Dr. Zixin Wang is a Postdoctoral Research Associate in the Department of Civil and Environmental Engineering at the University of Illinois Urbana–Champaign. His research interests include nondestructive evaluation, physics-informed machine learning, structural health monitoring, and structural vibration control. His postdoctoral research focuses on radar-based nondestructive evaluation, leveraging physics-guided sim-to-real transfer, Fourier neural operators, and time-series transformers to enhance material property estimation and corrosion assessment. Dr. Wang received his Ph.D. from Purdue University, where he developed AI-driven structural health monitoring methodologies for complex structural and sensing systems, with an emphasis on improving the resilience of extraterrestrial habitats through physics-informed machine learning. He also earned his master’s degree from Tongji University, where his research advanced structural vibration control techniques to improve the resilience of civil infrastructure under seismic and wind hazards. Dr. Wang was awarded the Lyles Teaching Fellowship at Purdue University. His work has been recognized as a finalist in student paper competitions at the Engineering Mechanics Institute (EMI) and the International Conference on Structural Safety and Reliability (ICOSSAR). He is an active member of the EMI Structural Health Monitoring & Control Committee and serves as a reviewer for more than ten leading journals in structural health monitoring.