Personal profile
Education
Ph.D. in Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, 2021
M.S. in Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, 2016
B.S. in Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, 2014
M.S. in Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, 2016
B.S. in Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, 2014
Professional Experience
Research Assistant Professor in Dept. of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea (Nov. 2024 – Aug. 2025)
Postdoctoral Fellow in Laboratory of Information and Decision Systems, Massachusetts Institute of Technology, MA, USA (Sep. 2021 – Oct. 2024)
Visiting Scholar in University of Ferrara, Ferrara, Italy (May 2023 - May 2023)
Visiting Scholar in École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (Sep. 2017 – Nov. 2017)
Postdoctoral Fellow in Laboratory of Information and Decision Systems, Massachusetts Institute of Technology, MA, USA (Sep. 2021 – Oct. 2024)
Visiting Scholar in University of Ferrara, Ferrara, Italy (May 2023 - May 2023)
Visiting Scholar in École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (Sep. 2017 – Nov. 2017)
Research Interests
Urban Mobility
Autonomous Driving
Travel Behavior
Urban Science
Public Transit
Autonomous Driving
Travel Behavior
Urban Science
Public Transit
Major Research Achievements
J. Cho, S. Li, J. Kim, C. Wu “Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy,” IEEE Transactions on Robotics, Accepted.
S. Yang, J. Kim, S. Lim, “High-Accuracy Path Tracking for Unmanned Vehicle Navigation: A Hierarchical Deep Reinforcement Learning Approach,” IEEE Transactions on Vehicular Technology, Accepted.
J. Kim, J. Cho, C. Wu, “Reinforcement Learning for Robust Advisories under Driving Compliance Errors,” IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 6, Jun. 2025.
J. Kim, A. Conti, M. Z. Win, “Travel Demand Modeling and Estimation for High-Dimensional Mobility,” IEEE Transactions on Mobile Computing, vol. 40, no. 3, 1264-1277, Aug. 2024.
J. Kim, S. Tak, J. Lee, and H. Yeo, “Integrated Design Framework for On-Demand Transit System based on SpatiotemporalMobility Patterns,” Transportation Research Part C: Emerging Technologies, vol. 150, Mar. 2023.
S. Yang, J. Kim, S. Lim, “High-Accuracy Path Tracking for Unmanned Vehicle Navigation: A Hierarchical Deep Reinforcement Learning Approach,” IEEE Transactions on Vehicular Technology, Accepted.
J. Kim, J. Cho, C. Wu, “Reinforcement Learning for Robust Advisories under Driving Compliance Errors,” IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 6, Jun. 2025.
J. Kim, A. Conti, M. Z. Win, “Travel Demand Modeling and Estimation for High-Dimensional Mobility,” IEEE Transactions on Mobile Computing, vol. 40, no. 3, 1264-1277, Aug. 2024.
J. Kim, S. Tak, J. Lee, and H. Yeo, “Integrated Design Framework for On-Demand Transit System based on SpatiotemporalMobility Patterns,” Transportation Research Part C: Emerging Technologies, vol. 150, Mar. 2023.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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High-Accuracy Path Tracking for Autonomous Vehicle Navigation: A Hierarchical Deep Reinforcement Learning Approach
Yang, S. G., Kim, J. & Lim, S. C., 2026, In: IEEE Transactions on Vehicular Technology. 75, 2, p. 3342-3347 6 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Temporal Transfer Learning for Traffic Optimization with Coarse-Grained Advisory Autonomy
Cho, J. H., Li, S., Kim, J. & Wu, C., 2026, In: IEEE Transactions on Robotics. 42, p. 20-38 19 p.Research output: Contribution to journal › Article › peer-review
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A study on identifying representative trips for mobility service design
Kim, J., Tak, S., Yoon, J. & Yeo, H., Jan 2025, In: IET Intelligent Transport Systems. 19, 1, e12603.Research output: Contribution to journal › Article › peer-review
Open Access -
A Study on Self-Rebalancing in Inter-Region Vehicle Distribution for Ride-Hailing Services
Kim, J., Kim, J. & Yeo, H., 2025, In: Procedia Computer Science. 257, p. 468-476 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Reinforcement Learning for Robust Advisories Under Driving Compliance Errors
Kim, J., Cho, J. H. & Wu, C., 2025, In: IEEE Transactions on Intelligent Transportation Systems. 26, 6, p. 7780-7791 12 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations