Taught:

  • VLSI Design
  • Computer architecture

Honors:

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

Selected Publications:

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

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

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

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

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

Quinn Qiao

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

Research Interests:

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

Current Research:

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

Honors:

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

Select Publications:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Vir V. Phoha

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:

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

Selected Publications:

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

Susan Older

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.

Jae C. Oh

Degree(s):

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

Lab/Center Affiliation(s):

  • Distributed Multi-agent Systems Laboratory (Director)

Research Interests:

  • Applications of Artificial Intelligence to distributed systems, multi-agent systems, swarm robotics, big-data visualizations, and cyber-physical systems
  • Game theory
  • Social network analysis

Current Research:

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

Courses Taught:

  • Operating systems
  • Artificial intelligence
  • Game theory
  • Distributed systems
  • Multi-agent systems

Honors:

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

Selected Publications:

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

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

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

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

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

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

Dawit Negussey

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
  • Smart Grid Lab

Research Interests:

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

Current Research:

Recent work has involved the development of algorithms for:

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

Teaching Interests:

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

Honors:

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

Selected Publications:

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

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

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

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

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

Young B. Moon

Degree(s):

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

Lab/Center Affiliation(s):

  • Institute for Manufacturing Enterprises

Research Interests:

  • Systems Modeling and Simulation
  • Sustainability and Enterprise Systems
  • Product Lifecycle Management

Current Research:

Professor Moon’s research involves using modeling and simulation methods to develop effective and innovative solutions to complex systems problems such as CyberManufacturing Systems, New Product Development Processes, Enterprise Systems, and Sustainable Manufacturing.

Courses Taught:

  • Simulation and Data Analytics
  • Statistics for Engineers
  • Sustainable Manufacturing
  • Modeling and Optimization Techniques

Honors:

  • Fulbright Scholar
  • Syracuse University’s College of Engineering and Computer Science Faculty Excellence Award

Selected Publications:

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

M. Wu, V. Phoha, Y.B. Moon and A.K. Belman, “Detecting Malicious Defects in 3D Printing Process Using Machine Learning and Image Classification,” Proceedings of the International Mechanical Engineering Congress & Exposition, Phoenix, AZ, November 11-17, 2016.

Z. Song and Y.B. Moon, “Performance Analysis of CyberManufacturing Systems: A Simulation Study,” Proceedings of the IFIP 13th International Conference on Product Lifecycle Management (IFIP Advances in Information and Communication Technology, volume 492), Columbia, SC, July 11-13, 2016.

M. Wu and Y.B. Moon, “Spurring Innovation in a Sustainable Manufacturing Course,” Proceedings of the ASEE Annual Conference & Exposition, New Orleans, LA, June 26-29, 2016.

Y. B. Moon and M. Wu, “Innovation within the constraints of sustainability: analysis of product development projects,” (with Mingtao Wu), Proceedings of the Frontiers in Engineering Conference, El Paso, TX, October 21-24, 2015.

B. Wang, S. Breme and Y.B. Moon, “Hybrid Modeling and Simulation Method for Lifecycle Assessment,” Computers and Industrial Engineering, vol. 69, pp. 77-88, 2014.

K.R. Reddi, W. Li, B. Wang and Y.B. Moon, “System Dynamics Modeling of Hybrid Renewable Energy Systems and Combined Heating & Power Generator,” International Journal of Sustainable Engineering, vol. 6, no. 1, pp. 31-47, 2013.

K.R. Reddi and Y.B. Moon, “System Dynamics Modeling of New Product Development and Engineering Change Management in a Collaborative Environment,” International Journal of Production Research, vol. 51, no. 17, pp. 5271-5291, 2013.

W. Li and Y.B. Moon, “Modeling and Managing Engineering Changes in a Complex Product Development Process,” International Journal of Advanced Manufacturing Technology, vol. 63, no. 9-12, pp. 863-874, 2012.

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

Jean-Daniel Medjo Me Biomo

Mobile ad hoc networks, Satellite networks, Artificial intelligence, and 5G-and-beyond networks

Kristopher Micinski

Degree:

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

Research interests:

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

Current Research:

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).

Teaching Interests:

  • Programming Languages
  • Computer Security
  • Formal Logic and Discrete Mathematics

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:

  • Multiscale Research & Engineering Laboratory [MREL]
  • Syracuse Center of Excellence
  • CASE

Research Interests:

  • Energy & thermal management
  • Water desalination & filtration
  • Bio-mechanical systems

Current Research:

Multiscale Research & Engineering Laboratory (MREL) is a research group of Prof. Shalabh C. Maroo in the College of Engineering and Computer Science, Syracuse University. The group’s research interests are highly multidisciplinary, in the areas of multi-scale transport phenomenon, thermal management, and bio-mechanical systems with a focus on energy and water desalination, and an emphasis on using the fundamentals of nano-science and nano-technology to build efficient macro-scale mechanical systems. His recent work includes, (1) thin-film evaporation heat transfer at the nanoscale to achieve ultra-high heat fluxes for efficient thermal management, (2) fundamental investigation and visualization of contact line and microlayer, (3) surface and transport properties of ionic solution in tobacco mosaic virus for water desalination. All three research methods are pursued: theoretical analysis, computational simulations (molecular dynamics and CFD) and experimental techniques (including nano-metrology and nanofabrication). In addition, Professor Maroo has also been greatly involved in (a) utilization of solar energy, (b) improving building energy efficiency, and (c) design of a novel adsorbtion battery to provide heating and cooling in electric vehicles.

Courses Taught:

  • MAE 500 – Fundamentals of Nanoscience and Nanoengineering
  • MAE 355 – Fundamentals of Heat Transfer
  • MAE 655 – Advanced Heat Transfer
  • MAE 587 – Design of Solar Energy Systems

Honors:

  • 2015 NSF CAREER Award
  • ‘Thermal and Fluid Science’ best PhD dissertation award at the University of Florida for the year 2009

Selected Publications:

An Zou, Dhirendra P. Singh & Shalabh C. Maroo, Early Evaporation of Microlayer for Boiling Heat Transfer Enhancement, Langmuir, 32 (42), pp 10808–10814 (2016)

Sumith YD & Shalabh C. Maroo, Origin of Surface-Driven Passive Liquid Flows, Langmuir, accepted for publication, 32 (34), pp 8593–8597 (2016)

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, The Journal of Physical Chemistry Letters, 6, p. 3765-3769 (2015)

Rishi Raj, Shalabh C. Maroo & Evelyn N. Wang, Wettability of Graphene, Nano Letters, 13 (4), pp 1509–1515 (2013)

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

Research interests

  • Microfluidics
  • Point of care diagnosis
  • Wearable biosensor

Current Research

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.

Teaching Interests

  • Microfluidics: fundamentals and applications
  • Bioinstrumentation

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

Recent Publications

  • 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
  • X. Liu and P.B. Lillehoj. Electrochemical detection in stacked paper networks. (2015) Journal of Laboratory Automation, 20(4): 506-10.
  • X. Liu, T.Y. Lin and P.B. Lillehoj. Smartphones for cell and biomolecular detection. (2014) Annals of Biomedical Engineering, 42(11): 2205-17. Most Downloaded Article in 2014-2015

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.

Lab/Center Affiliation:

  • University Transportation Research Center (headquartered at CUNY)

Research Interests:

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

Current Research:

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.

Courses Taught:

  • ECS 354 – Green Technology and Sustainability
  • CEE 331 – Analysis of Structures and Materials
  • CEE 433 – Intermediate Structural Analysis
  • CEE 535 – Structural Steel Design
  • CEE 536 – Prestressed Concrete Design
  • CEE 538 – Dynamics of Structures
  • CEE 629 – Reliability of Civil Systems
  • CEE 631 – Structural Analysis I
  • CEE 632 – Structural Analysis II
  • CEE 634 – Stability Analysis of Structural Systems
  • CEE 636 – Plastic Design of Steel Structures

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:

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.

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.

Zhen Ma

Education:

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

Research Interests:

  • Developmental biology and tissue morphogenesis
  • Cardiac tissue engineering and regenerative medicine
  • Stem cell engineering

Current Research:

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.

Teaching Interests:

  • Stem cell engineering

Honors:

  • American Heart Association Postdoctoral Fellowship
  • Siebel Institute Postdoctoral Fellowship
  • Fellow Award of Biomedical Engineering Society, Cellular and Molecular Bioengineering Group

Recent Publications:

Mathur A., Ma Z., Loskill P., Jeeawoody S., and Healy K.E. (2016) “In vitro cardiac tissue models: current status and future prospects” Advanced Drug Delivery Reviews 96:203-13.

Ma Z., Wang J., Loskill P., Huebsch N., Koo S., Svedlund F.L., Marks N.C., Hua E., Grigoropoulos C.P., Conklin B.R., and Healy K.E. (2015) “Self-organizing cardiac microchamber mediated by geometric confinement” Nature Communications 6: 7413.

Ma Z., Koo S., Finnegan M.A., Loskill P., Huebsch N., Marks N.C., Grigoropoulos C.P., Conklin B.R., and Healy K.E. (2014) “Three-dimensional filamentous human diseased cardiac tissue model” Biomaterials 35(5): 1367-77.

Alan Levy

Degree(s):

  • Ph.D., Columbia University

Lab/Center Affiliation(s):

  • Syracuse Biomaterials Institute

Research Interests:

  • Micromechanics of interfaces
  • Vascular mechanics
  • Effective composite property analysis
  • Constitutive material modeling

Current Research:

Professor Levy’s research interests lie in the fields of nonlinear mechanics and applied mathematics and focus primarily on the micromechanics of interfaces, vascular mechanics, effective composite property analysis and constitutive material modeling.

Current research activities in vascular mechanics are focused on i) the incipient growth of abdominal aortic aneurysm and ii) the fundamental mechanisms that underlie the mechanical stability of healthy and diseased arterial tissue and its constituents. Research in interface mechanics is concerned with the static and quasi-static analysis of crack-like defects in various geometries/loadings.

Courses Taught:

  • Graduate: Mathematical Methods, Elasticity, Continuum Mechanics, Inelasticity, Vibrations
  • Undergraduate: Statics, Mechanics of Solids

Honors:

  • Faculty Excellence Award
  • Pi Tau Sigma (by invitation)
  • Pi Tau Sigma Award for Outstanding Professor of Mechanical Engineering
  • ASME Service Certificates
  • Numerous biographical listing including American Men and Women of Science and Who’s Who.

Selected Publications:

Song, Y., and Levy, A. J., “Exact Analysis of Mode III Cohesive Fracture in Layered Elastic Composites.” International Journal of Fracture, 2020, 225:169–190 https://doi.org/10.1007/s10704-020-00471-1

Zhang, X. And Levy, A.J., “On The Uniform Stress/Uniform Stretch States Of Prestressed Arteries.” Journal Of Theoretical Biology, 2019, 486 (7):110100 https://doi.org/10.1016/j.jtbi.2019.110100

Song, Y., and Levy, A. J. “Exact Analysis of Mode-III Cohesive Fracture of a Cylindrical Bar in Torsion.” J. Appl. Mech. 2019; 86(10): 101012. https://doi.org/10.1115/1.4044384

Levy, A.J. and Zhang, X., “Tensile Stability of Medial Arterial Tissues,” J. Appl. Mech. (2016);83(5):051013-051013-7. doi:10.1115/1.4032858.

Levy, A.J. and Li, W., “Adaption of the Clinical Correlation Instructional Model for 2nd Year Engineering Science Courses,” International Journal of Engineering Education 29 1144-1154 (2013).

Nguyen, C. and Levy, A.J., “Cohesive Fracture of Plane Orthotropic Layers,” International Journal of Solids and Structures, 50 1266–1284 (2013). http://dx.doi.org/10.1016/j.ijsolstr.2012.12.024

Levy, A.J., “On the Treatment of Statical Indeterminacy in the Elementary Statics of Particles and Rigid Bodies,” International Journal of Mechanical Engineering Education 40 329-345 (2012). http://dx.doi.org/10.7227/IJMEE.40.3

Jay K. Lee

Degree(s):

  • Ph.D, Massachusetts Institute of Technology 1985
  • M.S., Massachusetts Institute of Technology 1981
  • B.S., Seoul National University, Seoul, Korea 1976

Lab/Center Affiliation(s):

  • Electromagnetics Laboratory

Research Interests:

  • Electromagnetic fields and waves
  • Waves in complex and anisotropic media
  • Antennas and propagation
  • Microwave remote sensing

Current Research:

Development of dyadic Green’s functions for various complex media:
Dyadic Green’s functions (DGFs) have been an important and major tool for solving a great number of electromagnetic problems in many decades. Finding DGFs for anisotropic media have been very challenging due to its complexity. My research has been to obtain the DGFs for several different types of anisotropic media – including (i) uniaxially anisotropic medium, (ii) biaxially anisotropic medium, (iii) electrically gyrotropic (gyroelectric) medium, and (iv) magnetically gyrotropic (gyromagnetic) medium.

Wave propagation and scattering involving complex media:
The DGFs that we obtained above are used to solve a variety of theoretical and practical problems involving complex (anisotropic) media. We have investigated and solved the problems of wave propagation, reflection & transmission, radiation and scattering of electromagnetic waves in the presence of such anisotropic media as well as bianisotropic media. Problems of antennas and microstrip circuits have also been treated.

Courses Taught:

  • Electromagnetics I & II
  • Electromagnetic Engineering
  • Antennas and Antenna Systems
  • Electromagnetic Fields

Honors:

  • Magna Cum Laude Honor, Seoul National University, Korea, 1976.
  • Eta Kappa Nu Outstanding Undergraduate Teacher Award, 1999.
  • IEEE Third Millennium Medal, 2000
  • The Technology Alliance of CNY – College Educator of the Year Award, 2002
  • IEEE Region 1 Award, August 2002
  • Who’s Who in Electromagnetics

Selected Publications:

Arlon T. Adams and Jay K. Lee, Electromagnetics, University Readers, First Edition, 2012; Cognella, Revised First Edition, 2015.

[Undergraduate Electromagnetics course textbook, 632 pages] https://titles.cognella.com/electromagnetics-9781626615847.html

Brian J. Rautio, Vladimir I. Okhmatovski, Andreas C. Cangellaris, James C. Rautio, and Jay K. Lee, “The unified-FFT algorithm for fast electromagnetic analysis of planar integrated circuits printed on layered media inside a rectangular enclosure,” IEEE Trans. Microwave Theory and Techniques, vol. 62, No. 5, pp. 1112-1121, May 2014.

Ying Huang and Jay K. Lee, “Radiation from an arbitrarily oriented Hertzian dipole in the presence of a gyroelectric slab,” IEEE Trans. Antennas and Propagation, Vol. 62, No. 4, pp. 1837- 1843, April 2014.

Jennifer W. Graham and Jay K. Lee, “Reflection and transmission from biaxially anisotropic-isotropic interfaces,” Progress In Electromagnetics Research, Vol. 136, pp. 681-702, 2013.

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, Vol. 42, pp. 335-362, 2012.

Abdullah Eroglu, Yun Hee Lee, and Jay K. Lee, “Dyadic Green’s functions for multi-layered uniaxially anisotropic media with arbitrarily oriented optic axis,” IET (Institution of Engineering and Technology) Microwaves, Antennas & Propagation, Vol. 5, Iss.15, pp. 1779-1788, 2011.

Ying Huang and Jay K. Lee, “Dyadic Green’s functions for unbounded and two-layered general anisotropic media,” Progress in Electromagnetics Research (PIER) B, Vol. 30, pp. 27-46, 2011.

Abdullah Eroglu and Jay K. Lee, “Far field radiation from an arbitrarily oriented Hertzian dipole in an unbounded electrically gyrotropic medium,” Progress in Electromagnetics Research (PIER), vol. 89, pp. 291-310, 2009.

