Byeongseong Choi

Hello, I am a postdoctoral researcher at the University of Texas at Arlington. My research focuses on developing uncertainty-aware frameworks to support resilient and sustainable civil and environmental systems. By integrating probabilistic modeling, risk assessment, and decision analysis, I aim to address challenges such as environmental hazards, urbanization, and infrastructure vulnerability under uncertainty. My work combines statistical inference, physical modeling, and large-scale environmental data to improve decision-making in complex systems.

Currently, I am developing a framework for the optimal placement of low-cost environmental sensors to capture spatiotemporal trends of hazards—such as air and water pollution or flooding—in coastal communities. This work leverages principles of information theory to support equitable and cost-effective sensor network design. My research has also addressed a range of topics, including probabilistic modeling of urban temperature and building energy demand, regional seismic risk assessment, and long-term water system planning under climate uncertainty.

More broadly, my research aims to develop sensing-enabled digital representations of urban and environmental systems that support risk-informed decision-making. I integrate environmental sensing, AI/data-driven modeling, and probabilistic inference to translate heterogeneous environmental observations into predictive models and decision-support tools. These approaches are designed to improve monitoring, risk assessment, and planning in complex urban and environmental systems.

I hold my Ph.D. degree in Civil and Environmental Engineering from Carnegie Mellon University and M.S. and B.S. degrees in Civil and Environmental Engineering from Seoul National University.