Assistant Professor, Ajou University, South Korea (Mar 2023 – )
Department of Transportation System Engineering
Research Fellow, National University of Singapore, Singapore (Jun 2022 – Feb 2023)
Department of Civil & Environmental Engineering (Advisor: Prof. Prateek Bansal)
Postdoctoral Researcher, Seoul National University, South Korea (Mar 2021 – May 2022)
BK Education & Research Program for InfraSPHERE (Advisor: Prof. Dong-Kyu Kim)
Research Volunteer, University of California at Berkeley, United States (Jan 2017 – Feb 2017)
Safe Transportation Research and Education Center (SafeTREC) (Advisor: Dr. David Ragland)
Seoul National University, South Korea (Mar 2016 – Feb 2021)
Integrated MA/Ph.D., Department of Civil & Environmental Engineering (Advisor: Prof. Dong-Kyu Kim)
Thesis Title: A Deep Generative Modeling Framework for Synthesizing Individual-specific Activity Schedule
Committee: Prof. Seung-Young Kho, Prof. Chungwon Lee, Prof. Keemin Sohn, and Prof. Jinhee Kim
Seoul National University, South Korea (Mar 2010 – Feb 2016)
BSc, Department of Civil & Environmental Engineering
Outstanding Research Professor, Ajou University, 2025
Outstanding Teaching Professor, Ajou University, 2024
Outstanding Research Professor, Ajou University, 2024
Outstanding Research Professor, Ajou University, 2023
Yongtaek Lim Award (Outstanding Ph.D. Dissertation Competition), MESH, 2024
Outstanding Paper Award, The 40th Anniversary International Conference of the Korean Society of Transportation, 2022
Outstanding Paper Award, The 85th Conference of Korean Society of Transportation, 2021
Outstanding Paper Award, The 81th Conference of Korean Society of Transportation, 2019
Outstanding Paper Award, The 2018 Korea Institute of ITS Fall Conference, 2018
Outstanding Paper Award, The 79th Conference of Korean Society of Transportation, 2018
Outstanding Paper Award, The 2016 Korea Institute of ITS Spring Conference, 2016
Generative Data Fusion of Travel Survey and Smart Card Data for Heterogeneous Activity Schedule Generation (Presentation link)
IATBR Webinar: The Role of Emerging LBS Data in Travel Demand Modeling, Oct 2025
International Association for Travel Behaviour Research (IATBR)
Opening the Black Box of AI for Travel Demand Forecasting: Limitations and Opportunities (Korean) (Presentation link)
Core-YSC Session, The 93rd Conference of Korean Society of Transportation, Sep 2025
Korean Society of Transportation, South Korea
Collaborative Generative Adversarial Networks (CollaGAN) for Mobility Data Fusion to Generate Heterogeneous Activity Schedules
in Urban Digital Twins (Presentation link)
Future Cities Laboratory Global Seminar, Jan 2025
National University of Singapore, Singapore
Generative AI for Travel Demand Forecasting and Its Application to Digital Twin (Korean) (Presentation link)
KOTI-KST YSC Joint Seminar, Oct 2024
The Korea Transport Institute, South Korea
Demand Forecasting for Future Vehicles from the Perspective of Transportation Planning (Korean) (Presentation link)
The 3rd Co-Week Academy, Jul 2024
Keimyung University, South Korea
Generative AI for Transportation Planning in Smart City (Presentation link).
Smart City Innovative Human Resources Development Project, Apr 2024
Pusan National University, South Korea
Lattice Network: A New Flexible and Partially Monotonic Discrete Choice Model (Presentation link).
Advance in Travel Behavior Research, Korea-Japan Networking Seminar in Transportation Research, Mar 2024
Yonsei University, South Korea
Generative AI for Travel Demand Forecasting: Disaggregated, Data-driven, and Data-fusion (Presentation link).
KAIST Seminar of Fall 2023, Oct 2023
KAIST, South Korea
Smart Mobility Service and Data (Korean) (Presentation link)
The 2nd Co-Week Academy, Jul 2023
Konkuk University, South Korea
Eliciting and Modeling Decoy Effects on Electric Vehicle Adoption Preference of Ride-hailing Drivers in Singapore (Presentation link)
The 6th China-Korea Joint Seminar on Sustainable Transportation System, Jun 2023
Chang'an University, China
A Deep Learning for Travel Demand Forecasting: Data-driven and Data-fusion Approach (Korean) (Presentation link)
Research Seminar, Feb 2023
The Korea Transport Institute, South Korea
Advancing Deep Neural Network Based On Theory-driven Behavioral Knowledge (Presentation link)
2022 Future-Shaping ACE (Architecture, Civil, and Environment) Congress, Nov 2022
BK21 FOUR R&E Center for Civil, Environmental, and Architectural Engineering, Korea University, South Korea
A Deep Generative Model for Feasible and Diverse Population Synthesis (Presentation link)
33rd KKHTCNN Symposium on Civil Engineering, Nov 2022
Department of Civil & Environmental Engineering, National University of Singapore, Singapore
Domain-knowledge-based Regularization For Deep Neural Networks (Presentation link)
Research Seminar, Nov 2022
School of Civil and Environmental Engineering, Urban Design and Studies, Chung-Ang University, South Korea
AI-based Travel Demand Model for Smart Mobility (Korean) (Presentation link)
Research Seminar, Nov 2021
The Korea Transport Institute, South Korea
Vision-based Traffic Data Collection for UAV images (Korean) (Presentation link)
Research Seminar, May 2021
The Korea Transport Institute, South Korea
Travel Demand Model for Future Transportation System: Data-driven and Data-fusion Approach (Korean) (Presentation link)
Research Seminar, Feb 2021
The Seoul Institute, South Korea
Editorial Board Editors, Korean Society of Transportation (KST), Mar 2023 – Present.
Chair, Mobility Innovation Committee, The Korean Institute of Intelligent Transport Systems (KITS), Jan 2024 – Dec 2024.
Reviewer, Transportation Research Part A, Aug 2023 – Present.
Reviewer, Transportation Research Part B, Sep 2023 – Present.
Reviewer, Transportation Research Part C, Aug 2022 – Present.
Reviewer, Transportation Research Part D, Aug 2024 – Present.
Reviewer, Transportation, Jul 2022 – Present.
Reviewer, Transport Policy, May 2022 – Present.
Reviewer, Transportation Research Board (TRB), Aug 2021 – Present.
Reviewer, IEEE Transactions on Intelligent Transportation Systems, Feb 2024 – Present.
Reviewer, Scientific Report, Apr 2023 – Present.
Reviewer, Engineering Applications of Artificial Intelligence, Nov 2022 – Present.