Abdullah Eroglu and Jay K. Lee, “The complete design of microstrip directional couplers using the synthesis technique,” IEEE Transactions on Instrumentation and Measurement, vol. 57, No. 12, pp. 2756-2761, December 2008.

Ahmet Yagli, Jay K. Lee and Ercument Arvas, “Monochromatic scattering from three-dimensional gyrotropic bodies using the TLM method,” Applied Computational Electromagnetics Society (ACES ) Journal, vol. 22, No. 1, pp. 155-163, March 2007.

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).

Research Interests:

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

Current Research:

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

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

Courses Taught:

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

Selected Publications:

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

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

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

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

Fanxin Kong

Degrees

  • Ph.D. in Computer Science, McGill University
  • M.S. in Computer Science, Northeastern University (CN)
  • B.S. in Computer Science, Northeastern University (CN)

Research interests

  • Security, sustainability, and real-time aspects for Cyber-Physical Systems and Internet of Things

Current Research

My research interests include security, sustainability and real-time aspects for Cyber-Physical Systems (CPS) and Internet of Things (IoT). My application areas include automobiles and transportation systems, cloud and data centers, and power and energy systems. My research techniques include optimization, algorithm design, data analysis, machine learning, control, and game theory.

Courses taught

  • Design of Operating Systems

Recent Publications

  • Fanxin Kong, Meng Xu, James Weimer, Oleg Sokolsky, and Insup Lee, “Cyber-Physical System Checkpointing and Recovery”, in the 9th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), 2018.
  • Fanxin Kong, Xue Liu, and Insup Lee, “Joint Rate Control and Demand Balancing for Electric Vehicle Charging”, in the 3rd ACM/IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI), 2018.
  • Fanxin Kong, Xue Liu, Zhonghao Sun, and Qinglong Wang, “Smart Rate Control and Demand Balancing for Electric Vehicle Charging”, in the ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS), 2016, pp. 1-10.
  • Fanxin Kong and Xue Liu, “GreenPlanning: Optimal Energy Source Selection and Capacity Planning for Green Datacenters”, in the ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS), 2016, pp. 1-10.

Jung-Eun Kim

Degree(s):

Ph.D. Computer Science, University of Illinois at Urbana-Champaign

M.S. Computer Science and Engineering, Seoul National University, Seoul, Korea

B.S. Computer Science and Engineering, Seoul National University, Seoul, Korea

Research interests:

  • AI/Machine learning for Cyber-Physical Systems (CPS)
  • Safety-/Time-critical systems
  • Real-time embedded systems

Current Research:

Dr. Kim’s current research lies at cyber-physical systems incorporating AI/machine learning capabilities. Cyber-physical and embedded systems are usually running in a resource-constrained environment. Hence, depending on the criticality of the learning applications, an advanced learning performance could be compromised while satisfying certain temporal and spatial requirements of the system’s core and essential tasks. Her research interest also includes developing systematic and analytic way to enhance and/or decompose the performance of learning components running in cyber-physical and embedded systems.

Teaching Interests:

My teaching interests include cyber-physical systems for safety-critical systems and/or machine learning systems, as well as real-time embedded systems.

Honors:

  • NSF SaTC (Secure and Trustworthy Cyberspace): CORE: Small: Partition-Oblivious Real-Time Hierarchical Scheduling, Co-PI, National Science Foundation, 2020–2023
  • GPU Grant by NVIDIA Corporation, 2018
  • The MIT EECS Rising Stars, 2015
  • The Richard T. Cheng Endowed Fellowship, 2015 – 2016

Recent Publications:

  • Man-Ki Yoon, Mengqi Liu, Hao Chen, Jung-Eun Kim and Zhong Shao, “Blinder: Partition-Oblivious Hierarchical Scheduling,” in Proceedings of the 30th USENIX Security Symposium (USENIX Security ’21), Aug. 2021.
  • Jung-Eun Kim, Richard Bradford, Max Del Giudice and Zhong Shao, “Adaptive Generative Modeling in Resource-Constrained Environments,” in Proceedings of the 24th ACM/IEEE Design, Automation, and Test in Europe (DATE), Feb. 2021.
  • Jung-Eun Kim, Richard Bradford, Max Del Giudice and Zhong Shao, “Paired Training Framework for Time-Constrained Learning,” in Proceedings of the 24th ACM/IEEE Design, Automation, and Test in Europe (DATE), Feb. 2021.
  • Jung-Eun Kim, Richard Bradford and Zhong Shao, “AnytimeNet: Controlling Time-Quality Tradeoffs in Deep Neural Network Architectures,” in Proceedings of the 23rd ACM/IEEE Design, Automation, and Test in Europe (DATE), Mar. 2020.
  • Jung-Eun Kim, Richard Bradford, Man-Ki Yoon and Zhong Shao, “ABC: Abstract prediction Before Concreteness,” in Proceedings of the 23rd ACM/IEEE Design, Automation, and Test in Europe (DATE), Mar. 2020.

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

Research interests:

  • Flash and non-volatile memory-based systems
  • Data storage systems
  • File systems and key-value stores

Current Research:

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

Recent Publications:

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

Mehmet Kaya

Degrees

  • M.S. in Computer Science, Syracuse University
  • Ph.D. in Computer Engineering, Syracuse University

Teaching Interests

  • Data Structures and Algorithms
  • Object-Oriented Design
  • Mobile Application Development
  • Software Engineering

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

Research interests:

  • Neural Computation
  • Cognitive Robotics
  • Dynamical Systems

Current Research:

My current research focuses on programmable neural networks: neural networks that can be “programmed” like a conventional computer to execute symbolic, cognitive-level tasks, but can then refine that procedural knowledge by learning from examples and experience.  One application of this work is in robotic imitation learning: “programming” robots from a single human demonstration of a task that requires high-level planning and reasoning.  A second application of this work is modeling the neural basis of cognition, and cognitive disorders, in humans.

In other research I am developing new solution methods for fixed point location in recurrent neural networks and other dynamical systems, including gradient flows of optimization objective functions.  This work applies broadly to solving non-linear systems of equations and non-convex optimization.  I have also worked on methods for computational tomography of biological virus particles.

Teaching Interests:

My teaching interests include machine learning and artificial intelligence, especially neural computation and automated planning, as well as dynamical systems, robotics, and human-robot interaction.

Honors:

  • Best student paper award at the 9thInternational Conference on Artifical General Intelligence, 2016
  • Distinguished Graduate Student Teacher, University of Maryland, 2014

Recent Publications:

  • Katz GE, Reggia JA (2017). Using Directional Fibers to Locate Fixed Points of Recurrent Neural Networks. IEEE Transactions on Neural Networks and Learning Systems.  DOI 10.1109/TNNLS.2017.2733544
  • Katz GE, Huang DW, Hauge T, Gentili RJ, Reggia JA (2017).  A Novel Parsimonious Cause-Effect Reasoning Algorithm for Robot Imitation and Plan Recognition.  IEEE Transactions on Cognitive and Developmental Systems.  IEEE. DOI 10.1109/TCDS.2017.2651643

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)

Research Interests:

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

Current Research:

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.

Courses Taught:

  • CEE 329 Statistics and Risk in Civil and Environmental Engineering
  • CEE 471/671 Environmental Chemistry and Analysis
  • CEE 662 Chemistry of Soils and Natural Surfaces
  • HNR 350 Water for Gotham
  • HNR 350 The Aqueducts of Ancient Rome

Honors:

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

Selected Publications:

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 Biomaterials Institute

Research interests:

  • Targeted and programmed drug delivery
  • Injectable and biodegradable hydrogels and scaffolds
  • Musculoskeletal tissue engineering

Current Research:

Inflammation is a primary component of all diseases, including several musculoskeletal disorders such as arthritis. My research focuses on engineering immunomodulatory biomaterials for advancing the treatment of musculoskeletal disorders and related inflammatory disorders. We are particularly interested in the design of macrophage targeting and programmed 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.

Teaching Interests:

  • Drug Delivery
  • Biomaterials

Selected Publications:

  1. 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)
  2. S.H. Huang, S. Sheth, E. Jain, X. Jiang, S.P. Zustiak, L. Yang, Whispering gallery mode resonator sensor for in situ measurements of hydrogel gelation, Opt Express 26 (2018) 51-62.
  3. 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.
  4. E. Jain, S. Sheth, S. Patel, M. Flanagan, Q. Gan, S.A. Sell, A.M. Montano, S.P. Zustiak, Injectable microgels development for sustained GALNS enzyme replacement therapy for Morquio syndrome type A, Mol Genet Metab 120 (2017) S70-S70.
  5. 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.
  6. 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.
  7. 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

Research Interests:

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

Current Research:

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

Courses Taught:

  • Controls

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:

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

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

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

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

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

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

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

Ian D. Hosein

Degree(s):

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

Research Interests:

  • Materials Synthesis and Processing
  • Sustainable Energy Production and Storage
  • Environmental Remediation and Water Resource Protection
  • Stimuli-Responsive and Smart Materials

Current Research:

Our group aims to advance platforms for sustainable energy conversion and storage. We build upon current synthesis and processing methods in both soft and inorganic systems to create new materials, and employ a select suite of characterization techniques to understand their functional properties. Our particular emphasis is on controlling spontaneous processes in materials formation, to enable our solutions to be rapid, cost-effective, and scalable. Our work also explores scientific and engineering problems in other disciplines, seeking thereby to address technological challenges in a broader context.

Courses Taught:

  • CEN 212 Experimental methods in chemical engineering
  • CEN 400/600 Materials for energy systems

Selected Publications:

I. D. Hosein, M. Hegde, P. D. Jones, V. Chirmanov, P. V. Radovanovic, “Evolution of the Faceting, Morphology and Aspect Ratio of Gallium Oxide Nanowires Grown by Vapor-Solid Deposition.” J. Cryst. Growth. 2014, 396, 24–32.

T. Wang, A. Layek, I. D. Hosein, V. Chirmanov, P. V. Radovanovic, “Correlation between native defects and dopants in colloidal lanthanide-doped Ga2O3 nanocrystals: A path to enhancing functionality and controlling optical properties.” J. Mat. Chem. C. 2014. Invited paper for 2014 Emerging Investigators Themed Issue.

M. A. Halim, K. Hasan, G. Sarwar, I. D. Hosein, “Creating a Borderless Platform for Scientific Research in Canadian Chemical Transactions.” Can. Chem. Trans., 2013, 1, 1–6.

S.S. Farvid, M. Hegde, I. D. Hosein, P. V. Radovanovic, “Electronic structure and magnetism of Mn dopants in GaN nanowires: ensemble vs single nanowire measurements.” Appl. Phys. Lett., 2011, 99 222504–6.

M. Hedge, S. S. Farvid, I. D. Hosein, P. V. Radovanovic, “Tuning Manganese Dopant Spin Interactions in Single GaN Nanowires at Room Temperature.” ACS Nano, 2011, 5, 6365–6373.

I. D. Hosein, S. H. Lee, C. M. Liddell, “Dimer-Based Three-Dimensional (3D) Photonic Crystals.” Adv. Func. Mater., 2010, 20, 3085–309.

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

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:

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

Recent Publications:

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

James H. Henderson

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):

  • Syracuse Biomaterials Institute

Research Interests:

  • Tissue engineering
  • Biomaterials
  • Mechanobiology

Current Research:

The overarching goal of research in the Henderson Lab is to understand how biophysical stimuli (e.g., stresses and strains) regulate tissue development, maintenance, and disease progression and to use that understanding to develop biomimetic bench-top research platforms, biomedical devices, and tissue-engineering and regenerative medicine approaches. Dr. Henderson is a faculty member of the Syracuse Biomaterials Institute and of the SUNY Upstate Medical University Cancer Research Institute, holds an adjunct position in the Syracuse University department of Biology and a without compensation (WOC) appointment at the Syracuse VA Medical Center.

Courses Taught:

Biomedical engineering, including:

  • Computational tools for engineers
  • Introduction to engineering (bioengineering section)

Biomechanical engineering, including:

  • Biomechanics

Honors:

  • 2012 Defense Advanced Research Projects Agency (DARPA) Young Faculty Award
  • 2010 LC Smith College of Engineering and Computer Science Faculty Excellence Award
  • 2007 New Investigator Recognition Award (NIRA), 6th Combined Meeting of the Orthopaedic Research Societies
  • 2006–2008 Arthritis Foundation Postdoctoral Fellow
  • 2005 Aspiring Investigator Award, 5th Annual Meeting of the Midwestern Tissue Engineering Consortium
  • 1999–2004 Hertz Foundation Fellow
  • 1999–2002 Stanford Graduate Fellow (Burt and Deedee McMurtry Fellow)

Selected Publications:

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

Wormer DB, Davis KA, Henderson JH, Turner CE. The Focal Adhesion-Localized CdGAP Regulates Matrix Rigidity Sensing and Durotaxis. PLoS ONE, 9(3): e91815, 2014. http://dx.doi.org/10.1371/journal.pone.0091815

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

Baker RM, Henderson JH, and Mather PT. Shape memory poly(ε-caprolactone)-co-poly(ethylene glycol) foams with body temperature triggering and two-way actuation. Journal of Materials Chemistry B, 1:4916-4920, 2013. http://dx.doi.org/10.1039/C3TB20810A

Baker RM, Yang P, Henderson JH, and Mather PT. In vitro wrinkle formation via shape memory dynamically aligns adherent cells. Soft Matter, 9:4705–4714, 2013. http://dx.doi.org/10.1039/C3SM00024A

Xu X, Davis KA, Yang P, Gu X, Henderson JH, and Mather PT. Shape memory RGD-containing hydrogels: synthesis, characterization, and application in cell culture. Macromolecular Symposia, 309-310: 162-172, 2011. http://dx.doi.org/10.1002/masy.201100060

Davis KA, Luo X, Mather PT, and Henderson JH. Shape memory polymers for active cell culture. J Vis Exp (53):e2903, 2011. Video article viewed more than 13,000 times. http://www.jove.com/details.php?ID=2903

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

Mark Glauser

Degree(s):

  • Ph.D., Fluid Dynamics, University at Buffalo

Honors:

  • Fellow, American Institute for Aeronautics and Astronautics (AIAA), 2011
  • Fellow, American Physical Society (APS), 2007
  • Fellow, American Society of Mechanical Engineers (ASME), 2002
  • Fellow, The Institute of Physics (UK), 2004
  • Associate Fellow, American Institute of Aeronautics and Astronautics (AIAA), 2001
  • 2003 ASME Robert T. Knapp Best Paper Award

Research Interests:

  • Applications of advanced fluid information
  • Turbulence and multi-phase flows
  • Energy systems
  • Built environments
  • Fluid mechanics of breathing and coughing
  • Flow control
  • Dynamical systems
  • Unsteady aerodynamics
  • Acoustics
  • Signal processing and instrumentation
  • K-Ph.D. Education

Teaching Interests:

  • MAE 315, Mechanical and aerospace laboratory
  • MAE 321, Vibrations
  • MAE 341, Introduction to fluid mechanics
  • MAE 741, Turbulence

Select Publications:

Hardbound volume entitled, “Whither Turbulence and Big Data in the 21st Century?”, Springer (eds. A. Pollard, L. Castillo, L. Danaila and M. Glauser) 2016.

Wang, G., Lewalle, J., Glauser, M. and Walczak, J. (2013), “Investigation of the benefits of unsteady blowing actuation on a 2D wind turbine blade”.  Journal of Turbulence, Vol 14, Issue 1, pp 165 – 189.

Glauser, M.N., Saric, W.R., Chapman, K. and Riebert, M., (2014), “ Swept Wing Boundary-Layer Transition and Turbulent Flow Physics from Multi-Point Measurements’’, AIAA Journal, Volume 52, Issue 2 pages 338-347.

