Agam is a PhD Candidate with broad interests in advanced data analytics, modeling the behavior of complex systems and stochastic optimization. His current research is focused on seismic risk and resilience quantification for water distribution systems. He is also pursuing an MS degree in Electrical Engineering.
Zhengxiang is a Ph.D. candidate whose current research is focused on developing performance-based analytics-driven retrofit methodologies for woodframe structures. His other academic interests include data mining, machine learning and stochastic optimization. He is also pursuing an MS degree in Statistics.
As a Ph.D. candidate in the Department of Civil and Environmental Engineering at UCLA, Honglan's research is focused on applying advanced statistical models and machine learning methods to improve the performance of built systems subjected to earthquake hazards. He is also pursuing an MS degree in Statistics.
Mehrdad is a post-doctoral scholar at UCLA. He received his PhD from UCLA in structural and earthquake engineering with honors as well as a Master's in statistics. His background lies in performance-based earthquake engineering, hazard recognition and mitigation through probabilistic models, developing advanced nonlinear numerical structural models and characterizing earthquake ground motions features and their impact on the seismic response of structures.