| CARVIEW |
Ph.D. candidate in the Department of Civil and Environmental Engineering and Laboratory for Information and Decision Systems at Massachusetts Institute of Technology (Advisor: Prof. Cathy Wu)
Machine Learning (Contextual Reinforcement Learning, Generalization, Transfer Learning),
Smart Transportation (Mixed Autonomy, Advisory Autonomy, Shared Mobility, Micromobility),
Sustainable Transportation and Decarbonization (Incentive Design for Eco-Driving Guidance)
Nov 7, 2025: Our paper (Structure Detection for Contextual Reinforcement Learning) was accepted at AAAI 2026.
Oct 9, 2025: Our paper (Eco-driving Incentive Mechanisms for Mitigating Emissions in Urban Transportation) was accepted in IEEE Transactions on Control of Network Systems (TCNS).
Oct 7, 2025: Our paper (Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy) was accepted in IEEE Transactions on Robotics (T-RO).
Aug 27, 2025: I gave a talk at Cornell IDS Lab on Model-Based Transfer Learning for Contextual Dynamical Systems.
Jun 19, 2025: Our paper (The Nah Bandit: Modeling User Non-compliance in Recommendation Systems) was accepted in IEEE Transactions on Control of Network Systems (TCNS).
Feb 25, 2025: Poster presentation at MIT CEE research day.
Jan 30, 2025: Our paper (Reinforcement Learning for Robust Advisories under Driving Compliance Errors) was accepted in IEEE Transactions on Intelligent Transportation Systems (T-ITS).
Dec 12, 2024: We presented our poster "Model-Based Transfer Learning for Contextual Reinforcement Learning" at the NeurIPS 2024 conference.
Nov 22, 2024: Our paper is featured by MIT News and SciTechDaily!
Nov 12, 2024: I gave a talk at LIDS Autonomy Tea Talk on Model-Based Transfer Learning for Contextual Reinforcement Learning.
Sep 27, 2024: Our paper (Cooperative Advisory Residual Policies for Congestion Mitigation) was accepted in ACM Journal on Autonomous Transportation Systems.
Sep 25, 2024: Our paper (Model-Based Transfer Learning for Contextual Reinforcement Learning) was accepted at NeurIPS 2024.
Sep 4, 2024: We presented our poster "Large Language Models for Travel Behavior Prediction" at the TRC-30 conference.
Sep 3, 2024: I presented our paper, "Learning-based Incentive Design for Eco-Driving Guidance," at the TRC-30 conference.
Aug 1, 2024: Our paper (Model-Based Transfer Learning for Contextual Reinforcement Learning) was accepted at EWRL17.
May 26-29, 2024: Attended 2024 IEEE ITS WiE/YP Workshop and Research Forum.
Apr 2, 2024: Passed General Exam at MIT CEE.
Mar 28, 2024: Our paper (Expert with Clustering: Hierarchical Online Preference Learning Framework) was accepted at L4DC 2024.
Feb 29, 2024: Our paper (Incentive Design for Eco-driving in Urban Transportation Networks) was accepted at ECC 24.
Feb 26, 2024: Poster presentation at MIT CEE research day.
Feb 23, 2024: Received the fellowship to join the 2024 IEEE ITS WiE/YP Workshop and Research Forum.
Jan 4, 2024: Gave a talk (Learning for Traffic Flow Optimization) at the University of Seoul.
Feb 14, 2023: Poster presentation at MIT CEE research day.
August 19, 2022: Happy to join Wu Lab at MIT!
May 2022: Honor to receive a scholarship from the Kwanjeong Educational Foundation.
April 30, 2022: Our paper (Multi-scale Causality Analysis between COVID-19 Cases and Mobility Using Ensemble Empirical Mode Decomposition and Causal Decomposition) was published in Physica A.
Zhou, T.†, Cho, J.-H.†, & Wu, C.* (2026). Structure Detection for Contextual Reinforcement Learning. Annual AAAI Conference on Artificial Intelligence (AAAI). Accepted. [webpage]
Cho, J.-H., Li, S., Kim, J., & Wu, C.* (2025). Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy, IEEE Transactions on Robotics (T-RO). [link]
Cho, J.-H., Jayawardana, V., Li, S. & Wu, C.* (2024). Model-Based Transfer Learning for Contextual Reinforcement Learning, Advances in Neural Information Processing Systems (NeurIPS), 2024.