Shea, P. R., and Glauser, M. N., (2014) “Closed-Loop Active Flow Control of a Three-Dimensional Turret Wake,” AIAA Journal, doi: http://arc.aiaa.org/doi/abs/10.2514/1.J052810 Bai, Z., Wimalajeewa, T., Berger, Z.P., Wang, G., Glauser, M.N., Varshney, P., (2014).

“Low-Dimensional Approach for Reconstruction of Airfoil Data via Compressive Sensing’’  AIAA Journal http://arc.aiaa.org/doi/abs/10.2514/1.J053287 Berger, Z.P., Berry, M.G., Shea, P.R., Noack, B.R., Gogineni, S., Glauser, M.N., (2014).

“Active Flow Control for High Speed Jets Using Advanced Modeling Coupled with PIV”, Journal of Flow Turbulence and Combustion. DOI 10.1007/s10494-014-9580-2 C.J. Ruscher, B. V. Kiel, S. P. Gogineni, A. S. Magstadt, M. G. Berry, and M. N.Glauser. Toward     the development of a noise and performance tool for supersonic jet nozzles: Experimental and computational results. The Journal of the Acoustical Society of America, 136(4):2100, 2014.

Ruscher, C.J., Dannenhoffer, J.F., Glauser, M.N., “Repairing Occluded Data for a Mach 0.6 Jet via Data Fusion Techniques”, AIAA Journal, 2016.

A.S. Magstadt, M. G. Berry, Z. P. Berger, P. R. Shea, C. J. Ruscher, S. P. Gogineni, andS. Magstadt, M. G. Berry, Z. P. Berger, P. R. Shea, C. J. Ruscher, S. P. Gogineni, and M.N. Glauser. An investigation of sonic & supersonic axisymmetric jets: Correlations between flow physics and far-field noise. Journal of Flow Turbulence and Combustion, pages 1–26, 2016.

M.G. Berry, A. S. Magstadt, and Glauser M. N. Application of pod on time-resolved schlieren in supersonic multi-stream rectangular jets. Physics of Fluids, (To Appear), 2017.

Mustafa Cenk Gursoy

Degree(s):

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

Research Interests:

  • Wireless communications
  • Information theory
  • Signal processing
  • Cognitive radio systems
  • Energy efficiency
  • Quality of service provisioning in wireless systems
  • Wireless information-Theoretic security

Current Research:

Our recent research concentrated on the energy efficiency in wireless systems, performance analysis in wireless multiuser networks operating under quality of service (QoS) constraints, and energy-security tradeoffs in multi-antenna wireless communications.

We are also currently exploring cooperative and cognitive operation in wireless systems and the impact of interference. In particular, we study the spectrum and energy efficiency in cooperative relay channels, conduct performance analysis in cognitive radio channels in the presence of channel and/or sensing uncertainty, and investigate the throughput in fading interference channels under queuing constraints.

Teaching Interests:

  • Digital communications
  • Wireless communications
  • Information theory
  • Signals and systems
  • Probability theory and random processes

Honors:

  • Gordon Wu Graduate Fellowship, Princeton University
  • NSF CAREER Award, 2006
  • 2008 EURASIP Journal of Wireless Communications and Networking Best Paper Award
  • University of Nebraska-Lincoln (UNL) College Distinguished Teaching Award, 2009
  • Holling Family Master Teacher Award (UNL University-wide Teaching Award), 2009
  • Maude Hammond Fling Faculty Research Fellowship, 2011

Select Publications:

Journal Papers

D. Qiao, M. C. Gursoy and S. Velipasalar, “Energy Efficiency in Multiaccess Fading Channels under QoS Constraints,” EURASIP Journal on Wireless Communications and Networking: Special Issue on Green Radio, 2012:136, April 2012.

M. C. Gursoy, “Secure Communication in the Low-SNR Regime,” IEEE Transactions on Communications, vol. 60, no. 4, pp. 1114- 1123, April 2012.

D. Qiao, M. C. Gursoy, S. Velipasalar, “Transmission Strategies in Multiple Access Fading Channels with Statistical QoS Constraints,” IEEE Transactions on Information Theory, vol. 58, no. 3, pp. 1578-1593, March 2012.

S. Akin and M. C. Gursoy, “Performance Analysis of Cognitive Radio Systems under QoS Constraints and Channel Uncertainty,” IEEE Transactions on Wireless Communications, vol. 10, no. 9, pp. 2883-2895, Sept. 2011.

M. C. Gursoy, “MIMO Wireless Communications under Statistical Queueing Constraints,” IEEE Transactions on Information Theory, vol. 57, no. 9, pp. 5897-5917, Sept. 2011.

D. Qiao, M. C. Gursoy, and S. Velipasalar, “Secure Wireless Communication and Optimal Power Control under Statistical Queueing Constraints,” IEEE Transactions on Information Forensics and Security, vol. 6, no. 3, pp. 628-639, Sept. 2011.

D. Qiao, M. C. Gursoy, and S. Velipasalar “Energy Efficiency in the Low-SNR Regime under Queueing Constraints and Channel Uncertainty,” IEEE Transactions on Communications, vol. 59, no. 7, pp. 2006-2017, July 2011.

Conference Papers

D. Qiao, M. C. Gursoy, and S. Velipasalar, “Throughput Regions for Fading Interference Channels under Statistical QoS Constraints,” Proc. of the 2012 IEEE Global Communications Conference (Globecom), Dec. 2012.

M. Ozmen and M. C. Gursoy, “Energy Efficiency in Fading Interference Channels under QoS Constraints,” Proc. of the 2012 International Symposium on Information Theory and its Applications (ISITA), Oct. 2012.

Q. Chen and M. C. Gursoy, “Spectrum and Energy Efficiency in Two-Way Multi-Relay Networks with Selective Relaying,” Proc of the 2012 Military Communications Conference (MILCOM), Oct. 2012.

M. Ozmen and M. C. Gursoy, “Impact of Channel and Source Variations on the Energy Efficiency under QoS Constraints,” Proc. of the 2012 IEEE International Symposium on Information Theory (ISIT), Boston, July 2012.

G. Ozcan and M. C. Gursoy, “Channel Sensing and Estimation in Cognitive Relay Networks,” Proc. of the 2012 the IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Turkey, June 2012.

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

Software Engineering and design

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

Research interests:

  • Coding Theory
  • Information Theory
  • Foundations of Machine Learning

Current Research:

My current research focuses the algorithmic aspects of computing on structured data with applications to coding theory and foundational problems in machine learning.

Teaching Interests:

  • Foundations of Big Data Algorithms
  • Theory of Computation
  • Algorithms
  • Coding Theory

Selected Publications:

Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal. “Recovery of sparse linear classifiers from mixture of responses”. Thirty-fouth Conference on Neural Information Processing Systems (NeurIPS), 2020.

Venkata Gandikota, Arya Mazumdar, Ankit Rawat . “Reliable Distributed Clustering with Redundant Data Assignment”. IEEE Symposium on Information Theory (ISIT), 2020.

Larkin Flodin, Venkata Gandikota, Arya Mazumdar. “Superset Technique for Approximate Recovery in One-Bit Compressed Sensing”. Thirty-third Conference on Neural Information Processing Systems (NeurIPS), 2019.

Ferdinando Fioretto

Degree

  • Ph.D., Computer Science, New Mexico State University & University of Udine

Research interest

  • Artificial Intelligence
  • Machine Learning
  • Multiagent Systems
  • Data Privacy

Current Research

I work on artificial intelligenceprivacy, and machine learning. My recent work focuses on (1) how to make AI algorithms better aligned with societal values, especially privacy and fairness, and (2) how to use machine learning for solving complex optimization problems. I study these questions using methods and models from optimizationstatisticsdifferential privacy, and multiagent systems. For more details, please see my publications.

Teaching Interests

  • Artificial Intelligence
  • Data Privacy

Honors & Awards

  • Google Research Scholar Program award (2022) – Google [Link]
  • NSF CAREER Award (2022) – NSF [Press]
  • Best Paper Award (2022) – IEEE Transaction of Power System [Link]
  • Mario Gerla Young Investigator Award (2021) – ISSNAF [Press]
  • ACP Early Career Research Award (2021) – ACP [Link]
  • Outstanding Reviewer Award (2021) – NeurIPS [Link]
  • Best Paper Award (2021) – IEEE Transaction of Power System [Link]
  • Differential Privacy Temporal Map Challenge Award (2020) – NIST ($5,000) [Link]
  • Best AI Dissertation Award (2017) – AI*IA [Press]
  • Most Visionary Paper Award (2016) – AAMAS Workshop series [Link]
  • Best Student Paper Award (2013) – CMSB [Link]

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

Research Interests:

  • Optimization and design problems in dynamical networks;
  • Synchronization and consensus in multi-agent networks;
  • Optimal control subject to sparsity/architectural constraints.

Current Research:

Makan Fardad’s research interests are in the analysis and optimization of dynamical networks. Particular focus is on extending ideas from controls, dynamical systems, and optimization theory to problems in network science. Application areas include synchronization of oscillator networks, optimal control of vehicular formations, design of sensor networks, and problems in social networks such as community detection, leader selection, and consensus formation.

Courses Taught:

  • Optimization and optimal control (ELE 712)
  • Modern control (ELE 612)
  • Functional methods of engineering analysis (ELE 603)
  • Signals and systems (ELE 351)
  • Classical control systems (ELE 312)

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

Current Research:

Design automation of embedded processors with extension of super-scalar architectures to exploit inherent thread-level parallelism and instruction-level parallelism at run time within a single chip. Hardware-software interactions in such systems and their applicability to shared-memory systems, and their performance and functional verification.

Courses taught:

  • ECS 101 Introduction to Engineering and Computer Science
  • CSE 262 Digital System Design and Simulation with VHDL
  • CSE 561 Digital Machine Design
  • CSE 671 Embedded System Design
  • CSE 661 Advanced Computer Architecture
  • CSE 765 VLSI Testing and Verification

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.

Victor Duenas

Degrees:

  • Ph.D., 2018, University of Florida

Research Interests:

  • Nonlinear and Adaptive Control
  • Rehabilitation Robotics and Machines
  • Switched and Hybrid Systems & Control
  • Functional Electrical Stimulation (FES)
  • Cyber-Physical Systems
  • Bionics
  • Wearable Devices
  • Networked Control Systems
  • Human-Machine Interaction

Teaching Interests:

  • Classical Control
  • Nonlinear Control
  • Robotics
  • Neural Systems

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:

  • 2019 NSF CAREER Award
  • 2018 IBPSA-USA Emerging Contributor Award
  • 2017 Innovator of the Year, The University of Texas at San Antonio
  • 2017 Faculty Research Award, The University of Texas at San Antonio
  • 2017 Distinguished Service Award for IEA EBC Annex 66 Project
  • 2010 Isabel Sophia Liceaga Discretionary Fund Faculty Award, Carnegie Mellon University
  • 2009 Akram Midani Award, Carnegie Mellon University

Select Publications:

Dong, B., Liu, Y., Fontenot, H., Ouf, M., Osman, M., Chong, A., Qin, S., Salim, F., Xue, H., Yan, D. and Jin, Y., 2021. Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A review. Applied Energy, 293, p.116856.

Pang, Z., Chen, Y., Zhang, J., O’Neill, Z., Cheng, H. and Dong, B., 2021. How much HVAC energy could be saved from the occupant-centric smart home thermostat: A nationwide simulation study. Applied Energy283, p.116251.

Pang, Z., Chen, Y., Zhang, J., O’Neill, Z., Cheng, H. and Dong, B., 2020. Nationwide HVAC energy-saving potential quantification for office buildings with occupant-centric controls in various climates. Applied Energy279, p.115727.

Wu, W., Dong, B., Wang, Q.R., Kong, M., Yan, D., An, J. and Liu, Y., 2020. A novel mobility-based approach to derive urban-scale building occupant profiles and analyze impacts on building energy consumption. Applied Energy278, p.115656.

O’Brien, W., Wagner, A., Schweiker, M., Mahdavi, A., Day, J., Kjærgaard, M.B., Carlucci, S., Dong, B., Tahmasebi, F., Yan, D. and Hong, T., 2020. Introducing IEA EBC Annex 79: Key challenges and opportunities in the field of occupant-centric building design and operation. Building and Environment178, p.106738.

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

Dong, B., Yan, D. Li, Z.*,Jin, Y., Feng, X.H., Fontenot, H. 2018. Modeling occupancy and behavior for better building design and operation—A critical review. In Building Simulation (in Press). Springer Berlin Heidelberg. (IF: 1.170)-Invited Paper: 10 Years Anniversary.

Dong, B., Li, Z.*, Taha, A. and Gatsis, N., 2018. Occupancy-based buildings-to-grid integration framework for smart and connected communities. Applied Energy, 219, pp.123-137.(IF: 7.182)

Charles T. Driscoll

Degrees:

  • Ph.D., Environmental Engineering, Cornell University, 1980.
  • M.S., Environmental Engineering, Cornell University, 1976.
  • B.S. (with distinction), Civil Engineering, University of Maine 1974.

Lab/Center Affiliation:

  • Center for Environmental Systems Engineering

Research Interests:

  • Aquatic chemistry
  • Biogeochemistry
  • Climate change science and engineering
  • Environmental quality modeling
  • Ecosystem restoration
  • Ecosystem science
  • Limnology
  • Soil chemistry

Current Research:

My scholarly work addresses the effects of disturbance on forest, urban, freshwater and marine ecosystems, including air pollution (acid and mercury deposition), land-use, and climate change. Current research focuses on: recovery of eastern forest watersheds from acidic deposition; health and environmental justice co-benefits of decarbonization of the electricity sector; ecosystem restoration; ecosystem response to changing climate; mitigation of harmful algal blooms; and atmospheric deposition, watershed and surface water transport and transformations, and biotic exposure of mercury. The Driscoll laboratory has published more than 500 articles in peer-reviewed journals.  According to Google Scholar, these works have been cited over 47,000 times, with an H-index of 112. I have been designated as a highly cited researcher by Clairvate Analytics. I am a member of the National Academy of Engineering and a fellow of the American Association for the Advancement of Science.

To advance the “broader impacts” of research, I try to serve society through participation in various national and iTo advance the “broader impacts” of research, I try to serve society through participation in various national and international committees and panels; advising federal and state agencies; working with natural resource managers and policy makers; briefing Congress and state officials; and informing the media and the public on the results of research and environmental policy issues. I am particularly interested in multidisciplinary activities, and synthesis and translation of scientific and engineering research. These activities inform my research. Finally, I am interested in improving and advancing science communication. I want science and engineering information to be accessible to the public and policy-makers to help guide cost-effective decisions on natural resource management.

Courses Taught:

  • Aquatic Chemistry
  • Biogeochemistry
  • Field methods in Environmental Science and Engineering
  • Fundamentals of Engineering Review

I teach undergraduate and graduate-level classes in environmental engineering, sustainable civil and environmental systems, aquatic chemistry and biogeochemistry.  Graduate students, undergraduate students and even some high school students who work in my laboratory. These students have a keen interest in research. They are encouraged to interpret their results in the context of environmental problems and issues, to interact with the research community beyond Syracuse University, present the findings of their research at professional meetings and publish in peer-reviewed journals.

Honors:

  • Syracuse University Chancellor’s Lifetime Achievement Award, 2020.
  • Lead author, United Nations Environmental Programme, Intergovernmental Panel on Biodiversity and Ecosystem Services report on Land Degradation and Restoration Assessment, 2016-2018.
  • Fellow, American Association for the Advancement of Science 2018.
  • New Horizons, Lecture Clarkson University 2016
  • Batsheva de Rothschild Fellowship, Israel Academy of Sciences and Humanities, Lectureship at Israel University, 2015
  • Adirondack Research Consortium, Adirondack Achievement Award, 2012
  • National Research Council, Board of Environmental Studies and Toxicology, 2011-2017
  • S. National Committee for Soil Science, The National Academies, 2008-2010

Selected Publications:

Zhou, J., Z. Wang, X. Zhang and C. T.  Driscoll. 2021. Measurement of the vertical distribution of gaseous elemental mercury concentrations in soil pore air at subtropical and temperate forests. Environmental Science & Technology, 55(3):2132–2142. doi:10.1021/acs.est.0c05204

McDonnell, T. C., C. T. Driscoll, T. J. Sullivan, D. A. Burns, B. P. Baldigo, S.  Shao. 2021. Regional Target Loads of Atmospheric Nitrogen and Sulfur Deposition for the Protection of Stream and Watershed Soil Resources of the Adirondack Mountains, USA. Environmental Pollution, 281:117110. doi: 10.1016/j.envpol.2021.117110.

