Sehoon Oh | Yonsei University

About Me

I am a M.S. student in the Department of Civil and Environmental Engineering at Yonsei University, advised by Prof. Joon Heo.
I conduct research at the Spatial Computing for Sustainable Infrastructure Laboratory (SCSI Lab).
My research focuses on Spatial Data Science, Remote Sensing, and 3D Point Cloud.
I expect to complete my M.S. degree in the first semester of 2026.

Research Interests

Spatial Data Science: Spatiotemporal modeling and mobility data analytics
Remote Sensing: Deep learning and machine learning on satellite imagery
3D Point Cloud: Scan-vs-BIM, 3D infrastructure modeling and safety assessment

News

🏆 [Nov. 2025] Our team placed Top-5 in the SIGSPATIAL GISCUP 2025 (HuMob Challenge).
📍 [Nov. 2025] Attended ACM SIGSPATIAL 2025 (Minneapolis, USA).
🎤 [Jun. 2025] Presented a poster at IAHR 2025 (Singapore).
📍 [Nov. 2024] Attended in ACM SIGSPATIAL 2024 (Atlanta, USA).
🏆 [Nov. 2023] Our team received the SIGSPATIAL GISCUP 2023 Travel Award (Top 8).
📍 [Nov. 2023] Attended in ACM SIGSPATIAL 2023 (Hamburg, Germany).

Publications

SIGSPATIAL 2025

CityCondBERT: Cross-City Transfer with GEO-BLEU-Sinkhorn Loss for Human Mobility Prediction

Sehoon Oh, Yoohyung Joo, Jiwan Hong, Ojin Kwon, Geonu Park, Daegeon Woo, Changjoon Oh, Ho Rim Lee, Joon Heo

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2025), 2025

PDF DOI Published

Journal

Improving Deep Learning-Based Precipitation Nowcasting Models: Application of Weighted Average Ensemble Methods

Sehoon Oh, Youhyung Joo, Sangyoon Park, Jiwan Hong, Joon Heo

Journal of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography (JKSGPC), Vol. 42(6), 551–559, 2024

PDF DOI Published

Journal

Analysis of Spatiotemporal Pattern Differences in Passenger Search Routes Using GPS-based Taxi Data

Jiwan Hong, Jaeyoung Jeong, Sehoon Oh, Youhyung Joo, Joon Heo

Journal of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography (JKSGPC), Vol. 42(6), 561–573, 2024

PDF DOI Published

CCE 2023

Training Data Sensitivity Analysis of Deep Neural Network for Differentiating Construction Laborers with/without Safety Helmets

Young Ho Kwon, Sangyoon Park, Ta Minh Luan, Sehoon Oh, Joon Heo

Computing in Civil Engineering 2023, pp. 516–524, 2023

PDF Published

Research Projects

Graduate Researcher — Development of Continual Learning Framework for Construction Robots using 3D Spatial Data and BIM
Funding: Ministry of Science and ICT (MSIT) · Host: Yonsei University · Period: 2025–2028
Graduate Researcher — Advanced Monitoring and Safety Assessment Technology for River-Crossing Hydraulic Structures
Funding: Ministry of Environment (MOE) · Host: Yonsei University · Period: 2024–2025
Graduate Researcher — Spatial Knowledge Reasoning Engine Technology Development
Funding: Ministry of Land, Infrastructure and Transport (MOLIT) · Host: Seoul National University (consortium) · Period: 2022–2027
Graduate Researcher — Spatial Big Data Analysis for Urban, Health, and Education Resilience
Funding: MSIT · Host: Yonsei University · Period: 2021–2024
Graduate Researcher — Development of Smart Field Support System for Disaster Site Situation Management
Funding: Ministry of the Interior and Safety (MOIS) · Host: Konkuk University · Period: 2021–2025
Researcher — Study on the Utilization of Open Data and Satellite Imagery for Analyzing Global Movements of Raw Materials (Energy, Food)
Funding: Korea Aerospace Society · Host: Yonsei University · Period: Mar–Dec 2024
Member, Spatial Computing for Sustainable Infrastructure Lab (SCSI Lab), Yonsei University (2023–Present)