[preprint] [webpage] [MIT News]
Ph.D. in Civil and Environmental Engineering at Massachusetts Institute of Technology (Cambridge, MA) | 2022 – Present
Advisor: Prof. Cathy Wu
M.S. in Civil and Environmental Engineering at Seoul National University (Seoul, Korea) | 2020 – 2022
Thesis: Developing Variable Speed Limit Control and Ramp Metering Strategy for Freeways Using Deep Reinforcement Learning (Supervised by Prof. Dong-Kyu Kim and Prof. Seung-Young Kho)
B.S. in Civil and Environmental Engineering at Seoul National University (Seoul, Korea) | 2014 – 2020
Cum Laude / Thesis: Comparison of Efficiency of Public Bike Repositioning Strategies based on the Temporal and Spatial Predicted Demand Pattern (Supervised by Prof. Dong-Kyu Kim)
Cho, J.-H., Li, S., Kim, J., & Wu, C.* (2026). Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy. IEEE Transactions on Robotics (T-RO). [link]
Niazi, M., Cho, J.-H., Dahleh, M., Dong, R., & Wu, C.* (2026). Eco-driving Incentive Mechanisms for Mitigating Emissions in Urban Transportation. IEEE Transactions on Control of Network Systems (TCNS). [link]
Zhou, T., Cho, J.-H., & Wu, C.* (2025). The Nah Bandit: Modeling User Non-compliance in Recommendation Systems. IEEE Transactions on Control of Network Systems (TCNS). [link, webpage]
Kim, J., Cho, J.-H., & Wu, C.* (2025). Learning for Robust Advisory Autonomy under Execution Errors. IEEE Transactions on Intelligent Transportation Systems (T-ITS). [link]
Hasan, A., Chakraborty, N., Chen, H., Cho, J.-H., Wu, C. & Driggs-Campbell, K. (2024). Cooperative Advisory Residual Policies for Congestion Mitigation. ACM Journal on Autonomous Transportation Systems. [link]
Cho, J.-H., Kim, D.-K., & Kim, E.-J.* (2022). Multi-scale causality analysis between COVID-19 cases and mobility level using ensemble empirical mode decomposition and causal decomposition. Physica A: Statistical Mechanics and its Applications. [link]
Cho, J.-H., Seo, Y.-H., & Kim, D.-K.* (2021). Efficiency Comparison of Public Bike-sharing Repositioning Strategies Based on Predicted Demand Patterns. Transportation Research Record: Journal of the Transportation Research Board. [link]
Cho, J.-H., Ham, S. W., & Kim, D.-K.* (2021). Enhancing the Accuracy of Peak Hourly Demand in Bike-Sharing Systems Using a Graph Convolutional Network with Public Transit Usage Data. Transportation Research Record: Journal of the Transportation Research Board. [link]
Ham, S. W., Cho, J.-H., Park, S.-W., & Kim, D.-K.* (2021). Spatiotemporal Demand Prediction Model for E-scooter Sharing Services with Latent Feature and Deep Learning. Transportation Research Record: Journal of the Transportation Research Board. [link]
Zhou, T.†, Cho, J.-H.†, & Wu, C.* (2026). Structure Detection for Contextual Reinforcement Learning. AAAI 2026 (Accepted). [webpage]
Cho, J.-H., Jayawardana, V., Li, S. & Wu, C.* (2024, Dec 9-15). Model-Based Transfer Learning for Contextual Reinforcement Learning [Poster presentation]. Advances in Neural Information Processing Systems (NeurIPS), Vancouver, Canada. [preprint] [webpage] [MIT News]
Cho, J.-H., Niazi, M., Du, S., Zhou, T., Dong, R., & Wu, C.* (2024, Sep 2-4). Learning-based Incentive Design for Eco-Driving Guidance [Oral presentation]. Conference in Emerging Technologies in Transportation Systems (TRC-30), Crete, Greece.