Zhou, J., Z. Wang, X. Zhang, C. T. Driscoll and C-J. Lin. 2020. Soil-atmosphere exchange flux of total gaseous mercury (TGM) in subtropical and temperate forest catchments. Atmospheric Chemistry and Physics, 20:16117–16133. doi:10.5194/acp-2020-816.

von Schneidemesser, E., C. T.  Driscoll, H.  E. Rieder and L. D. Schifer. 2020. How will air quality effects on human health, crops, and ecosystems change in the future? Philosophical Transactions A, 378: 20190330. doi:10.1098/rsta/378/2183.

Wasswa, J., C. T. Driscoll and T. Zeng. 2020. Photochemical characterization of surface waters from lakes in the Adirondack Region of New York. Environmental Science & Technology, 54(17):10654-10667. doi:10.1021/acs.est.0c02811.

Evers, D. C., A. K. Sauer, D. A Burns, N. S. Fisher, D. Bertok, E. M. Adams, M. E. Burton and C. T Driscoll. 2020. A synthesis of patterns of environmental mercury inputs, exposure and effects in New York State. Ecotoxicology, 29(10):1565-1589. doi:10.1007/s10646-020-02291-4

Olson, C. I., H. Fakhraei and C. T. Driscoll. 2020. Mercury emissions, atmospheric concentrations, and wet deposition across the conterminous United States: Changes over 20 years of monitoring. Environmental Science & Technology Letters. 7(6):376-381 doi:10.1021/acs.estlett.0c00185.

Hinckley, E. S., J. T. Crawford, H. Fakhraei, C. T. Driscoll. 2020. A shift in sulfur-cycle manipulation from atmospheric emissions to agricultural additions. Nature Geoscience. doi: 10.1038/s41561-020-0620-3.

Shao, S., C. T. Driscoll, T. Sullivan, D. A. Burns, B. Baldigo, G. Lawrence and T. McDonnell. 2020. The response of stream ecosystems in the Adirondack region of New York to historical and future changes in atmospheric deposition of sulfur and nitrogen. Science of Total Environment. 716:137113 doi:10.1016/j.scitotenv.2020.137113

Driscoll, C. T., K. F. Lambert, D. Burtraw, J. J. Buonocore, S. B. Reid, and H. Fakhraei. 2015 online. US power plant carbon standards and clean air and health co-benefits. Nature Climate Change 5:535-540.

Blackwell, B. D., and C. T. Driscoll. 2015. Deposition of mercury in forests along a montane elevation gradient. Environmental Science & Technology 49:5363-5370.

Fakhraei, H., and C. T. Driscoll. 2015. Proton and aluminum binding properties of organic acids in surface waters of the Northeastern, USA. Environmental Science & Technology 49:2939-2947.

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

Fakhraei, H., C. T. Driscoll, P. Selvendiran, J. V. DePinto, J. Bloomfield, S. Quinn, and C. Rowell. 2014. Development of a total maximum daily load (TMDL) for acid-impaired lakes in the Adirondack region of New York. Atmospheric Environment 95:277-287.

Battles, J. J., T. J. Fahey, C. T. Driscoll, J. D. Blum, and C. E. Johnson. 2014. Restoring soil calcium reverses forest decline. Environmental Science & Technology Letters 1:15-19.

Driscoll, C. T., R. P. Mason, H. M. Chan, D. J. Jacob, and N. Pirrone. 2013. Mercury as a global pollutant: Sources, pathways, and effects. Environmental Science & Technology 47:4967-4983.

John F. Dannenhoffer III

Degree(s):

  • Sc.D., Computational Fluid Dynamics, Massachusetts Institute of Technology, 1987;
  • M.E., Aerospace Engineering, Rensselaer Polytechnic Institute, 1978;
  • B.S., Aerospace Engineering, Rensselaer Polytechnic Institute, 1976

Lab/Center Affiliation(s):

  • Aerospace Computational Methods Lab (ACML)

Research Interests:

  • Applied computational geometry
  • Computational fluid dynamics
  • Computer-based engineering education
  • Collaborative design

Current Research:

Professor Dannenhoffer’s research interests are in the areas of computational fluid dynamics, applied computational geometry, indoor airflows, collaborative design, and computer-assisted education. His current research interests include ( I ) development of tools and techniques for significantly reducing the time needed to perform computational simulations, including the building of models, grid generation, and post processing, (2) application of computational methods to the prediction of indoor air flows, including home and/or office buildings and mission-critical spaces, such as data centers, (3) the use of web-based technologies to support collaborative design for distributed teams, and (4) the development of computer-based systems that help students learn and practice engineering methods.

Honors:

  • AIAA Shahyar Pirzadeh Memorial Award for Outstanding Paper in Meshing Visualization and Computational Environments for “Conservative Fitting for Multi-Disciplinary Analysis”, 2014.
  • Filtertech Award for Excellence in Education in Mechanical and Aerospace Engineering, 2012.
  • Filtertech Award for Excellence in Education in Mechanical and Aerospace Engineering, 2011.
  • LCS Faculty Excellence Award “for ARHIMEDES Software Upgrade”, 2010.
  • Filtertech Award for Excellence in Education in Mechanical and Aerospace Engineering, 2005.

Courses Taught:

  • ECS101: Introduction to Engineering & Computer Science (Aero)
  • ECS104: Engineering Computational Tools
  • AEE342: Aerodynamics
  • AEE472: Synthesis of Aerospace Systems
  • MAE430:Introduction to Design Optimization
  • MAE671: Numerical Methods in Mechanical Engineering

Selected Publications:

Dannenhoffer, J.F., and Ollivier-Gooch, C., “Methods for the Evaluation of Candidate Meshes for the Geometry and Mesh Generation Workshop”, to be presented at the 23rd AIAA Computational Fluid Dynamics Conference, June 2017.

Blum, M.M., and Dannenhoffer, J.F., “Integrated use of programming in Machine Design Course”, to be presented at the 124th ASEE Annual Conference & Exposition, June 2017.

Dannenhoffer, J.F., and Haimes, R., “Using Design-Parameter Sensitivities in Adjoint-Based Design Environments”, AIAA-2017-0139, presented at the AIAA SciTech 2017, January 2017.

Dannenhoffer, J.F, and Green, M.A., “Use of a Full-motion Flight Simulator for Teaching Aircraft Performance and Dynamics”, AIAA-2017-0299, presented at the AIAA SciTech 2017, January 2017.

Chawner, J.R., Dannenhoffer, J.F., and Taylor, N.J., “Geometry, Mesh Generation, and the CFD 2030 Vision”, AIAA-2016-3485, presented at AIAA Aviation 2016, June 2016.

Ruscher, C.J., Dannenhoffer, J.F., and Glauser, M.N., “Repairing Occluded Data for a Mach 0.6 Jet via Data Fusion”, AIAA Journal, Vol. 55, No. 1, (2017), pp. 255-264.

Jia, P, and Dannenhoffer, J.F., “Generation of Parametric Aircraft Models from a Cloud of Points”, AIAA-2016-1926, presented at AIAA SciTech 2016, January 2016.

Rossetti, J.S., Dannenhoffer, J.F., and Green, M.A., “Snapshot Proper Orthogonal Decomposition of Cylinder Wake Flow in the Lagrangian Frame”, AIAA-2016-1929, presented at AIAA SciTech 2016, January 2016.

Cliff I. Davidson

Degree(s):

  • Ph.D., Environmental Engineering Science, California Institute of Technology, 1977.
  • M.S., Environmental Engineering Science, California Institute of Technology, 1973.
  • B.S., Electrical Engineering, Carnegie Mellon University, 1972.

Lab/Center Affiliation(s):

  • Center of Excellence in Environmental and Energy Systems
  • Director, Center for Sustainable Engineering

Research Interests:

  • Environmental transport and fate of pollutants
  • Sources of airborne particles in urban and remote areas
  • Measurement and modeling of atmospheric dry and wet deposition of pollutants
  • Emission inventories for airborne lead
  • Emission inventories for airborne ammonia
  • Human perceptions of energy use from day-to-day activities
  • Assessment of performance of green infrastructure for stormwater management
  • Sustainable development in urban areas
  • Use of field measurements to promote STEM education

Current Research:

Davidson is currently studying the rapid changes in development of green infrastructure (GI) for stormwater management taking place in US urban areas. Examples of GI include green roofs, green walls, constructed wetlands, street trees, rain gardens, expansion of urban green space, and permeable pavement. One project involves the role of political, economic, and social factors that have enabled GI to be adopted at increasing rates in recent years. This project is examining the reasons why several US metro regions including Syracuse have accepted green infrastructure wholeheartedly, while other urban areas have decided against the use of GI, opting for conventional gray infrastructure such as holding tanks, larger pipes, and expanded treatment plants. A second project is examining the performance of GI projects in Syracuse, currently focusing on the Convention Center Green Roof. This project involves measuring the incoming precipitation, water storage in the growth medium and plants on the roof, rates of evaporation and evapotranspiration from the roof, and water flows in the drain pipes running from the roof into the combined sewer system. A third project is examining chemical contaminants in stormwater runoff, identifying the sources of those contaminants, and studying their eventual fate.

Courses Taught:

  • CEE 562 Air Resources I
  • ECS 650 Managing Sustainability: Purpose, Principles, and Practices
  • CEE 463/663 Introduction to Sustainable Engineering
  • Professional development workshops for faculty around the country on developing sustainability content for engineering courses

Honors:

  • Fellow, Association of Environmental Engineering and Science Professors, elected 2015
  • Fellow, American Association for Aerosol Research, elected 2008
  • United Methodist University Scholar-Teacher Award, Syracuse University 2014
  • William H. and Frances M. Ryan Award for Meritorious Teaching, Carnegie Mellon University, 2009.
  • 2009 Outstanding Paper Award, Literati Network Awards for Excellence, Emerald Group Publishing, for a paper in the International Journal of Sustainability in Higher Education that appeared in 2008.
  • Phillip Dowd Fellowship, College of Engineering, CMU, 2007.
  • Outstanding Educator Award, Association of Environmental Engineering and Science Professors, 2007.
  • Charles Beyer Distinguished Lecturer, Civil and Environmental Engineering, University of Houston, 2006.
  • American Association for Aerosol Research, Service Award for serving as Co-Chair of the International Conference “Particulate Matter: Atmospheric Sciences, Exposure, and the Fourth Colloquium on PM and Human Health,” Pittsburgh, PA, April 1-4, 2003.
  • Jubilee Chair Professorship, Chalmers University, Gothenburg, Sweden, 1997-98.
  • Parsons ES/AEEP Award for serving as thesis advisor to the recipient of the 23rd Annual Doctoral Thesis Award, Parsons Engineering Science and Association of Environmental Engineering Professors, 1996.
  • Benjamin Richard Teare Award for Excellence in Engineering Education, Carnegie Mellon University, 1992.
  • Outstanding Professor of the Year Award, American Society of Civil Engineers, Pittsburgh Section, 1989.
  • Ralph R. Teetor Award given to young engineering educators with less than five years experience, Society of Automotive Engineers, 1982.
  • George Tallman Ladd Award for Outstanding Research, Carnegie Mellon University, 1980.
  • First Annual Lincoln T. Work Award, Fine Particle Society, August 1976.
  • Chosen by Carnegie Mellon University as the CMU nominee for “Outstanding Electrical Engineering Student in the U.S., 1972″, Sponsored by Eta Kappa Nu.

Select Publications:

Squier-Babcock, Mallory and Cliff I. Davidson, Hydrologic performance of an extensive green roof in Syracuse, NY, Water, Vol. 12, Number 6, https://doi.org/10.3390/w12061535, May 28, 2020.

Johnson, Alexander J. and Cliff I. Davidson, Measuring atmospheric dry deposition with large surrogate surfaces for improved time resolution, Atmospheric Environment, Vol. 198, Number 1, pages 489-495, https://doi.org/10.1016/j.atmosenv.2018.10.055, Feb. 2019.

Markolf, Samuel A., Mikhail V. Chester, Daniel A. Eisenberg, David M. Iwaniec, Benjamin L. Ruddell, Cliff I. Davidson, Rae Zimmerman, Thaddeus R. Miller, and Heejun Chang, Interdependent Infrastructure as Linked Social, Ecological, and Technological Systems (SETS) to Address Lock-In and Enhance Resilience, Earth’s Future, Vol. 6, Issue 12, pages 1638-1659, http://dx.doi.org/10.1029/2018EF000926, December 2018.

Rosenzweig, Bernice R., Lauren McPhillips, Heejun Chang, Chingwen Cheng, Claire Welty, Marissa Matsler, David Iwaniec, and Cliff I. Davidson, Pluvial Flood Risk and Opportunities for Resilience, Wiley Interdisciplinary Reviews: Water, Vol. 5, Issue 6, http://dx.doi.org/10.1002/wat2.1302, July 2018.

Flynn, Carli D., Cliff I. Davidson, and Sharon Dotger, Development and psychometric testing of the Rate and Accumulation Concept Inventory, Journal of Engineering Education, Vol. 107, Issue 3, https://dx.doi.org/10.1002/jee.20226, September 29, 2018.

Davidson, C.I., Brad R. Allenby, Liv M. Haselbach, Miriam Heller, and William E. Kelly, Educational materials on sustainable engineering: do we need a repository? Elementa, February 23, 2016, DOI10.12952/journal.elementa.000089.

Thong Dang

Degree(s):

  • Ph.D., MIT

Research Interests:

  • Fluid Mechanics, CFD
  • Aerodynamics, Propulsion, Turbomachine
  • Energy & Indoor Environment Quality

Current Research:

Professor Dang’s research interests are in fluid mechanics (CFD), aerodynamics, propulsion, turbomachine and energy and indoor environment quality.

In the area of aerodynamics/propulsion/turbomachine, research interests include novel airfoil concepts for propulsion and circulation control by embedding crossflow fans into the airfoil/wing, body-force modelling of bypass fan system in full aircraft CFD simulations under 3D inlet distortion, development of highly-coupled coil and wide-angle vane-diffuser axial fan concept, aerodynamics and design of cooling fan in compact and high-power computer servers.

In the area of lndoor Air Quality (IAQ) and Energy Systems, research interests include studies to improve the personal micro-environment in built-environments (e.g. building offices, aircraft cabins) using local air delivery and removal systems, control of natural ventilation in tall buildings with aerodynamic shape via manipulating building envelope pressure loading with emphasis on the use of novel concepts to synergistically harvest wind energy and improve IAQ, and flow/thermal management from server to data-center room levels.

Courses Taught:

  • AEE 343 Compressible Flow
  • AEE 446 Aerospace Propulsion
  • MAE 571 Applications of CFD
  • MAE 585 Principles of Turbomachines
  • MAE 643 Fluid Dynamics
  • MAE 771 Computational Fluid Mechanics

Selected Publications:

Mao, Y. and Dang, T., “A Three-Dimensional Body-Force Model for Nacelle-Fan Systems under Inlet Distortion,” Aerospace Science and Technology, vol. 106, November 2020.

Mao, Y. and Dang, T., “A Simple Approach for Modeling Fan Systems with a CFD-Based Body-Force Model”, AIAA Journal of Propulsion and Power, June 2020.

