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Yong Li is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Alberta, specializing in Structural Engineering. His research interests encompass the development and application of mechanics- and data-based models, probabilistic machine learning methods relevant to engineering risk and reliability problems within the field of structural engineering. Dr. Li's work involves facilitating decision-making processes based on probability-based design, retrofit, health monitoring, and maintenance of various structures such as bridges, buildings, pipelines, and wind turbines. His contributions to the field are documented in numerous refereed journal publications that cover topics in structural dynamics, earthquake engineering, stochastic modeling, computational mechanics, and finite element methods. Li's expertise extends to risk analysis and probabilistic structural health monitoring, as well as nonlinear system identification and machine learning techniques for enhanced decision-making. He holds a Ph.D. in Structural Engineering from the University of California, San Diego, and has previously worked as a Postdoctoral Researcher at the same institution, alongside roles as a Graduate Researcher. Li is also an active member of the SM&RA research group.
University of Alberta • Edmonton, Canada
Teaching and research in the field of Structural Engineering.
University of Alberta • Edmonton, Canada
Educating students and conducting research in structural engineering.
University of California, San Diego • San Diego, USA
Conducted research in structural engineering and related fields.
University of California, San Diego • San Diego, USA
Engaged in research activities supporting doctoral studies.
Department: Mechanical Engineering and Engineering Management