Satish Nagarajaiah is a Professor of Civil & Environmental Engineering and of Mechanical Engineering and is affiliated with the Materials Science and Nano-Engineering Departments at Rice University, Houston, Texas. His teaching/research resides at the intersection of computational structural dynamics, seismic isolation, adaptive structures/systems & sensing, and sparse structural system identification with Machine Learning (ML)—with a current focus on the development of physics-informed methods with ML/artificial intelligence. He has been a tenured full professor @ Rice since 2006. He obtained his Ph.D. from the University at Buffalo, State University of New York, Buffalo, where he was a postdoctoral researcher before beginning his academic career in 1993.
His group’s current research focuses on developing novel methods and algorithms with validation to address critical challenges in forward and inverse modeling via sparse structural system identification/digital twins of urban infrastructure. These methods focus on discovering both data-driven and physics-informed models and address linear and nonlinear systems using sparse regularization (L1 and LS with thresholding), data fusion, and sparsity-promoting Kalman and Bayesian filtering. A key highlight is the integration of Machine Learning (ML) and Artificial Intelligence (AI) to bridge the gap between data discovery and physical laws, enabling the extraction of governing ODE/PDE equations directly from input-output maps. The efficacy of these methods is validated through experimental data across linear, time-varying, and nonlinear hysteretic systems.
The practical utility of these forward/inverse modeling methods/algorithms has been demonstrated through analysis and design of numerous base-isolated structures in California and Utah, USA, Ankara, Turkey, Athens, Greece, and other countries—as well as through the actual performance assessment of large base-isolated structures during major recorded seismic/earthquake events in Los Angeles and San Francisco, CA.
He has published over 400 papers and two books while mentoring a generation of doctoral students (35 to date) who now hold prominent faculty positions (16 to date) worldwide.
Professor Nagarajaiah’s leadership in the field includes serving as Managing Editor of the American Society of Civil Engineers (ASCE), Journal of Structural Engineering, and holding current senior editor roles for Structural Control and Health Monitoring (SCHM, Wiley, IASCM) and Mechanical Systems and Signal Processing (MSSP, Elsevier). His seminal contributions have earned him the NSF early CAREER Award, the ASCE Moisseiff Award, the ASCE Raymond Reese Research Prize, and the IASCM-SCHM Takuji Kobori Prize. Most notably, he was honored with the 2020 ASCE Nathan M. Newmark Medal by the ASCE Structural Engineering Institute (SEI) & Engineering Mechanics Institute (EMI) for seminal contributions to science and structures/engineering/mechanics, and the 2025 George W. Housner Medal for contributions to Structural Control and Monitoring by EMI. A Fellow of the U.S. National Academy of Inventors and a Distinguished Member of ASCE, his work continues to bridge the gap between methodological and algorithmic innovations, practical inventions, and applications, aiming to create more resilient urban infrastructure.
He has served on the ASCE SEI Board of Governors (2015-2019) and concurrently on ASCE, SEI, Technical Activities Division Executive Committee (TAD ExCom; 2006-2012 and 2012-2019). He served as the chair/vice-chair/secretary/member (2006-2012) of ASCE SEI TAD ExCom. He served on the board of directors of the International Association of Structural Control & Monitoring (2008-2012). He served as the President of the U.S. panel on structural control & monitoring (2006-2008). He served as the founding chair of ASCE-Engineering Mechanics Institute (EMI) structural health monitoring committee (2004-2006) and as chair of the ASCE SEI structural control and sensing committee (1998-2002).
In summary, Professor Satish Nagarajaiah is internationally recognized for teaching, research, and contributions to structural dynamic systems, vibration/seismic isolation, adaptive structures, adaptive sensing, monitoring, and sparse system identification with ML/AI. He has presented distinguished, plenary, and keynote lectures worldwide and has taught summer courses in his field for the past two decades. More importantly, he has nurtured and mentored numerous undergraduate and graduate students, postdoctoral researchers, and collaborators worldwide, ensuring their success. Satish Nagarajaiah has been quoted in the New York Times, Wall Street Journal, Associated Press, Reuters, and many others, and has been interviewed live by the BBC, CNN, MSNBC (Rachel Maddow), ABC (Diane Sawyer), NBC, NPR, Al Jazeera English Channel, and CCTV, among others.
Visit his Twitter site: @SatishNagarajah for recent news, activities, and media interactions. Visit his website at https://satishnagarajaiah.rice.edu for more details.