Kong, M., Zhang, J., Dang, T., Hedge, E., Teng, T., Carter, B., Chianese, C., and Khalifa, E., “Micro-environmental Control for Efficient Local Cooling: Results from Manikin and Human Subject Tests,” Building & Environment, 160, 2019.

Kong, M., Dang, T., Zhang, J. and Khalifa, E., “Micro-environmental Control for Local Heating: CFD Simulation and Manikin Test Verification,” Building & Environment, 147, 2019.

Phan, N., Welles, A., Sarimurat, M. and Dang, T., “Leading Edge Embedded Fan Airfoil Concept – A New Powered High Lift Technology,” presented at the International Power Lift Conference, Bristol, UK, November 2018.

Viktor J. Cybulskis

Education

  • Postdoctoral, Chemical Engineering, California Institute of Technology, 2016-2018
  • Ph.D., Chemical Engineering, Purdue University, 2016
  • B.S., Chemical Engineering, Purdue University, 2005

Research interests

  • Heterogeneous Catalysis
  • Kinetics and Reaction Mechanisms
  • Synthetic Materials Chemistry
  • Zeolites and Molecular Sieves

Current Research

The Cybulskis lab focuses on understanding the molecular details of heterogeneously catalyzed reactions and designing reactive micro-environments to enable pathways for selective chemical transformations that safeguard our ecosystem from harmful emissions and pollutants. We are primarily interested in zeolites and molecular sieves. The well-defined, molecular-sized pores and cavities in these structures can be tailored with distinct catalytic sites and confining voids, allowing them to function as tunable nanoreactors.

Our experimental research approach combines materials synthesis, catalyst characterization, fundamental reaction kinetics, and mechanistic studies to fundamentally understand how the physicochemical properties of porous inorganic solids govern their intrinsic catalytic performance for applications in chemical manufacturing and emissions control. Current research topics include:

  • Carbon-carbon coupling of oxygenated molecules by cooperative acid-base sites in zeolites
  • Tandem catalytic pathways for direct epoxidation of alkenes
  • Methane abatement through low-temperature catalytic oxidation

Teaching Interests

  • CEN 412 Chemical Engineering Laboratory II
  • CEN 474 Process Design
  • CEN 429/649 Methods in Materials Characterization

Selected Publications

Roslova, M.; Cybulskis, V.J.; Davis, M.E.; Zones, S.I.; Zou, X.; Xie, D. “Structure Elucidation and Computationally Guided Synthesis of SSZ-43: A One-Dimensional 12-Membered Ring Zeolite with Unique Sinusoidal Channels.” Angewandte Chemie International Edition2022, DOI: 10.1002/anie.202115087.

Zhu, R.; Liu, B.; Wang, S.; Huang, X.; Schuarca, R.L.; He, W.; Cybulskis, V.J.; Bond, J.Q. “Understanding the Mechanism(s) of Ketone Oxidation on VOx/γ-Al­23.” Journal of Catalysis2021, 404, 109-127.

Guo, Q.; Ren, L.; Kumar, P.; Cybulskis, V.J.; Mkhoyan, A.K.; Davis, M.E.; Tsapatsis, M.; “A Chromium Hydroxide/MIL-101(Cr) Composite Catalyst and its use for Selective Glucose Isomerization to Fructose.” Angewandte Chemie International Edition. 2018, 130, 5020-5024.

Cybulskis, V.J.; Bukowski, B.C.; Tseng, H.-T.; Gallagher, J.R.; Wu, Z.; Wegener, E.; Kropf, A.J.; Ravel, B.; Ribeiro, F.H.; Greeley, J.; Miller, J.T. “Zinc Promotion of Platinum for Catalytic Light Alkane Dehydrogenation: Insights into Geometric and Electronic Effects.” ACS Catalysis. 2017, 7(6), 4173-4181.

Cybulskis, V.J.; Pradhan, S.U.; Lovón-Quintana, J.J.; Hock, A.S.; Hu, B.; Zhang, G.; Delgass, W.N.; Ribeiro, F.H.; Miller, J.T. “The Nature of the Isolated Gallium Active Center for Propane Dehydrogenation on Ga/SiO­2.” Catalysis Letters. 2017, 147, 1252-1262.

Cybulskis, V.J.; Wang, J.; Pazmiño, J.H.; Ribeiro, F.H.; Delgass, W.N. “Isotopic Transient Studies of Sodium Promotion of Pt/Al2O3 for the Water-Gas Shift Reaction.” Journal of Catalysis. 2016, 339, 163-172.

Andria Costello Staniec

Andria Costello Staniec was named Associate Provost for Academic Programs for Syracuse University in July of 2012, becoming the senior leader in Academic Affairs charged with ensuring the quality and effectiveness of academic programs and the academic success of SU students, including the collaborative development of policies and programs that promote instructional quality, advising effectiveness and student success.

Costello Staniec joined the faculty at Syracuse University in January, 1999. She received a Bachelor of Science in Applied Biology from the Georgia Institute of Technology in 1992. Dr. Costello Staniec earned her Master’s and doctoral degrees in Environmental Engineering Science from the California Institute of Technology in 1995 and 1999, respectively. Her graduate study was performed in the broad area of applied environmental microbiology. As a graduate student, Dr. Costello Staniec was awarded a National Science Foundation Graduate Fellowship. Dr. Costello Staniec is a member of the American Society for Engineering Education, the American Chemical Society, the American Society for Microbiology, the Association of Environmental Engineering and Science Professors, and the Society of Women Engineers.

Costello Staniec teaches courses in the department of Civil and Environmental Engineering at both the undergraduate and graduate levels. Her classes are in the areas of environmental microbiology and biotechnological applications in engineering. Costello Staniec conducts multidisciplinary research aimed at elucidating the complex relationships between microbial diversity and function. Her research is focused on the development and application of molecular and microbiological tools to investigate both natural and engineered systems. Costello Staniec’s research interests include issues related to bioremediation, global biogeochemical cycles, and changes in microbial communities in response to anthropogenic disturbance.

Research Interests:

Costello Staniec is currently investigating the diversity of the methane oxidizing bacteria (methanotrophs) in soils in the northeastern United States. Methanotrophs are a group of bacteria that grow on methane as their sole source of carbon and energy. They can be isolated from a wide variety of environments and are believed to be ubiquitous in nature. Increased attention has been focused on the ecological implications of methane oxidation and the role of methanotrophs in both the global methane budget and the bioremediation of halogenated solvents. Research in the Costello Staniec lab has led to the development of tools designed to assess the microbial diversity and function of methanotrophs in natural and engineered systems. Costello Staniec is currently investigating the role of methanotrophs in the global carbon cycle at study sites in New York, Vermont, New Hampshire, and Maine.

In addition to her work with methanotrophs, Costello Staniec is involved with work relating microbial diversity to function at the Hubbard Brook Experimental Forest (HBEF). Her research at the HBEF addresses the factors controlling microbial diversity in a northern hardwood forest and the relationships between microbial diversity, community structure, and microbial function in the ecosystem. Recent work includes the study of the effects of an entire watershed manipulation (liming) on soil microbial populations as well as investigations into the effects of acidic deposition on belowground microorganisms.

Teaching Interests:

  • Environmental Engineering
  • Environmental Microbiology
  • Bioremediation
  • Biotechnology

Shiu-Kai Chin

Degree:

  • Ph. D. Syracuse University

Lab/Center Affiliation(s):

  • Center for Information Systems Assurance and Trust
  • Institute for National Security and Counter Terrorism

Research Interests:

  • Computer security
  • Systems assurance
  • Formal verification

Current Research:

Shiu-Kai Chin’s research uses mathematical logic for the design and verification of trustworthy computer systems. Examples of computer systems that must be trustworthy are command and control systems, financial services, and distributed control of the power grid. His focus is on policy-based design and verification with an emphasis on using computer-assisted reasoning using higher-order logic theorem provers.

Shiu-Kai supports the Air Force’s research in trustworthy systems and hardware-based security. His work with JP Morgan Chase was used to reason about the security and integrity of credentials and entitlements in large-value commercial transactions.

Courses Taught:

  • Hardware design
  • Access control
  • Secure computer architecture
  • Certified security by design

Honors:

  • Provost Faculty Fellow
  • Laura J. and L. Douglas Meredith Professor for Teaching Excellence
  • Chancellor’s Citation for Outstanding Contributions to the University’s Academic Programs
  • 2005 Syracuse University Outstanding Teacher of the Year
  • Crouse Hinds Award for Excellence in Education

Selected Publications:

Shiu-Kai Chin, “Teaching Undergraduates Certified Security by Design,” 19th Colloquium for Information Systems Security Education, Las Vegas, NV, June 15-17, 2015.

Glenn Benson, Shiu-Kai Chin, Sean Croston, Karthick Jayaraman, Susan Older, Banking on interoperability: Secure, interoperable credential management, Computer Networks, Volume 67, 2014, pp. 235-251.

Shiu-Kai Chin, Erich Devendorf, Sarah Muccio, Susan Older, and James Royer, “Formal Verification for Mission Assurance in Cyberspace: Education, Tools, and Results,” Proceedings of the 16th Colloquium for Information Systems Security Education, Lake Buena Vista, FL, June 11-13, 2012, pp. 75—82.

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

Shiu-Kai Chin, “Logic Design for Access Control, Security, and Trust,” (Invited Keynote) Engineering of Reconfigurable Systems and Algorithms (ERSA’11) Las Vegas, 18-21 July 2011

Shiu-Kai Chin, Sarah Muccio, Susan Older, and Thomas N. J. Vestal, “Policy-Based Design and Verification for Mission Assurance,” in Igor Kotenko and Victor Skormin (Eds.), Computer Network Security, 5th International Conference on Mathematical Methods, Models and Architectures for Computer Network Security, MMM-ACNS 2010, St. Petersburg, Russia, September 2010.

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

Biao Chen

Degree(s):

  • Ph. D., University of Connecticut

Lab/Center Affiliation(s):

  • Communication Laboratory

Research Interests:

  • Statistical inference applied to decentralized systems
  • Network information theory
  • Signal processing for MIMO, multi-user, and multi-carrier communications

Current Research:

My current work focuses on decentralized inference and in particular, how inference functions can impact the value of information in a networked system. Specific topics of interests include the sufficiency principle in the decentralized setting that guides optimal data reduction, the role of feedback and interactive communication in networked inference, and architectural issues in data fusion systems.

Another area of current interest is in characterizing the performance limits of multi-user networks, and in particular the classical interference channel. On the applied side, we have been involved in developing MIMO communication systems for airborne platforms when MIMO channels exhibits rank deficiency due to the lack of scatterers and in developing robust, efficient, and secure software radio systems.

Courses Taught:

  • ELE606: Probability
  • ELE651: Digital Communications
  • ELE751: Wireless Communications
  • ELE757: Information Theory

Honors:

  • NSF Career Award (2006)
  • Finalist, DARPA Spectrum Challenge (2013-2014)
  • IEEE Fellow (2015)

Selected Publications:

Akofor and B. Chen,”Interactive distributed detection: architecture and performance analysis,”IEEE Trans. Information Theory. vol. 60, pp.6456-6473, Oct. 2014.

Xu, S. Zhu and B. Chen,”Decentralized data reduction with quantization constraints,”IEEE Trans. Signal Processing, vol. 62, pp. 1775-1784, April 2014.

Chen, B. Chen, and P.K. Varshney,”A new framework for distributed detection with conditionally dependent observations,”IEEE Trans. Signal Processing, vol. 60, pp. 1409-1419, March 2012.

Shang, G. Kramer, and B. Chen,”A new outer bound and the noisy-interference sum-rate capacity for Gaussian interference channels,”IEEE Transactions on Information Theory, vol. 55, pp. 689-699, February 2009.

Chen, R. Jiang, T. Kasetkasem, and P.K. Varshney,”Channel aware decision fusion for wireless sensor networks,”IEEE Trans. Signal Processing, vol. 52, pp. 3454-3458, Dec. 2004.

Ruth Chen

Degree(s):

  • MPH, Ph.D.

Lab/Center Affiliation(s):

  • Building Energy and Environmental Systems Laboratory

Research Interests:

  • Risk Assessment
  • Environmental Regulation
  • Injurious Effect of Environmental Chemicals
  • Aerosol Delivery of Chemo-preventive Agents
  • Alternative Energy
  • Environmental Education
  • Metabolism of Hepatotoxic Aliphatic Halogenated Hydrocarbons

Current Research:

I am in consultation and exploration with Biomedical, Chemical, and Environmental Engineering faculty members to form collaboration efforts.

Honors:

  • NIH Grant in Aerosol Delivery of Chemopreventive Agents in the Treatment of Lung Cancer (2011)
  • Center for Disease Control and Prevention Bio-monitoring Grant (2002)
  • USEPA Pesticide Exposure Outreach Grant (2002)
  • NIH Staff Fellowship (1984-87)

Courses Taught:

  • Environmental Risk assessment methodology
  • Environmental toxicology
  • Alternative energy
  • Human health impact of exposures to environmental toxins
  • Education in global response to energy and environmental challenges

Selected Publications:

Jingjie. Zhang, Huijing Fu,, Jing Pan, Yian Wang, Ruth Chen, Da-Ren Chen, and Ming You (2013). Aerosolized Iressa Decreases Lung Tumorigenesis with Minimal Adverse Systemic Effect, to be submitted to Lung Cancer Research.

Jingjie Zhang, Huijing Fu, Jing Pan, Ruth Chen, Yian Wang, Da-Ren Chen, and Ming You (2013). Chemoprevention of Lung Carcinogenesis by the Combination of Aerosolized Budesonide and Oral Polyphenon E in A/J Mice, to be submitted to Molecular Carcinogenesis.

Madelyn Ball, Ruth Chen, and Yinjie J Tang (2012). The “Some Sense” of Biofuels. J. Petroleum.Environmental Biotechnology, 3:4.

Qi Zhang, Jing Pan, Jingjie Zhang, Pengyuan Liu, Yian Wang, Ruth Chen, Da-Ren Chen, Ronald Lubet, and Ming You (2011). Aerosolized Targretin Decreases Lung Tumorigenesis Without Increasing Triglyceride and Cholesterol Level in Serum, Lung Cancer Prevention, 4(2):270-276.

Huijing Fu, Jingjie Zhang, Jing Pan, Qi Zhang, Yan Lu, Weidong Wen, Ronald A. Lubet, Eva Szabo, Ruth Chen, Yian Wang, Da-Ren Chen, and Ming You (2011), Chemoprevention of Lung Carcinogenesis by the Combination of Aerosolized Budesonide and Oral Pioglitazone in A/J Mice, Molecular Carcinogenesis, 50(12):913-921.

H. Fu, J. He, F. Mei, Q. Zhang, Y. Hara, S. Ryota, R. A. Lubet, R. Chen, Da-Ren Chen, and M. You (2009). Anti-lung Cancer Effect of Epigallocatechin-3-gallate is Dependent on Its Presence in a Complex Mixture (Polyphenon E), Cancer Prevention Research, 2(6):531-537. (Cover page article)

C.Y. Roger Chen

Degree(s):

  • Ph. D., University of Illinois at Urbana-Champaign, 1987

Research Interests:

  • VLSI timing analysis and simulation
  • Transistor/circuit level power leakage reduction
  • Software debugging and verification
  • Distributed data sharing and collaboration

Current Research:

A current work that a doctoral student and I are working on is to develop techniques to reduce leakage power of circuits during idle times. Two specific techniques are developed: (1) Leakage power behavior is examined for reordering serially connected transistor blocks. Based on that, we can then determine a primary input vector to a circuit to reduce its leakage power during idle mode. (2) Effect of body bias is studied for nano-scale transistor. A hybrid technique (mixing reverse body bias and forward body bias) is developed to reduce power leakage during idle mode. Another current work that a doctoral student and I are working on is to develop a tool for software debugging and verification. Traditional IDE allows setting of break points, but provides minimum supports in reasoning and bug locating. The goal of this research work is to allow programmers to query various properties of programs and help locating the causes of property violations. Another current work that a doctoral student and I are working on is to design a transistor level circuit simulator, which gives an accuracy near that of SPICE, and can handles much larger circuits in much less run time. Other research work involves distributed data sharing and collaboration, design of platform and protocol for emergency response systems, etc.

