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Bing Li completed his PhD at the Massachusetts Institute of Technology in 2019, where he focused on rock mechanics. He holds a B.A.Sc. in Mineral Engineering from the University of Toronto (2013) and a Master’s degree in Civil Environmental Engineering from MIT (2015). Prior to joining Western University as an Assistant Professor, he was a postdoctoral scholar at the California Institute of Technology. His research primarily revolves around the development and application of machine learning techniques to construct physical models for detecting, analyzing, and predicting induced earthquakes in the context of mining, oil and gas, and carbon sequestration. Dr. Li’s research interests include rockfall hazard analysis, photogrammetry using ground and drone-based imaging, micro-earthquake monitoring, and fracture imaging of rocks relevant to mining and civil engineering applications. He aims to develop data-driven approaches to understand and accurately predict failure modes in rock mechanics problems, including permafrost degradation, rock bursts, and slope stability issues related to fluid-induced fault slip. His teaching interests focus on rock mechanics, engineering geology, and data science for geotechnical engineers.
Western University • London, Ontario, Canada
Conducting research and teaching courses in Civil and Environmental Engineering, focusing on rock mechanics and related fields.
Streams include Archaeology and Bioarchaeology, and Sociocultural Anthropology.