Byeongseong Choi

I am a postdoctoral researcher in the KAIST–KAERI InnoCORE Program. My current research focuses on risk and resilience of small modular reactors (SMRs) under extreme events, with an emphasis on probabilistic hazard/climate modeling and risk analysis. More broadly, my expertise lies in uncertainty quantification, probabilistic modeling, and risk-informed decision-making for civil, environmental, and infrastructure systems. I integrate physics-based models, statistical inference, and data-driven methods to characterize complex systems under uncertainty.

Previously, I was a postdoctoral fellow at The University of Texas at Arlington, where I worked on sensing-enabled urban system modeling for air quality and environmental decision-making. My research integrated satellite observations, low-cost sensors, and government monitoring networks, with applications to environmental justice and sensor network design.

My prior work has also addressed probabilistic modeling of urban heat and building energy demand, as well as probabilistic seismic hazard and loss assessment for regional infrastructure 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.

Research Experiences

Decision support for resilient urban, infrastructure, and environmental systems through uncertainty-aware modeling and data-driven analysis across scales.

Infrastructure Risk & Resilience

Uncertainty-aware modeling and risk assessment for large-scale infrastructure systems exposed to seismic hazards.

Urban Heat & Building Energy Systems

Uncertainty-aware modeling of urban climate impacts and decision support for building energy systems.

Air Quality & Sensing Networks

Multimodal sensing networks and data fusion for urban and environmental monitoring.

Climate & Hydroclimatic Hazards

Bayesian modeling for global–regional hydroclimatic processes and water resource risk assessment.