Teaching Interests:

  • VLSI timing analysis
  • VLSI computer-aided design
  • Transistor level leakage power reduction
  • Multimedia information systems
  • Modeling and performance evaluation of computer/communication systems
  • Object-oriented databases
  • Computer networks
  • Parallel/distributed processing
  • Computer architecture

Select Publications:

Don P. McGarry, C.Y. Roger Chen.; “IC.NET — Incident Command “Net”: A system using EDXL-DE for intelligent message routing,” 2010 IEEE International Conference on Technologies for Homeland Security (HST), pp. 197 – 203, Nov. 2010.

Jae Woong Chun and C. Y. Roger Chen, A Novel Leakage Power Reduction Technique for CMOS Circuit Design, IEEE International SoC Design Conference (ISOCC), Nov. 1010.

Veerapaneni Nagbhushan, C. Y. Roger Chen: Modeling and reduction of complex timing constraints in high performance digital circuits. IEEE International Conference on Computer Design (ICCD) 2009

Ting-Wei Chiang, C Y Roger Chen and Wei-Yu Chen , “A Technique for Selecting CMOS Transistor Orders,” IEEE International Conference on Computer Design (ICCD), Oct. 2007.

Ting-Wei Chiang, C Y Roger Chen and Wei-Yu Chen, “An Efficient Gate Delay Model for VLSI Design,” IEEE International Conference on Computer Design (ICCD), Oct. 2007.

David Chandler

Degrees:

  • Ph.D., Cornell University, Agricultural and Biological Engineering, 1998.
  • M.S., Cornell University, Agricultural and Biological Engineering, 1995.
  • B.A., University of Vermont, Chemistry, 1984.

Research Interests:

  • Hydrology
  • Climate change
  • Green infrastructure
  • Sustainable development

Current Research:

My research investigates hydrologic change related to anthropogenic ecologic and climatic drivers. The primary lenses through which I view change are alteration of flow paths, water balance or infiltration capacity. To address these concerns, I have engaged in research projects targeted to guide land management in a wide range of geomorphologic and climatic settings.

Deforestation and rangeland succession: Wildland hydrology is governed primarily by subsurface flowpaths and plant water relations. Changes in land cover or climate often alter either of these controls in a manner that drives a complex response. My research focuses on the evolution of system properties for a given land cover and the consequences of abrupt alteration.

Climate change: Climate change is an important driver for terrestrial hydrology, yet most contemporary climate models operate at length and time scales much greater than those governing hydrologic processes. My students reconcile this problem by developing empirical relationships from long term data sets to predict the likely effects of continued climate change on regional hydrology.

Urban storm water: Approximately seven hundred cities in the USA require new infrastructure to replace the outdated combined sanitary sewer and storm drain systems. Many are interested in replacing or supplementing these systems with green infrastructure. I am currently developing capacity to understand the hydrologic performance, ecosystem interactions and functional limitations of the varied and widespread green infrastructure projects currently under construction in Syracuse and other cities in the Northeast USA.

Sustainability. The intersection of climate change, urbanization, culture and ecosystem function leads to complex and uncertain futures for urban sustainability. My group contributes data management expertise and geospatial analyses of cross cutting drivers of urban change to large research consortia interested in sustainability.

Courses Taught:

  • CEE 327 Fluid Mechanics
  • CEE 329 Probability, Statistics and Risk
  • CEE 352 Water Resources Engineering
  • CEE 413/613 Physical Hydrology
  • CEE 400/600 Snow in the Natural and Built Environment
  • CEE 659 Advanced Hydrology

Selected Publications:

Shafiei Shiva, J.; Chandler, D.G. Projection of Future Heat Waves in the United States. Part I: Selecting a Climate Model Subset. Atmosphere 2020, 11, 587

Fayaz, N., Condon, L.E. & Chandler, D.G. Evaluating the sensitivity of projected reservoir reliability to the choice of climate projection: A case study of Bull Run Watershed, Portland, Oregon. Water Resour Manage 341991–2009 (2020). https://doi.org/10.1007/s11269-020-02542-3

Hwang, K., D.G. Chandler, & SB Shaw. (2020) Patch scale evapotranspiration of wetland plant species by ground-based infrared thermometry. Agricultural and Forest Meteorology (287), ISSN 0168-1923, https://doi.org/10.1016/j.agrformet.2020.107948.

Chandler, D.G., Y. Cheng, M.S. Seyfried, M.D. Madsen, C.E. Johnson, and C.J. Williams. 2018. Seasonal wetness, soil organic carbon, and fire influence soil hydrological properties and water repellency in a sagebrush-steppe ecosystem. Water Resources Research, 54. https://doi.org/10.1029/

Chandler, D.G., M.S. Seyfried, J.P. McNamara, and K. Hwang. 2017. Inference of soil hydrologic parameters from long term soil moisture records. Frontiers in Earth Science: 5: 25. doi: 10.3389/feart.2017.00025.

Elizabeth Carter

Degrees:

  • Ph.D. Environmental Engineering, Cornell University
  • MSc. Environmental Information Systems, Cornell University
  • B.S. magna cum laude, University of Massachusetts, Amherst

Research Interests:

  • Disaster response and mitigation
  • Hydrometerology and hydroclimatology
  • Detection of water from space
  • Space/time statistics
  • Machine learning/artificial intelligence
  • High-performance computing
  • Algorithmic bias in water resources management and engineering ethics

Honors:

  • NASA-USGS postdoctoral fellow
  • USDA-AFRI predoctoral fellow
  • Cornell University Graduate Dean’s scholar (2013-2019)

Current research:

Dr. Carter’s research in applied computational hydroclimatology attempts to fuse tools from modern data science with risk assessment in water resources engineering to mitigate social, environmental, and economic impacts of hydroclimatic extremes. Our success in utilizing our water resources infrastructure to reduce damages associated with the variable hydroclimate depends on our ability to diagnose and predict this hydroclimate variability at timescales which are relevant for adaptive management. This task is hampered by spatial and temporal sparsity of observations of hydrologic and hydroclimatic flux, complex patterns of space/time covariability in observations, and extremely low signal-to-noise ratio in hydroclimatic systems at the local scale. My research seeks to combat these obstacles by 1) integrating new sources of observational data, mostly from space-based assets, into diagnostic/predictive frameworks of hydrologic/hydroclimatic flux; 2) grounding data-driven analysis in a physical understanding of the hydrologic system through feature engineering and model diagnostics; 3) developing and utilizing data science algorithms which are appropriate for multivariate space/time systems, and 4) quantifying bias, error, and uncertainty in space/time models. Applications include automatic flood detection from multispectral and synthetic aperture radar (SAR) imagery for disaster response (NASA/USGS/NGA), developing custom hydrometeorological forecasts for adaptive reservoir management, detecting drivers of hydroclimatic variability of the Great Lakes, and quantification of evapotranspiration and groundwater flux from space (NASA/USDA).

Recent publications:

Carter, E., Herrera, D. A., & Steinschneider, S. (2021). Feature engineering for subseasonal-to-seasonal warm-season precipitation forecasts in the Midwestern US: towards a unifying hypothesis of anomalous warm-season hydroclimatic circulation. Journal of Climate, 1-67.

Sleeter, R., Carter, E., Jones, J.W., Eggleston, J., Kroeker, S., Ganuza , J., Dobbs, K., Coltin, B., McMichael, S., Shastry, A., Longhenry, R., Ellis, B., Jiang, Z., Phillips, J., and Furlong, P. M. (2021). Satellite-Derived Training Data for Automated Flood Detection in the Continental U.S.: U.S. Geological Survey data release, https://doi.org/10.5066/P9C7HYRV.

Tonitto, Christina; Woodbury, Peter; Carter, Elizabeth. (2020). Predicting greenhouse gas benefits of improved nitrogen management in North American maize. Journal of Environmental Quality 49 (4), 882-895.

Knighton, James; Pleiss , Geoff; Steinschneider, Scott; Carter, Elizabeth; Lyon,Steven; Walter, M. Todd. (2019). Reproduction of regional precipitation and discharge extremes with meso-scale climate products via machine learning: an evaluation for the Eastern CONUS. Journal of Hydrometeorology.

Carter, Elizabeth; Melkonian, Jeffrey; Steinschneider, Scott; Riha, Susan. (2018). Yield response to climate, management, and genotype: a large-scale observational analysis to identify climate-adaptive crop management practices in high-input maize systems. Environmental Research Letters, 13-11.

Carter, Elizabeth; Steinschneider, Scott. (2018). Hydroclimatological Drivers of Extreme Floods on Lake Ontario. Water Resources Research. 54: 4461-4478.

Carter, Elizabeth; Hain, Christopher; Anderson, Martha; Steinschneider, Scott. (2018). A water balance based, spatiotemporal evaluation of terrestrial evapotranspiration products across the contiguous United States. Journal of Hydrometeorology. 19: 891-905.

Carter, Elizabeth; Melkonian, Jeffrey; Steinschneider, Scott; Riha, Susan. (2018). Spatial gradients in management impact analysis of crop yield response to climate at large spatial scales. Agricultural and Forest Meteorology. 256: 242-252.

Carter, Elizabeth; Melkonian, Jeff; Riha, Susan; Shaw, Stephen. (2016). Separating heat stress from moisture stress: analyzing yield response to high temperature in irrigated maize. Environmental Research Letters. 11-9.

Mary Beth Browning Monroe

Lab/Center Affiliation:

Syracuse Biomaterials Institute

Research interests:

  • Biomaterials
  • Wound Healing
  • Tissue Engineering

Current Research:

The Monroe lab utilizes basic and application-focused research to fabricate and characterize polymeric biomaterials with improved healing outcomes. The long-term research vision is to make fundamental advances in polymer chemistry that enable safer and more effective medical devices. Current research projects include (1) the development of shape memory polymer foam hemostats to control bleeding in gunshot wounds and (2) synthesis and characterization of shape memory polymer hydrogels for chronic wound healing.

Teaching Interests:

  • Polymers
  • Biomaterials
  • Tissue Engineering

Honors:

  • NIH National Research Service Award Post-doctoral Fellowship (2015)
  • NSF Graduate Research Fellowship (2010-13)
  • P.E.O. Scholar Award, Endowed Scholar: Presidential Scholar Award (2012-13)
  • Acta Biomaterialia Student Award (2012)
  • Outstanding Engineering Graduate Student Award, Dwight Look College of Engineering, Texas A&M University (2012)

Selected Publications:

M.B.B. Monroe, A.D. Easley, K. Grant, G.K. Fletcher, C. Boyer, D.J. Maitland, “Multifunctional Shape Memory Polymers with Bioinspired Antimicrobials,” ChemPhysChem (2017)DOI:  10.1002/cphc.201701015.

L.D. Nash, M.B.B. Monroe, Y-H Ding, K.P. Ezell, A.J. Boyle, R. Kadirvel, D.F. Kallmes, D.J. Maitland, “Increased X-ray Visualization of Shape Memory Polymer Foams by Chemical Incorporation of Iodine Motifs,” Polymers, 9 (8) 381 (2017)DOI: 10.3390/polym9080381.

L.D. Nash, N.C. Rivera, M.B.B. Monroe, K.P. Ezell, J.K. Carrow, S.M. Hasan, A.K. Gaharwar, D.J. Maitland, “Cold Plasma Reticulation of Shape Memory Embolic Tissue Scaffolds,” Macromolecular Rapid Communications, 37 (23), 1945-1951 (2016)DOI: 10.1002/marc.201600268.

S.M. Hasan, A.D. Easley, M.B.B. Monroe, D.J. Maitland, “Development of Siloxane-Based Amphiphiles as Cell Stabilizers for Porous Shape Memory Polymer Systems,” Journal of Colloid and Interface Science, 478, 334-343 (2016). DOI: 10.1016/j.jcis.2016.06.031.

M.B. Browning, S.N. Cereceres, P.T. Luong, E.M. Cosgriff-Hernandez, “Determination of the In Vivo Degradation Mechanism of PEGDA Hydrogels,” Journal of Biomedical Materials Research, Part A,102 (12), 4244-4251(2014).DOI: 10.1002/jbm.a.35096.

Katie Cadwell

Professional Preparation:

  • B.S. in Chemical Engineering, Missouri University of Science & Technology (formerly University of Missouri-Rolla)
  • Ph.D. in Chemical Engineering, Thesis Advisor: Nicholas L. Abbott, University of Wisconsin-Madison
  • Post-doctoral Research Associate in STEM Education and Outreach, Interdisciplinary Education Group, Materials Research Science and Engineering Center, University of Wisconsin-Madison
  • Chemistry Instructor, General Chemistry Coordinator, and Engineering Transfer Program Director, Madison Area Technical College

Teaching Interests:

  • Introduction to Engineering & Computer Science
  • Mass & Energy Balances
  • Chemical Engineering Thermodynamics
  • Chemical Engineering Laboratories
  • Technical Communication & Professional Skills
  • Chemical Process Safety

Education & Outreach Interests:

  • Development of engineering faculty attitudes and pedagogy
  • Professional skill development for engineering students
  • K-to-Gray science and engineering outreach
  • Project ENGAGE (Empowering the Next Generation: Advancing Girls in Engineering)

Honors:

  • AIChE Student Chapter Advisor Honor Roll, 2015-2018
  • 2015 Teaching Recognition Award from the Syracuse University Laura J. and L. Douglas Meredith Professorship Program
  • 2015 Syracuse University Chancellor’s Awards for Public Engagement and Scholarship: Inspiration Award
  • 2014 Syracuse University College of Engineering and Computer Science Dean’s Award for Excellence in Engineering Education
  • 2014 Technology Alliance of Central New York (TACNY) College Technology Educator of the Year

Education & Outreach Publications:

Cadwell, K.D., Blum M. M., Hasenwinkel, J.M., Stokes-Cawley, C. “A Gateway Course Redesign Working Group.” Proceedings of the American Society for Engineering Education 2018 Annual Conference and Exposition, Salt Lake City, UT, 2018.

Stokes-Cawley, C. and Cadwell, K.D. “Project ENGAGE: A Summer Immersion Experience in Engineering for Middle School Girls.” Proceedings of the American Society for Engineering Education St. Lawrence Section Regional Conference, Syracuse, NY, 2015. Reprinted in Transactions on Techniques in STEM Education, 2016, 1(2): 20-29.

Blum, M.M, Cadwell, K.D., Hasenwinkel, J.M. “A mechanics of materials outreach activity: Reconstructing the human body – biomaterials and biomimicry.” Proceedings of the American Society for Engineering Education 2015 Annual Conference and Exposition, Seattle, WA, 2015.

Walz, K.A., Britton, S., Crain, J., Cadwell, K., Hoffman, A., Morschauser, P. “Biodiesel synthesis, viscosity, and quality control for an introductory chemistry lab.” The Chemical Educator, 2014, 19: 342-346.

Hoffman, A., Britton, S., Cadwell, K.D., Walz, K.A. “An integrated approach to introducing biofuels, flash point, and vapor pressure concepts into an introductory college chemistry lab.” Journal of Chemical Education, 2011, 88(2): 197-200.

Tomislav Bujanovic

Degree(s):

  • Ph.D. in Electrical and Computer Engineering

Lab/Center Affiliation(s):

Smart Grid Lab

Smart Grid and Power Engineering Lab at Syracuse University has been developed to support teaching and research in contemporary Power Engineering.

