Education:

• Ph.D., Civil and Environmental Engineering, Stanford University, Stanford, CA 2002
• M.S., Electrical Engineering, Stanford University, Stanford, CA 2003
• M.S., Civil and Environmental Engineering, Stanford University, Stanford, CA 1998
• B.E., Civil Engineering, Cooper Union, New York City, NY, 1993

Research Interests: ^top

Members of the team at the Laboratory for Intelligent Systems and Technologies (LIST) work at the boundary between traditional civil engineering and related engineering disciplines (such as electrical engineering, computing science, data science, material science and sociology) to convert traditional infrastructure into more intelligent and reactive systems through the integration of sensing, computing, and actuation technologies. The conversion of society’s infrastructure systems into more reactive and adaptive systems through cyber-physical system (CPS) architectures greatly enhance their performance while rendering them more resilient against external stressors including natural and man-made hazards. Infrastructure systems whose health is closely monitored also have lower life-cycle costs and significantly longer services lives over which their initial carbon footprint is amortized. More recently, the lab has extended its work to include the monitoring of how people use infrastructure and derive benefits. This allows CPS architectures to monitoring and even control social uses of infrastructure to further enhance community resilience. The research themes in the LIST portfolio range from the development of new sensors for monitoring infrastructure to advancing machine learning algorithms to gain new insights to infrastructure performance using data. Integral to the LIST identity is direct collaboration with community stakeholders for full-scale field deployments of solutions to assess and quantify their impact. This hands-on approach to working with stakeholders in the field ensures the research remains well grounded in the societal problems being tackled. LIST also works closely with the University of Michigan Urban Collaboratory to work closely with communities solving stakeholder challenges through the use of intelligent infrastructure technologies.

Our research has been sponsored by the National Science Foundation, Office of Naval Research, National Institute of Standards and Technology, Great Lakes Water Authority, and Michigan Department of Transportation, just to name a few.

Videos:
Grassroots data collection to empower Detroit youth
Sensors for monitoring condition of 100-year-old Detroit water pipe
Improving bridge safety

Other: ^top

• Member, Department Heads Coordinating Council (DHCC), American Society of Civil Engineers (ASCE)
• Member, International Advisory Group, Center for Smart Infrastructure and Construction, Cambridge University
• Member, Executive Board, International Association on Structural Control and Monitoring (IASCM), Los Angeles, CA
• Member, Advisory Committee, Presidential Postdoc Fellowship Program, University of Michigan
• Member, Detroit Advisory Group, University of Michigan
• Member, Objective Resiliency Committee. American Society of Civil Engineers (ASCE)
• Member, Structural Health Monitoring and Controls Committee, American Society of Civil Engineers (ASCE)
• Associate Editor, Earthquake Engineering and Structural Dynamics, Wiley
• Associate Editor, Smart Infrastructure and Construction, Institution of Civil Engineers
• Associate Editor, Journal of Structural Control and Health Monitoring, Wiley
• Associate Editor, Sustainable Materials and Structural Systems, Inderscience
• Associate Editor, Structure and Infrastructure Engineering, Taylor & Francis Group
• Associate Editor, Journal of Engineering Mechanics, ASCE
• Associate Editor, Journal of Computing in Civil Engineering, ASCE
• Associate Editor, Earthquakes and Structures, TechnoPress

Awards: ^top

• Faculty Award, Civil and Environmental Friends Association (CEEFA), Univ. of Michigan (2016)
• George J. Huebner, Jr. Research Excellence Award, College of Eng., Univ. of Michigan (2015)
• Walter L. Huber Civil Engineering Research Prize, American Society of Civil Engineers (2014)
• John F. Ullrich Education Excellence Award, College of Engineering, Univ. of Michigan (2013)
• EMI Leonardo da Vinci Award, American Society of Civil Engineers (2012)
• Anne Voshel and Gerald Nudo CEE Faculty Scholar Award, University of Michigan (2010-2013)
• Region 3 Outstanding Faculty Advisor Award, ASCE (2011)
• Professor of the Year Award – ASCE Student Chapter, University of Michigan (2010)
• Faculty Achievement Award, Rackham School of Graduate Studies, Univ. of Michigan (2010)
• Presidential Early Career Award for Scientists and Engineers (PECASE), White House Office of Science and Technology Policy (2009)
• Brilliant 10 Award, Popular Science Magazine (2009)
• Structural Health Monitoring Person of the Year Award, International Workshop of Structural Health Monitoring, Stanford, CA (2009)
• Professor of the Year Award – ASCE Student Chapter, University of Michigan (2009)
• National Science Foundation CAREER Award (2009)
• Department Award, Civil & Environmental Engineering, University of Michigan (2009)
• Shah Family Innovation Prize, Earthquake Engineering Research Institute (EERI) (2009)
• 1938E Award, College of Engineering, University of Michigan (2008)
• Henry Russel Award, Rackham School of Graduate Studies, University of Michigan (2007)
• Office of Naval Research Young Investigator Award (2005)
• Professor of the Year Award – ASCE Student Chapter, University of Michigan (2005)
• Japan Society for The Promotion of Science Short-Stay Fellowship (2003)

