Research Interests: Deep Learning for Pedestrian Safety, Spatiotemporal Data Modeling in Transportation, Generative AI for Transportation and Mobility Data, Conflict-based Crash Prediction.
I am a Ph.D candidate at KAIST. My research focuses on deep learning for pedestrian safety, spatiotemporal data modeling in transportation, generative AI for transportation and mobility data, and conflict-based crash prediction.
Find my works:
Recent News
11/01/2025
Submitted a journal manuscript on integrating deep learning-based motion prediction with extreme value theory for crash risk estimation. [Paper] [Venue]
10/21/2025
Paper accepted at Transportation Research Interdisciplinary Perspectives on a novel surrogate safety metric for pedestrian potential risk evaluation. [Paper] [Venue]
01/06/2025
Presented a lectern-session paper at Transportation Research Board Annual Meeting. [Paper]
[Venue]
10/23/2023
Presented large-scale road network traffic speed prediction work at the 34th KKHTCNN Symposium on Civil Engineering. [Paper] [Venue]
11/01/2021
Won third prize in Transportation Research Board Data Challenge 2022.
08/01/2020
Started master program in Civil and Environmental Engineering at KAIST.
Mailing Address
Korea Advanced Institute of Science and Technology (KAIST)
291 Daehakro, Yuseong-gu, Daejeon, Republic of Korea