  • Power Engineering Lab section has been designed for basic and advanced teaching and research in Power Electronics, Sensors & Measurements, Electromechanical Devices, including control systems, communication, and signal processing aspects. The advanced power electronics boards, supported by the real-time interfaces, are equipped for modern undergraduate and graduate level contemporary experimentation in power electronics and electromechanical devices.
  • Smart Grid Lab section enables continued development of a multidisciplinary research concept that includes advances in communication and control systems, cyber-security, privacy, and economics. This section consists of the setups for electrical transmission and distribution system, solar and wind energy integration, and synchrophasor measurement technology implementation.
  • Smart Home Lab section has been designed for building wired and wireless communication infrastructure and algorithm development for future smart home ideas. The lab is equipped with smart metering infrastructure, providing state-of-the-art environment to our researchers.
  • Distant learning concept implementation in Smart Grid Lab has been developed to enable the on-line lectures and student presentations, as well as the distant lab experiment demonstrations.

Research Interests:

  • Distributed generation integration and control in electric power microgrid
  • Dynamic optimization of microgrid operations and islanding capabilities
  • Microgrid secure communication and cybersecurity infrastructure
  • Singularity detection and classification and signal segmentation
  • Segmentation and motion estimation in time-varying images

Current Research:

  • Methodology for the development of sustainable microgrid infrastructure with distributed generation including difficult‑to‑predict renewable energy sources (survey of existing assets, economic feasibility study, technical feasibility study, microgrid design and pre‑deployment parameter validation, on‑site commissioning, post‑deployment metrics validation)
  • Microgrid stability and protection challenges (synchrophasor technology implementation for real time monitoring and control, protection schemes coordination with distributed generation, merging challenges of monitoring and protection infrastructure)
  • Sustainable microgrid operations by real time load scheduling optimization, using nonlinear and heuristic approaches
  • Microgrid cyber secure, distributed, and resilient communication architecture
  • Smart metering implementation for demand priority optimization and consumer’s cost reduction with energy availability and signal disaggregation constraints
  • Singularity detection and classification and signal segmentation in medical electroencephalography signals for real time epileptic seizure monitoring

Courses Taught:

Power engineering basic and advanced courses in:

  • Power electronics
  • Electromechanical devices
  • Sensors & measurements
  • Electric power systems
  • Distributed generation integration in smart grid
  • Advanced measurements in power engineering
  • Microprocessor based power system protection
  • Control of distributed generation

Signal processing and applied mathematics basic and advanced courses in:

  • Signals & systems
  • Digital signal processing
  • Functional methods and linear analysis
  • Spectral analysis and adaptive filtering
  • Wavelets

Supporting teaching courses in:

  • Introduction to Electrical Engineering
  • Introduction to Smart Grid
  • Smart grid: Security, Privacy, & Economy

Professional activities:

  • American Society for Engineering Education, St Lawrence Section Conference Co‑Chair, Syracuse, April 17‑18, 2015
  • American Society for Engineering Education, St Lawrence Section Chair, 2015

Skills:

  • Six-sigma green belt, SUNY-ESF, Syracuse, NY, 2012
  • Anti-explosion defense of electrical appliances on over-ground places imperiled from explosive blends, Institute for Nuclear Sciences “Vinca”, Belgrade, Serbia, Yugoslavia, 1995
  • Specialist’s examination certificate (the specialist’s examination for engineers dealing with construction projects), Chamber of the Economy of Serbia, Belgrade, Yugoslavia, 1993 (Serbian/Yugoslavian equivalent to Professional Engineer in the USA)

Publications & Presentations:

Arnav Kavadia et al., The Smart Grid: Operational, Privacy, Security & Economic Issues, American Society for Engineering Education, St Lawrence Section Conference, Syracuse, NY, 2015

Tomislav Bujanovic & Prasanta Ghosh, Laboratory Experiments for Enhanced Learning of Electromechanical Devices, American Society for Engineering Education, Zone 1 Conference, Bridgeport, CT, 2014

Tomislav Bujanovic & Ikhlas Abdel-Qader, On Wavelet Transform General Modulus Maxima Metric for Singularity Classification in Mammograms, Open Journal of Medical Imaging, 2013, 3, 17-30

Tomislav Bujanovic et al., Development of Undergraduate Power Engineering Teaching and Learning for future Smart Grid, American Society for Engineering Education, St. Lawrence Section Conference, Buffalo, NY, 2013

Liwen Sun et al., Wavelet Application to Detect Spikes in EEG Signals Due to Epileptic Seizure, IEEE Signal Processing in Medicine and Biology Symposium, New York City, NY, 2012

Ed Bogucz

Degrees:

  • PhD, Mechanical Engineering, Lehigh University, 1985.
  • MSc, Heat Transfer Engineering, Imperial College, University of London, 1980.
  • BS, Mechanical Engineering, Lehigh University, 1978.

Lab/Center Affiliation(s):

  • Executive Director, Syracuse Center of Excellence

Research Interests:

  • Energy efficiency of building technologies
  • Green building design, construction, and operation
  • Indoor environmental quality
  • Revitalization and resilience of urban neighborhood
  • Collaborative research and development
  • Regional economic development

Current Research:

Edward Bogucz leads SyracuseCoE, New York State’s Center of Excellence in Environmental and Energy Systems. Led by Syracuse University, SyracuseCoE is collaborative enterprise that strategically targets research, development, demonstration and deployment projects to accelerate innovations that improve energy efficiency, environmental quality, and resilience in healthy buildings and cleaner, greener communities.

Bogucz is Principal Investigator or co-PI, or has served in these roles, for projects totaling more $60 million to date from sponsors including U.S. Environmental Protection Agency, U.S. Department of Energy, U.S. Economic Development Administration, NASA, National Science Foundation, NYSTAR, New York State Energy Research and Development Authority, Empire State Development, New York Power Authority, Carrier/United Technologies Corp., and National Grid.

Honors:

  • Leadership Award in the Non-Governmental Sector, awarded to SyracuseCoE by the U.S. Green Building Council in 2010.

Selected Publications:

Bogucz, E.A. “Driving innovations for data-driven built environments,” New York Academy of Sciences, May 30, 2012.

Hercules, J., Bogucz, E.A., Loomis, E., Queeley, D., “Show me the money: Advancing economic development goals with LEED-ND,” EcoDistricts Summit, Boston, Nov. 12, 2013.

Bogucz, E.A, Hollander, H., “The historical heritage of technology in Central New York,” John Edson Sweet Lecture, Technology Alliance of Central New York, Onondaga Community College, Dec. 10, 2013.

Bogucz, E.A., “Clean air for China, exported from New York: A case study in accelerating innovations for advanced buildings,” Advanced Energy 2014, Albany, NY, April 2014.

Bogucz, E.A., “Sustainable buildings—from local to global,” Syracuse University-Nanjing University 3rd Forum on Green Buildings and Urban Environments,” Syracuse, NY, Oct. 20, 2015.

Jesse Q. Bond

Degree(s):

  • B.S., Chemical Engineering, Louisiana State University, 2002
  • Ph.D., Chemical Engineering, University of Wisconsin, Madison, 2009

Research Interests:

  • Heterogeneous catalysis
  • Bio-based fuels and chemicals
  • Energy sustainability

Current Research:

Our group is focused on the design and application of catalytic materials for improving sustainability in the production of transportation fuels and chemical products. In our research, we leverage heterogeneous catalysis to facilitate the conversion of renewable feedstocks to drop-in replacements for traditional, petroleum-derived fuels. We approach this task mindful of the guiding principles of environmental stewardship and thus promote total biomass utilization, energy efficiency and conservation, and waste minimization as we strive to advance the state of the art in renewable energy.

Teaching Interests:

  • CEN 600: Heterogeneous catalysis
  • CEN 600: Biofuels
  • CEN 587: Chemical Reaction Engineering

Select Publications:

Wettstein, S.G., Bond, J.Q., Martin Alonso, D., Pham, H.N., Datye, A.K., Dumesic, J.A., “RuSn bimetallic catalysts for selective hydrogenation of levulinic acid to γ-valerolactone.” Applied Catalysis B: Environmental, 2012, 117–118. 321 – 329.

Martin Alonso, D., Wettstein, S.G., Bond. J.Q., Root, T.W., and Dumesic, J.A. “Production of Biofuels from Cellulose and Corn Stover using Alkylphenol Solvents,” ChemSusChem, 2011, 4, 8, 1078–1081.

Bond, J.Q., Wang, D., Martin Alonso, D., and Dumesic, J.A. “Interconversion Between g-valerolactone and Pentenoic Acid Combined with Decarboxylation to Form Butene Over Silica/Alumina.” Journal of Catalysis, 281, 2, 25, 2011, 290-299.

Martin Alonso, D., Bond, J.Q., Wang, D., and Dumesic, J.A., “Activation of Amberlyst-70 for Alkene Oligomerization in Hydrophobic Media.” Topics in Catalysis, 2011, 54, 5-7, 447 -457.

Bond, J.Q., Martin Alonso, D., West, R.M., Dumesic, J.A. “g-Valerolactone Ring-Opening and Decarboxylation over SiO2/Al¬2O3 in the Presence of Water.”Langmuir, 2010, 26, 21, 16291 – 16298.

Martin Alonso, D., Bond, J.Q., Dumesic, J.A. “Conversion of Biomass to Biofuels.”Green Chemistry, 2010, 12, 1493-1513.

Bond, J.Q., Martin Alonso, D., Wang, D., West, R.M., Dumesic, J.A. “Integrated Catalytic Conversion of g-Valerolactone to Liquid Alkenes for Transportation Fuels.” Science, 2010, 327, 5969, 1110-1114.

Michelle M. Blum

Degree:

  • May 2012 Ph.D., Mechanical Engineering, University of Notre Dame, Notre Dame, IN
  • Jan. 2011 M.S., Mechanical Engineering, University of Notre Dame, Notre Dame, IN
  • May 2007 B.S., Mechanical Engineering, Rensselaer Polytechnic Institute, Troy, NY
  • May 2007 B.S., Physics, University of New York at Albany, Albany, NY

Lab/Center Affiliation:

  • Mechanics and Tribology Laboratory

Research Interests:

  • Tribology & Lubrication
  • Mechanical Characterization of Materials
  • Finite Element Analysis

Current Research:

Dr. Blum specializes in high performance materials development and characterization for tribological (friction and wear), structural, and biomedical applications. Her primary research interests are in the development of orthopedic biomaterials, and biomaterial characterization utilizing a combination of experimental techniques, nanoindentation, and computational modeling. Dr. Blum is also interested in characterizing the tribological performance of biological tissues using soft material contact mechanics and simulation. Understanding the structure-property relationships of biological tissues during contacting motion aids her lab in the development of synthetic biomimetic materials.

Teaching Interests:

  • Finite element analysis
  • Tribology & lubrication
  • Solid mechanics

Select Publications:

Synthesis and Characterization of a Zwitterionic Hydrogel Blend with Low Coefficient of Friction Osaheni A.O., Finkelstein, E.B., Mather P.T., Blum M.M. (corresponding author), Acta Biomaterialia, December 2016.

A Mechanics of Materials Outreach Activity: Reconstructing the Human Body: Biomaterials and Biomimicry, Blum M.M. (corresponding author & presenter), Cadwell K., Hasenwinkel J., Paper and Presentation at 2015 ASEE Annual Conference and Exposition, June 2015.

Evaluation of mechanical and tribological properties in comparison with natural cartilage tissue, Blum M.M.(corresponding author) and Ovaert T.C, Materials Science and Engineering C, 2014.

Investigation of friction and surface degradation of innovative boundary lubricant functionalized hydrogel material for use as artificial articular cartilage, Blum M.M., Ovaert T.C., Wear, 2013.

Jackie Anderson

Degrees:

  • Ph.D., Mechanical and Aerospace Engineering, Syracuse University
  • M.S., Mechanical Engineering, Rochester Institute of Technology
  • B.S., Mechanical Engineering, Rochester Institute of Technology

Teaching interests:

  • Engineering Management
  • Thermo/Fluids

Shobha K. Bhatia

Degree(s):

  • Ph.D., Civil Engineering, University of British Columbia, Vancouver, 1980.
  • M.S., Civil Engineering, IIT Roorkee, India, 1973.
  • Bachelor of Civil Engineering, IIT Roorkee, India, 1971.

Research interests:

  • Use of synthetics and natural products in mitigating soil erosion and soil
  • Dewatering and containment of dredged sediments and waste
  • Use of recycle materials in civil infrastructures
  • Women in science and engineering

Current Research:

Dr. Bhatia’s current research efforts focus on the testing, development, design, and innovative use of sustainable natural and polymeric materials for the protection of water quality. In the area of soil erosion, a significant issue that can negatively impact surface water quality, Dr. Bhatia has worked extensively to develop methods to reduce stream bank erosion, evaluate the properties and performance of erosion control products, and develop new, innovative products to minimize soil erosion. Using a multidisciplinary collaborative approach, Dr. Bhatia has worked closely with manufacturers, national and international agencies, and research centers in the development of sustainable solutions for soil erosion issues. Recently, Dr. Bhatia worked on a research project to assess stream restoration methods to reduce stream bank erosion in the Catskill Mountains. Dr. Bhatia has also performed research to evaluate the technical, political, and cultural aspects of the use of natural erosion control materials (coir and jute) in India and the United States. Dr. Bhatia has also established unique testing facilities at Syracuse University to test erosion control products.

Dr. Bhatia has also worked extensively on the development of sustainable materials and methods to dewater dredged sediment, a significant and urgent issue in the US and around the world. Dr. Bhatia is currently investigating the dewatering performance of twenty-five different dredged sediments from water bodies in the US using polymeric and natural flocculants and polymeric and natural fiber geotextiles. Bench-scale, pilot-scale, and large-scale tests will be conducted to evaluate the interaction between sediments, flocculants, and geotextiles. Unique testing facilities have been developed at Syracuse University to characterize the sediments and flocculants. A model will be developed incorporating the sediments, flocculants, geotextiles, and filter-cake characteristics to predict geotextile performance. The systematic study will explore the use of environmentally-friendly flocculants and geotextiles in dewatering and containing dredged sediments and also provide a framework for evaluating the effectiveness of chemically-conditioned sediment dewatering using geotextile tubes. The wealth of data that will be generated will allow for the thorough evaluation of existing test methods, the development of new test standards (in consultation with an industrial advisory board), and the creation of a model to verify results. Dr. Bhatia is also working extensively with industry and international researchers on the development of geotextile tubes for dewatering fly ash.

Dr. Bhatia has also been extensively involved in engineering education. She is co-director of the Women in Science and Engineering (WiSE) initiative at Syracuse University. She is a Co PI of the National Science Foundation funded project SUADVANCE.

Teaching Interests:

  • Design of earth dams and levees
  • Soil behavior and design of earth structures for earthquakes
  • Geosynthetics and their application
  • Sustainability and geotechnical engineering

Honors:

  • Recognized as GeoLegend, Geo Institute, American Society of Civil Engineering, January 2020.
  • Recipient of the Award of Appreciation from the ASTM in 2019 and 2014 for successfully completing more than ten studies and 31 one years of service to D 35 Committee.
  • Appointed to the National Committee on Geological and Geotechnical Engineering of the National Academy of Science-Engineering-Medicine, 2016-2018.
  • Woman in Engineering Proactive Network (WEPAN), 2015 University Agent Award, 2015.
  • Invited and participated in an educational workshop on multi-scale soil-environment problems, to explore key challenges for future geo-engineers at University of Cambridge, England. Funded by the National Science Foundation, September 2014.
  • Appointed member of the Diversity and Inclusion committee, Geo Institute, American Society of Civil Engineering, 2012 – 2015.
  • YWCA Syracuse and Onondaga County, Diversity Achievers Award, Syracuse, New York, 2012.
  • Chancellor’s Citations for Faculty Excellence and Scholarly Distinction, Syracuse University, February 2009
  • Recipient of the Excellence in Graduate Education Faculty Recognition Award, the Graduate School, Syracuse University, March 2008
  • Recipient of the Women of Influence Award – Division of Student Affairs, Office of Residence Life, Syracuse University, April 2007
  • Recipient of the College Technology Educator of the Year award from the Technology Alliance of Central New York for her pronounced and consistent role in the community – beyond “the hill” of Syracuse University, March, 2004
  • Recipient of the International Network for Engineering Education and Research (iNEER) Award for Excellence in Fostering Sustained and Unique Collaborations in International Research and Education, July, 2003
  • Recipient of 2000 Laura J. and L. Douglas Meredith Professor of Teaching Excellence, Syracuse University, 2000-2003

Select Publications:

Bhatia, S. K., Lebster, G., and Khachan, M. (2021). “Dewatering Contaminated Slurries Using Geotextile Tubes,” GEOSTRATA, American Society of Civil Engineering, March/April Issue, 2021.