Publications: ^top

1. Flanigan, K., Lynch, J. P., and Ettouney, M. (2020). “Probabilistic Fatigue Assessment of Monitored Railroad Bridge Components Using Long-Term Response Data in a Reliability Framework,” Structural Health Monitoring, Sage, 19(6): 2122-2142.
2. Wang, W., and Lynch, J. P. (2020). “Quantitative Assessment of Compress-Type Osseointegrated Prosthetic Implants in Human Bone using Electromechanical Impedance Spectroscopic Methods,” Biomedical Engineering Letters, Springer, 10(2): 129-147.
3. Hou, R., Jeong, S., Lynch, J. P., and Law, K. H. (2020). “Cyber-Physical System Architecture for Automating the Mapping of Truck Loads to Bridge Behavior using Computer Vision in Connected Highway Corridors,” Transportation Research Part C, Elsevier, 111(2): 547-571.
4. Hou, R., Lynch, J. P., Ettouney, M. and Jansson, P. O. (2020). “Partial Composite Action and Durability Assessment of Slab-on-Girder Highway Bridge Decks in Negative Bending using Long-term Structural Monitoring Data,” Journal of Engineering Mechanics, ASCE, 146(4): 04020010.
5. Jeong, S., Ferguson, M., Hou, R., Lynch, J. P., Sohn, H., and Law, K. H. (2019). “Sensor Data Reconstruction using Bidirectional Recurrent Neural Network with Application to Bridge Monitoring,” Advanced Engineering Informatics, Elsevier, 42(2019): 1009912.
6. Wang, Q., Lo, C., Liu, M., Lynch, J. P., and Zhang, X. (2019). “Adaptive Bayesian group testing: Algorithms and performance,” Signal Processing, Elsevier, 156(3): 191-207.
7. Kane, M., Lynch, J. P., and Scruggs, J. (2019). “Run-time Efficiency of Bilinear Model Predictive Control using Variational Methods, with Applications to Hydronic Cooling,” IEEE/ASME Transactions on Mechatronics, IEEE, 24(2): 718-728.
8. Greenwood, W., Lynch, J. P., and Zekkos, D. (2019). “A Summary Review of UAVs in Civil Infrastructure Applications,” Journal of Infrastructure Systems, ASCE, 25(2): 04019002.
9. Jeong, S., Hou, R., Lynch, J. P., Sohn, H., and Law, K. H. (2019). “A Scalable Cloud-based Cyberinfrastructure Platform for Bridge Monitoring,” Structure and Infrastructure Engineering, Taylor&Francis, 15(1): 82-102.
10. Zekkos, D., Greenwood, W., Lynch, J.P., Manousakis, J., Athanasopoulos-Zekkos, A., Clark, M., Cook, K.L. and Saroglou, C. (2018). “Lessons Learned from the Application of UAV-Enabled Structure-from-Motion Photogrammetry in Geotechnical Engineering,” International Journal of Geoengineering Case Histories, International Society for Soil Mechanics and Geotechnical Engineering, 4(4):254-274.
11. Wang, W. and Lynch, J. P., (2018). “IWSHM 2017: Application of Guided Wave Methods to Quantitatively Assess Healing in Osseointegrated Prostheses,” Journal of Structural Health Monitoring, Sage, 17(6): 1377-1392.
12. Kane, M., Lynch, J. P., and Scruggs, J. (2018). “Development of a Scalable Distributed Model Predictive Control System for Hydronic Networks with Bilinear and Hybrid Dynamics,” Journal of Computing in Civil Engineering, ASCE, 32(5): 04018038.
13. Wang, W., Zhang, E., Lynch, J. P., Cesnik, C. E. S., and Li, H. (2018). “Experimental and Numerical Validation of Guided Wave Phased Arrays Integrated within Standard Data Acquisition Systems for Structural Health Monitoring,” Journal of Structural Control and Health Monitoring, Wiley, 25(6):2171.
14. Johnson, N., Lynch, J. P., and Collette, M. (2018). “Response and Long-Term Fatigue Assessment of High Speed Aluminium Hulls using Short-Term Wireless Hull Monitoring,” Structure and Infrastructure Engineering, Taylor & Francis, 14(5): 634-651.
15. Burton, A. R., Lynch, J. P., Kurata, M., and Law, K. H. (2017). “Fully Integrated Carbon Nanotube Composite Thin Film Strain Sensors on Flexible Substrates for Structural Health Monitoring,” Smart Materials and Structures, IoP, 26(9): 095052.