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Welcome to the S2RI Lab!
Our group is based at The University of Texas Rio Grande Valley. We are dedicated to advancing the safety, efficiency, and sustainability of modern infrastructure and transportation systems through smart sensing technologies, artificial intelligence (AI), and digital twins. Our research integrates cutting-edge structural health monitoring (SHM), nondestructive testing and evaluation (NDT&E), transportation analytics, and predictive modeling to develop innovative solutions for assessing, monitoring, and enhancing civil and transportation infrastructure performance.
We maintain close collaborations with U.S. Department of Energy National Laboratories, leading industry partners, academic institutions, and government agencies. Through these partnerships, we aim to translate fundamental research into practical, transformative technologies that redefine how critical infrastructure systems are monitored, maintained, and sustained.
News:
Sept, 2026. Minzhe's paper, “Physics-Aligned Interpretable Prediction of Real-World Heavy-Duty Truck Energy Use,” has been accepted for presentation at the TRB 2027 Annual Meeting.
Sept, 2026. Dr. Ai was named the committee member of EMI Experimental Analysis & Instrumentation Committee
Aug, 2026. Zhe Wang joined our lab as a PhD student, welcome on board!
July, 2026. Dr. Ai was appointed as an associate editor for the Journal of Civil Structural Health Monitoring
May, 2026. Dr. Ai received the Springer Nature 2026 Editor of Distinction award.
Mar, 2026. Dr. Ai was named the committee member of EMI Structural Health Monitoring & Control Committee
Jan, 2026. Minzhe Wu joined our lab as a PhD student, welcome on board!
Jan, 2026. Dr. Ai was appointed as an editorial board member for the Measurement Science and Technology
Aug, 2025. Our group has moved to the University of Texas Rio Grande Valley
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