Fatema, N., and Bhatia, S. K. (2020) “Role of Geotextile Pore Opening on the Dewatering Tests,” Geosynthetics International, September, https://doi.org/10.1680/jgein.20.00029.

Fatema, N., and Bhatia, S. K. (2019). “Comparisons between Geotextile Pore Sizes Obtained from Capillary Flow And Dry Sieving Tests, “Geotechnical Testing Journal , DOI: 10.1520/GTJ20180203.

Gallagher, P., Bhatia, S. K., Alestalo, S., Soundarajan, S., and Athanasopoulos-Zekkos, A. (2019) “Increasing Collaboration among Geotechnical Engineering Faculty: A Case Study from the “Geotechnical Engineering Women Faculty: Networked and Thriving Project,” ASCE, Geotechnical Special Publication, GSP 314 ed., pp. 86-98.

Duggan, K. L., Morris. M., Bhatia, S. K., and Lewis, K. E. (2019).  “Analyzing the Toxicity of Cationic Polyacrylamide and Cationic Starch on Aquatic Life,” Journal of Hazardous, Toxic, and Radioactive Waste, ASCE. Oct; 23(4): 10.1061/ HZ.2153-5515.0000467.

Fatema, N., and Bhatia, S. K. (2018). “Sediment Retention and Clogging of Geotextile with High Water Content Slurries,” International Journal of Geosynthetics and Ground Engineering, 4: 13. https://doi.org/10.1007/s40891-018-0131-0.

Ratnayesuraj C.R, Kiffle, Z.B., Bhatia, S.K., Lebster G. and Timpson, C. (2018).Tests and Analytical Model to Predict Geotextile Tube Performance in the Field: A Case  Study.  International Foundations Congress and Equipment Expo, March 5-10, 2018.

RatnaYesuraj, C.R. and Bhatia. S.K. (2018). Testing and Analytical Modeling of Two-dimensional Geotextile Tube Dewatering Process. Geosynthetics International, Volume 25, No. 2 April, pp.132-149.  https://doi.org/10.1680/jgein.17.00038

Fatema, N., and Bhatia, S. K. (2018). “Sediment Retention and Clogging of Geotextile with High Water Content Slurries,” International Journal of Geosynthetics and Ground Engineering, 4: 13. https://doi.org/10.1007/s40891-018-0131-0.

Khachan, M. M., and Bhatia, S. K. (2017). The Efficacy and Use of Small Centrifuge for Evaluating Geotextile   Tube Dewatering Performance. Geotextiles and Geomembranes45(4), 280-293.

Ben Akih-Kumgeh

Degree(s):

  • Ph.D., McGill University

Lab/Center Affiliation(s) (i.e. CoE or SBI):

  • Center of Excellence

Research Interests:

  • Combustion physics and chemistry (chemical kinetics, ignition, flame propagation, extinction, and pollutant formation, turbulent combustion)
  • Applied combustion in gas turbines, internal combustion engines and process burners
  • Fuel technology (formulation, additives and characterization)
  • Thermodynamic analysis of energy systems

Current Research:

Our research interests are in the area of energy conversion, with a special focus on Combustion Physics and Chemistry. Our work is a combination of experiments, combustion theory, and simulations. We determine combustion properties and pollutant formation trends, contribute to detailed and reduced chemical kinetic model development, and use computational fluid dynamics to study turbulence-chemistry interactions in combustion processes.

The ultimate goal is to develop tools for the analysis and design of advanced combustion devices such as gas turbines, internal combustion engines and industrial furnaces. We are also actively involved unravelling the physics of laser-induced initiation of burning processes; an approach that is promising as an alternative reliable ignition source for fuel-flexible engines. Other areas of research include thermodynamic analysis of energy systems and characterization of fuel blends.

Courses Taught:

  • Thermodynamics
  • Advanced thermodynamics
  • Propulsion
  • Combustion phenomena in engineering
  • Selected topics in combustion turbines and internal combustion engines

Honors/Awards:

  • 2014 FilterTech, Pi Tau Sigma, and Sigma Gamma Tau faculty award for Excellence in Engineering Education
  • NSERC Postdoctoral Fellowship, Canada, 2012-2014, declined in favor of faculty position at Syracuse University
  • MITACS/CRIAQ/NSERC internships for doctoral & postdoctoral scholars, held at Rolls-Royce Canada, 2010-2011
  • FQRNT doctoral fellowship in energy research (Provincial fellowship, Quebec, Canada), 2009-2010
  • Sigma Xi Grant-in-Aid-of research, 2010

Selected Publications:

Propanol isomers: Investigation of ignition and pyrolysis time Scales (authors: S. Jouzdani, A. Zhou, Akih-Kumgeh), Combustion & Flame, 176:229-244 2016, 2017.

An experimental and chemical kinetic modeling study of dimethylcyclohexane oxidation and pyrolysis (authors: M.A. Eldeeb, S. Jouzdani, Z.Wang, M. Sarathy, Akih-Kumgeh), Energy & Fuels, 30:86488657, 2016.

Toward improved understanding of the physical meaning of entropy in classical thermodynamic (author: Akih-Kumgeh), Entropy, 18:270(16 pages), 2016.

Unsteady RANS and Scale Adaptive Simulations of Turbulent Spray Flames in a Swirled-Stabilized Gas Turbine Model Combustor using Tabulated Chemistry (authors: A. Fossi, A. deChamplain, and Akih-Kumgeh), Int. J. Numerical Methods for Heat and Fluid Flow, 25:1064–1088, 2015.

Comparative Analysis of Chemical Kinetic Models Using the Alternate Species Elimination Approach (authors: N.D. Peters, Akih-Kumgeh, J.M. Bergthorson), J. Eng. Gas Turbines & Power, 137:021505-1–021505-9, 2014.

Jeongmin Ahn

Degree(s):

  • Ph.D. in Aerospace Engineering, University of Southern California
  • M.S. in Aerospace Engineering, University of Michigan
  • B.S. in Mechanical Engineering, Rensselaer Polytechnic Institute

Lab/Center Affiliation(s):

  • Combustion and Energy Research Laboratory (COMER)

Research interests:

  • Energy conversion
  • Fuel cells
  • Combustion
  • Thermal management
  • MEMS

Current Research:

  • Solid Oxide Fuel Cells (SOFCs): Fuel cell materials synthesis and fabrication, catalyst development of electrodes, system integration and the fuel cell characterization
  • Membranes for carbon dioxide recovery from combustion processes
  • Co-generation system of electricity and syngas
  • Gas-phase and catalytic combustion in counterflow, heat-recirculating combustors/exchangers
  • Development of meso- and micro-combustors/heat exchangers
  • Catalyst development for ultra low-temperature reaction
  • Thermal transpiration based propulsion, pumping, and power generation
  • Development of an integrated power generation system

Teaching Interests:

  • Fuel cells
  • Heat and mass transfer
  • Fluid mechanics
  • Thermodynamics
  • Combustion
  • HVAC

Honors and Awards:

  • Recipient of Faculty Excellence Award, 2012
  • Grand Prize Winner of the Nunan Lecture and Research Day Poster Competition, 2011
  • Recipient of WSU MME Excellence in Teaching Award, 2008 – 2009
  • Awarded in WSU Faculty Excellence Recognition Program, 2008
  • Selected one of 8 finalists in The 2007 ASME Innovation Showcase (I-Show) Competition, 2007
  • Who’s Who, 2007
  • Member of Pi Tau Sigma, National Honor Mechanical Engineering Society
  • Member of Alpha Pi Mu, National Honor Industrial Engineering Society

Select Publications:

Thomas S. Welles, and Jeongmin Ahn, “Investigation of the Effects of Electrochemical Reactions on Complex Metal Tribocorrosion within the Human Body”, Heliyon, Vol. 7, pp. e07023 (2021).

Ryan J. Milcarek, Michael J. Garrett, Thomas S. Welles, Rhushikesh Ghotkar, and Jeongmin Ahn, “Investigation of Rapid, Moderate Temperature Change Thermal Cycles of a Micro-Tubular Flame-assisted Fuel Cell”, Journal of Electrochemical Energy Conversion and Storage, Vol. 18, 041002-1 (2021).

Thomas S. Welles, and Jeongmin Ahn, “Novel Investigation of Perovskite Membrane Based Electrochemical Nitric Oxide Control Phenomenon”, Nature-Scientific Reports, Vol. 10, Issue 1, pp. 18750 (2020).

Ryan J. Milcarek, Rhushikesh Ghotkar, and Jeongmin Ahn, “Investigation of Temperature Limitations During Rapid Thermal Cycling of a Micro-Tubular Flame-Assisted Fuel Cell”, Energy Sustainability, pp. V001T05A001 (2020).

Brent B. Skabelund, Hisashi Nakamura, Takuya Tezuka, Kaoru Maruta, Jeongmin Ahn, and Ryan J. Milcarek, “Impact of Low Concentration Hydrocarbons in Natural Gas on Thermal Partial Oxidation in a Micro-flow Reactor for Solid Oxide Fuel Cell Applications”, Journal of Power Sources, Vol. 477, pp. 229007 (2020).

Wenliang (Kevin) Du

Degree(s):

  • Ph.D. 2001, from Purdue University

Research Interests:

  • Computer and network security
  • Smartphone and mobile system security
  • Security education

Current Research:

Recent work has involved the studies of the Android operating systems with the following goals: (1) identify security problems in the design of the Android operating system, (2) identify security problems in mobile apps and develop tools to detect them, (3) develop improved access control for mobile systems.

Other current work includes the development of effective hands-on lab exercises for security education. We started the work in 2002, and we have developed about 30 labs for both undergraduate and graduate students. As of September 2015, over 350 universities and colleges worldwide are using them.

Courses Taught:

  • Computer security
  • Internet security
  • Android security
  • Android Programming

Honors:

  • 2014 Dean’s Award for Excellence in Engineering Education, May 2014.
  • 2013 Faculty Excellence Award from College of Engineering and Computer Science.
  • 2013 ACM CCS Test-of-Time Award.
  • Best Paper Award in the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 22-25, 2007, Nanjing, China.
  • Best Paper Award in The 19th IEEE International Parallel & Distributed Processing Symposium (IPDPS), April 4-8, 2005, Denver, Colorado.
  • Guo Mo-ruo Award (1992), University of Science & Technology of China.

Selected Publications:

Click here to see full list of publications.

Yousra Aafer, Nan Zhang, Zhongwen Zhang, Xiao Zhang, Kai Chen, XiaoFeng Wang, Xiaoyong Zhou, Wenliang Du, and Michael Grace. Hare Hunting in the Wild Android: A Study on the Threat of Hanging Attribute References. To appear in the 22nd ACM Conference on Computer and Communications Security (CCS), Denver, Colorado, USA. October 12-16, 2015.

Xing Jin, Xunchao Hu, Kailiang Ying, Wenliang Du, Heng Yin and Gautam Nagesh Peri. Code Injection Attacks on HTML5-based Mobile Apps: Characterization, Detection and Mitigation. In Proceedings of the 21st ACM Conference on Computer and Communications Security (CCS), Scottsdale, Arizona, USA. November 3 – 7, 2014.

Paul Ratazzi, Ashok Bommisetti, Nian Ji, and Wenliang Du. PINPOINT: Efficient and Effective Resource Isolation for Mobile Security and Privacy. In Proceedings of the Mobile Security Technologies (MoST) workshop, May 21, 2015.

Tongbo Luo, Hao Hao, Wenliang Du, Yifei Wang, and Heng Yin. Attacks on WebView in the Android System. In Proceedings of the 27th Annual Computer Security Applications Conference (ACSAC), Orlando, Florida, USA. December 5-9, 2011.

Karthick Jayaraman, Wenliang Du, Balamurugan Rajagopalan, and Steve J. Chapin. Escudo: A Fine-grained Protection Model for Web Browsers. In ICDCS: The 30th International Conference on Distributed Computing Systems, Genoa, Italy, June 21-25, 2010

Wenliang Du. The SEED Project: Providing Hands-on Lab Exercises for Computer Security Education. In IEEE Security and Privacy Magazine, September/October, 2

Julie M. Hasenwinkel

Degree(s):

  • PhD, Biomedical Engineering, Northwestern University
  • MS, Bioengineering, Clemson University
  • BSE, Biomedical Engineering, Duke University

Lab/Center Affiliation(s):

  • Syracuse Biomaterials Institute

Research Interests:

  • Biomaterials for nerve regeneration
  • Microindentation and Raman spectroscopy of injured tissue and hydrogels
  • Micropatterned and molecularly oriented polymers and hydrogels
  • Two-solution bone cements
  • Injectable materials for traumatic injury
  • Best practices in Engineering Education

Current Research:

The Hasenwinkel lab is focused on translational polymeric biomaterials for applications in orthopedics and nerve regeneration. We study numerous aspects of spinal cord injury; including characterization of the glial scar using micromechanical and spectroscopic techniques, the response of neuronal cells to topographical and mechanical cues, and the development of mechanically active polymer networks to promote nerve regeneration. We are also active in the area of orthopedic biomaterials, specifically in the development of new bone cements for fixation of total joint replacements and treatment of vertebral compression fractures. We study how compositional changes in these cements affect a variety of clinically relevant cement properties and performance.

Teaching Interests:

  • Biomaterial and medical devices
  • Polymer physics

Honors:

  • Wallace H. Coulter Foundation Early Career Translational Research Award, Phases I & II 2007-11
  • Judith Greenberg Seinfeld Distinguished Faculty Fellow, Syracuse University 2006-07
  • Teaching Recognition Award, Syracuse University 2004
  • James D. Watson Investigator Award, New York State Office of Science, Technology, and Academic Research (NYSTAR) 2003

Select Publications:

D.C. Rodrigues, J.L. Gilbert, and J.M. Hasenwinkel, “Two-solution bone cement containing PMMA brushes: properties and effects of brush addition on the physical and mechanical performance of the cement,” accepted for publication in the Journal of Biomedical Materials Research, Part A, Jan 2012.

T. Saxena, J.L. Gilbert, D.J. Stelzner, and J.M. Hasenwinkel, “Mechanical characterization of the injured spinal cord after lateral spinal hemisection injury in the rat,” J Neurotrauma, 29(9):1747-57, 2012.

A.Y. Au, J.M. Hasenwinkel, and C.G. Frondoza, “Hepatoprotective effects of S-Adenosylmethionine and Silybin on canine hepatocytes in vitro,” J Anim Physiol Anim Nutr, Feb 9 2012, Epub ahead of print.

A.Y. Au, J.M. Hasenwinkel, and C.G. Frondoza, “Micropatterened agarose scaffolds covalently modified with collagen for culture of normal and neoplastic hepatocytes,” Journal of Biomedical Materials Research, Part A, 100(2):342-52, 2012

D.C. Rodrigues, R.A. Bader, J.M. Hasenwinkel, “ Grafting of nanospherical PMMA brushes on cross-linked PMMA nanospheres for addition in two-solution bone cements.” Polymer, 52(12):2505-13, 2011.