I am currently a postdoctoral researcher at Seoul National University, advised by Prof. Dong-Kyu Kim.
My research focuses on how emerging technologies can address contemporary challenges in transportation systems through innovative, data-driven approaches.
I am always open to discussions on related topics and potential research collaborations.
You may reach me at yoonhs1113 at snu.ac.kr
News
October 1, 2025: Four papers accepted to the TRB annual meeting! See you at D.C.!
February 14, 2025: I’m excited to join the BK Education & Research Program for InfraSPHERE at Seoul National University.
December 26, 2024: I have successfully defended my doctoral dissertation!
December 30, 2024: I’m delighted to be joining Ajou University as a lecturer for Transportation Network Theory and Transportation Seminar III in 2025.
March 14, 2024: Completed a 3-week Basic Military Training course for the Republic of Korea Army.
January 24, 2024: I am honored to be selected for the Brain Korea 21 Future Innovative Talent scholarship
Publications
Lee, E. H., Yun, H., Cho, S.H., & Lee, E. (2025). Aggressive driving in ride-hailing: Work hours and road conditions. Journal of Transportation Safety & Security
Yun, H. & Lee, E. H. (2025). Party politics in transport policy with a large language model. Transport Policy
Min, D., Yun, H., Kim, D. K., & Ham, S. W. (2025). Dynamic Origin-Destination Matrix Estimation Using Metamodel-Based Model Predictive Control for Real Time Application. Transportation Research Record
Kim, P., Yun, H., Kim, J., & Kim, D. K. (2025). Scalable link cost learning for real-time route guidance systems. Transportation Research Part C: Emerging Technologies
Yun, H., Kim, E. J., Ham, S. W., & Kim, D. K. (2024). Navigating the non-compliance effects on system optimal route guidance using reinforcement learning. Transportation Research Part C: Emerging Technologies
Min, D., Yun, H., Ham, S.W., & Kim, D. K. (2023). Real-time estimation of origin-destination matrices using a deep neural network for digital twins. Transportation Research Record
Yun, H., Lee, E. H., Moon, S., & Kim, D. K. (2023). Data-driven approach for measuring and managing physical distancing in subways during pandemic conditions. Transportation Research Record
Yun, H., Kim, E. J., Ham, S. W., & Kim, D. K. (2022). Price incentive strategy for the e-scooter sharing service using deep reinforcement learning. Journal of Intelligent Transportation Systems
Yun, H., Lee, E. H., Kim, D. K., & Cho, S. H. (2021). Development of estimating methodology for transit accessibility using smart card data. Transportation Research Record
Papers Under Review
Lim*, S.Y., Yun. H.*, Bansal, P., Kim, D.K., & Kim, E.J. A Large Language Model for Feasible and Diverse Population Synthesis. (Under Review) [preprint]
Lee, E. H., Lee, E., Lee, Y.-I., Yun, H., Yun, H.-R., Lee, G., & Lee, T. Fare-free Subway and Senior Delivery Work in Seoul. (Under Review)
Kim, P., Yun, H., & Kim, D. K. Two-phase Clustering for Behavior-adaptive Route Guidance Systems. (Under Review) [preprint]
Lee, E. H. & Yun, H. DeciGen: Generative Model for Multi-Criteria Decision Making in Transportation Planning. (Under Review)
Choi, S., Choi, J., Kim, D. K., & Yun, H. A Two-Stage Framework for Anomaly Detection and Classification in Loop Detector Data. (Under Review)
Lee, S. H., Yun, H., Ham, S. W., & Kim, D. K. Impact of Traffic Management Center Functionality on Speed Harmonization in Urban Networks under Mixed Traffic Environments. (Under Review) [preprint]
* These authors contributed equally as co-first authors.
Experiences
Postdoctoral Researcher - Seoul National University (2025)
Affiliated with Brain Korea Education & Research Program for InfraSPHERE and Institute of Construction & Environmental Engineering.
Guest Lecturer - Ajou University (2025)
Teaching Transportation Network Theory and Transportation Seminar III
Research internship - Kakao Mobility AI R&D team (2021)
Developed a dynamic pricing algorithm for bike-sharing service with dynamic programming and reinforcement learning, considering supply capacity and demand fluctuation
Created a short-term demand prediction model using the poisson point process to discover the time-variant supply-demand relationship of the bike-sharing service
Honors and Awards
Best Paper Award, Korean Society of Transportation (2025, 2026)
Brain Korea 21 Future Innovative Talent Scholarship (2024)
Best Paper Award for Technological Innovation, The 15th International Conference of Eastern Asia Society for Transportation Studies (2023)
Brain Korea 21 Scholarship. (2023, 2024)
Ph.D. Candidate Scholarship from the National Research Foundation of Korea (2022)
Best Paper Award, The Korea Institute of Intelligent Transportation Systems. (2021, 2022, 2023 (2))
Excellence Award, ESG Smart City Entrepreneurship Hackathon. (2023)