Ziqi Wang

Assistant Professor
Research Interests
Structural engineering, Structural reliability, Earthquake engineering, Uncertainty quantification
Office

731 Davis Hall

Office Hours

Tuesdays: 1:00 pm to 3:00 pm

Thursdays: 1:00 pm to 2:30 pm, 3:30 pm - 4:30 pm

Wang photo

Ziqi Wang is an assistant professor in the Department of Civil and Environmental Engineering. His research focuses on analyzing and understanding the reliability, risk, and resilience of structures and critical infrastructures under hazards. He is interested in computational methods of structural reliability and uncertainty quantification, focusing on interpretable probabilistic analysis methods leveraging domain/problem-specific knowledge. He also develops probabilistic methods to analyze the regional impact of hazards by adapting theories/models from reliability, uncertainty quantification, and statistical physics.

Education

Ph.D., Civil Engineering - Southwest Jiaotong University, China, 2015

B.S., Civil Engineering - Southwest Jiaotong University, China, 2010

Wang's research focuses on analyzing and understanding the reliability, risk, and resilience of structures and critical infrastructures under hazards. He is also interested in applying probabilistic methods to a broader field of science. Here are a few of the research areas Wang is currently working on:

Computational reliability and uncertainty quantification methods leveraging domain-specific knowledge of civil engineering

The hypothesis is that an optimal (e.g., efficient, accurate, interpretable, scalable, general) computational method does not exist if a wide spectrum of problems is considered; the domain knowledge should be injected into the design of computational methods for a particular class of problems.  

Statistical physics methods for analyzing the regional-scale impact of natural hazards

The hypothesis is that complex systems often reveal simple and striking statistical regularities when examined using the appropriate methods and metrics. Statistical physics offers a formal apparatus to analyze system-level behaviors of complex many-body systems emerging from component-level interactions and interdependencies. 

Other research activities related to probabilistic methods 

Stochastic dynamics of disasters.

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