Ziqi Wang

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:

Reliability and Uncertainty Quantification methods leveraging domain/problem-specific knowledge

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. 

Here are a few preliminary results, collaborated with Postdoctoral researchers Jianhua Xian and Jungho Kim : 

• [2303.13023] Relaxation-based importance sampling for structural reliability analysis (arxiv.org)
• [2304.06252] Adaptive active subspace-based metamodeling for high-dimensional reliability analysis (arxiv.org)
• [2208.08991] Optimized Equivalent Linearization for Random Vibration (arxiv.org)

Probabilistic approaches for analyzing the regional-scale impact of earthquakes 

• Statistical physics and information-theoretic approaches in modeling and analyzing the collective behaviors of networked structures under earthquakes. This is an ongoing PhD research project for Xiaolei Chu and Sebin Oh. 
• System-level seismic analysis of highway networks, as part of the Caltrans-PEER project "Prioritizing Regional Needs for Recovery Bridges through Post-earthquake Corridor Identification and System Fragility Assessment of the SF Region." z_wang.pdf (berkeley.edu)

Other research activities related to probabilistic methods 

• Entropy-based metric for the impact of COVID. 
• Modeling interactions of the psychological and physical responses to COVID to analyze the potential polarization of the collective psychological state of individuals. 

Here are a few preliminary results, collaborated with Marco Broccardo, Arnaud Mignan, and Didier Sornette:

• 2007.04136.pdf (arxiv.org)
• (in Chinese) "https://www.bilibili.com/video/BV1wY4y1y7aX/?spm_id_from=333.999.0.0"