Jerome Peter Lynch
Professor in the Department of Civil and Environmental Engineering
structural health monitoring; cyber-physical system architectures; infrastructure resilience; multifunctional nanocomposites; non-destructive evaluation; community engagement; academic leadership
Appointments and Affiliations
- Professor in the Department of Civil and Environmental Engineering
- Vinik Dean of Engineering
- Professor in the Department of Electrical & Computer Engineering
- Email Address: email@example.com
- M.S.E.E. Stanford University, 2003
- Ph.D. Stanford University, 2002
- M.S.C.E. Stanford University, 1998
- B.S. The Cooper Union, 1997
Prof. Lynch's research interests are in advancing cyber-physical system architectures that combine sensing, computing, and control to create intelligent civil infrastructure systems. He is best known for his research portfolio in structural health monitoring (SHM) that allow the performance and health of civil infrastructure systems to be assessed based on monitoring data to improve system safety and resilience.
In the News
- New Engineering Dean Has Large Plans for the Pratt School (Apr 26, 2022 | Pratt School of Engineering)
- Draughon, G; Lynch, J; Salvino, L, Integrated Vision-Body Sensing System for Tracking People in Intelligent Environments (2023), pp. 885-893 [10.1007/978-3-031-07254-3_89] [abs].
- Zhou, H; Lynch, J; Zekkos, D, Autonomous wireless sensor deployment with unmanned aerial vehicles for structural health monitoring applications, Structural Control and Health Monitoring, vol 29 no. 6 (2022) [10.1002/stc.2942] [abs].
- Flanigan, KA; Aguero, M; Nasimi, R; Moreu, F; Lynch, JP; Ettouney, M, Objective Resilience Monitoring for Railroad Systems (2022), pp. 75-120 [10.1061/9780784415900.ch4] [abs].
- Flanigan, KA; Lynch, JP, Optimal Event-Based Policy for Remote Parameter Estimation in Wireless Sensing Architectures Under Resource Constraints, Ieee Transactions on Wireless Communications (2022) [10.1109/TWC.2021.3139289] [abs].
- Burton, AR; Sun, P; Lynch, JP, Bio-compatible wireless inductive thin-film strain sensor for monitoring the growth and strain response of bone in osseointegrated prostheses, Structural Health Monitoring: an International Journal, vol 20 no. 3 (2021), pp. 749-767 [10.1177/1475921719831452] [abs].