Summary
Li Binbin is an associate professor specializing in statistical methods for structural health monitoring and infrastructure resilience, with a Ph.D. from UC Berkeley and nine years of applied research experience across the UK and China. His work blends Bayesian system identification, operational modal analysis, and network-level modeling to make bridges, buildings and transport networks smarter at sensing and responding to hazards like earthquakes and windstorms. At ZJUI he leads projects that translate field testing and probabilistic inference into practical resilience assessment tools for real-world infrastructure. Trained under leading experts and with a background in optimal sensor placement, he uniquely bridges theoretical uncertainty quantification and hands-on experimental validation to deliver actionable intelligence for civil infrastructure.
9 years of coding experience
9 years of employment as a software developer
Ph. D, Structural Engineering, Ph. D, Structural Engineering at UC Berkeley
B. S., Civil Engineering, B. S., Civil Engineering at Dalian University of Technology
English, Chinese