Research

As civil and environmental systems face escalating challenges from natural hazards, environmental variability, urbanization, and evolving industrial activity, infrastructure resilience has become a critical societal challenge. Disruptive events such as extreme heat, poor air quality, flooding, and seismic hazards increasingly affect infrastructure, leading to economic losses and risks to public safety. These challeng-es are further compounded by uncertainties in both natural systems and infrastructure responses.

My research focuses on developing uncertainty-aware modeling approaches to support resilient and sustainable infrastructure and environmental systems. I integrate probabilistic methods, digital modeling, and large-scale environmental data to quantify risk, assess system performance, and inform decision-making.

Summary of SAD model
Conceptual Visualization of Spatiotemporal Model for Air Quality Monitoring and Model-based Data-fusion
Summary of Urban Temperature and Building Energy
Graphical Summary of my PhD Thesis for Studying Relationships Between Urban Temperature and Building Energy Use
Summary of Computationally Efficient Regional Seismic Risk Analysis
Summary of Computationally Efficient Regional Seismic Risk Analysis