Yong Li

Biography

Ph.D. (2014), Structural Engineering, University of California, San Diego, USA M.A. (2013), Applied Mathematics, University of California, San Diego, USA M.S. (2009), Civil Engineering, Tsinghua University, Beijing, China B.S. (2006), Civil Engineering, Beihang University of , Beijing, China Professional Experience: 2017.01 - present, Assistant Profesor, University of Alberta, Edmonton, Canada 2015.01 - 2016.12, Postdoctoral Researcher, University of California, San Diego, USA.

Research Interest

Dr Li is mainly fascinated in developing and applying (1) probabilistic and statistical methods to engineering risk/reliability problems, and (2) optimization methods to inverse engineering problems in the field of structural engineering. Engineering risk assessment consists of uncertainty quantification and propagation through physics-based (e.g., nonlinear finite element) and/or data-based modeling. This serves to assist decision-making in the process of probability-based design, retrofit, and maintenance in the face of uncertainty. He is also extensively involved with inverse engineering problems (e.g., structural design optimization, nonlinear FE model updating using field-recorded and experimental data). Specifically, his research interests includes: Mechanics-based ​​nonlinear​ ​FE simulation Stochastic modeling of natural hazard​​ loads Probabilistic mechanics and dynamics Risk​ ​and reliability​ ​analysis Soil-structure interaction Performance-based engineering​ and innovative engineering solutions​ Nonlinear system identification and model updating Statistical learning for health monitoring High throughput computing.