PEOPLE

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AGAM TOMAR

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. 

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ZHENGXIANG YI 

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. 

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SHARZAD DASTMALCHI

Shahrzad is a PhD Candidate in the Department of Civil and Environmental Engineering at UCLA. Her current research is focused on developing performance-based design and assessment methods for controlled rocking steel braced frames.

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XINGQUAN GUAN

Xingquan is a Ph.D. candidate in the Department of Civil and Environmental Engineering at UCLA. His research is focused on developing performance-based analytics-driven seismic design methodologies for steel moment resisting frames. He is also pursuing an MS degree in Statistics. 

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MOROLAKE OMOYA

Morolake is a PhD student in the Department of Civil and Environmental Engineering at UCLA. Her research is focused on the application of Bayesian Inferencing to post-earthquake recovery modeling of built infrastructure systems.

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HONGLAN HUANG

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. 

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LAXMAN DAHAL

Laxman is an MS/PhD student with interests in performance-based earthquake engineering and advanced analytics.

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EUSEF ABDELMALEK-LEE

Eusef is an MS/PhD student in the Department of Civil and Environmental Engineering at UCLA. His research interests include numerical modeling, nonlinear structural analysis and performance-based earthquake engineering 

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MONIRA ALADSANI

Monira is PhD student in the Department of Civil and Environmental Engineering at UCLA. Her research is focused on the application of machine learning techniques to better understand and predict the structural behavior (local and global) of seismic systems.

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MEHRDAD SHOKRABADI

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.