Jaehwan Jeon

Jaehwan Jeon

Jaehwan Jeon is a Postdoctoral Fellow in Civil and Mineral Engineering at the University of Toronto. His research tackles the two bottlenecks of structural safety prediction — computation and expertise — scaling both with AI while making that AI trustworthy.

Talks

  1. Trustworthy AI for the Built Environment: A Multi-Agent LLM Framework for Structural Reliability Analysis

    Future of the Building Industry (FoBI) Workshop, Durham School of Architectural Engineering and Construction, University of Nebraska–Lincoln (Omaha, NE, USA) — August 11, 2026

  2. Prediction and Uncertainty Quantification of Complex Structural System's Dynamic Response via Physics-informed Deep Learning

    Joint seminar with Prof. Jize Zhang's group (Hong Kong University of Science and Technology) and Prof. Junho Song's group (Seoul National University) (Hong Kong) — December 19, 2025

  3. Uncertainty Quantification and Decomposition in Hysteresis Modeling Using Ensemble of Bayesian Neural Networks

    Invited seminar by Prof. Junho Song's group (Seoul National University), hosted by Prof. Yanhui Liu's group (Guangzhou University) (Guangzhou) — December 18, 2025

  4. Ensemble-based Uncertainty Quantification and Decomposition for Probabilistic Surrogate Models in Structural Dynamics

    Joint seminar with Prof. You Dong's group (Hong Kong Polytechnic University) and Prof. Junho Song's group (Seoul National University) (Hong Kong) — December 16, 2025

  5. Physics-Based Seismic Hysteresis Modeling Method Using Long Short-Term Memory Model

    Joint seminar with Prof. Tao Wang's group (Hong Kong Polytechnic University) and Prof. Oh-Sung Kwon's group (University of Toronto) (Online) — January 25, 2024