Mo, B., Xu, H., Cho, J.-H., Zhuang, D., Ma, R., Guo, X., & Zhao, J.* (2024, Sep 2-4). Large Language Models for Travel Behavior Prediction [Poster presentation]. Conference in Emerging Technologies in Transportation Systems (TRC-30), Crete, Greece.
Zhou, T., Cho, J.-H., Ardabili, B. R., Tabkhi, H., & Wu, C.* (2024, July 15-17). Expert with Clustering: Hierarchical Online Preference Learning Framework. 6th Annual Learning for Dynamics & Control Conference, Oxford, UK. [link]
Niazi, M., Cho, J.-H., Dahleh, M., Dong, R., & Wu, C.* (2024, June 25-28). Incentive Design for Eco-driving in Urban Transportation Networks. European Control Conference, Stockholm, Sweden.
Hasan, A., Chakraborty, N., Chen, H., Cho, J.-H., Wu, C. & Driggs-Campbell, K. (2023, Septem- ber 24-28), PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems. 26th IEEE International Conference on Intelligent Transportation Systems, Bilbao, Spain. [link]
Cho, J.-H., Ham, S. W., Kim, E.-J., & Kim, D.-K.* (2022, January 9–13). A Comparative Analysis of Usage Patterns of Bike-sharing and E-scooter-sharing in Seoul [Poster presentation]. Transportation Research Board 101st Annual Meeting, Washington DC, United States.
Cho, J.-H., Lee, E. H., Kho, S.-Y., & Kim, D.-K.* (2021, November 11–12). Developing Variable Speed Limit Control and Ramp Metering Strategy for Freeways Using Deep Reinforcement Learning (Korean) [Oral presentation]. 85th Conference on the Korean Society of Transportation, Jeju, Korea.
Cho, J.-H., & Kim, D.-K.* (2021, October 21–22). Reinforcement Learning based Variable Speed Limit Control Strategy on Each Lane to Prevent Accident caused by the reduction of highway lanes (Korean) [Oral presentation]. 2021 Fall Conference on the Korea Institute of Intelligent Transport Systems, Jeju, Korea.
Ham, S. W., Cho, J.-H., & Kim, D.-K.* (2021, April 22–23). Establishing Micro-Mobility Demand Aggregation Methodology Considering Interregional Relationship (Korean) [Oral presentation]. 2021 Spring Conference on the Korea Institute of Intelligent Transport Systems, Gangneung, Korea.
Cho, J.-H., Ham, S. W., & Kim, D.-K.* (2021, January 24–28). Enhancing the Accuracy of Peak Hourly Demand in Bike-Sharing Systems Using a Graph Convolutional Network with Public Transit Usage Data [Poster presentation]. Transportation Research Board 100th Annual Meeting, Washington DC, United States. [Link]
Cho, J.-H., Ham, S. W., & Kim, D.-K.* (2020, November 19–20). A Comparison study on Micro-mobility Usage Pattern: focusing on Bike-sharing service and E-Scooter share service in Seoul, Korea (Korean) [Oral presentation]. 2020 Fall Conference on the Korea Institute of Intelligent Transport Systems, Jeju, Korea.
Bang, H.†, Cho, J.-H.†, Wu, C., & Malikopoulos, A. (2025). Route Recommendations for Traffic Management Under Learned Partial Driver Compliance. Under review. [preprint]
Cho, J.-H., Zhang, H., Du, S., Dong, R., & Wu, C.* (2025). Formalizing and Estimating Task-Space Complexity for Zero-Shot Generalization. Under review.
Researcher in Institute of Engineering Research at Seoul National University (Seoul, Korea) | Apr – Jul 2022
Assessment of traffic impact by the construction of parking lot using microsimulation (Samsung C&T)
Graduate Research Assistant at Seoul National University (Seoul, Korea) | Feb 2020 – Feb 2022
Development of infrastructure information integration and management technologies for real-time traffic safety facility operation (Korean National Police Agency, Apr 2021 – Feb 2022)
A Basic Plan for Strategic Project to Build Urban Railway Network in Gyeongsangnam-do Province (Gyeongsangnam-do, Mar 2020 – Feb 2022)
Analysis of the Effect of Bus Route Adjustment for Daejeon LRT Operation (Korea Railroad Research Institute, Mar 2020 – Jul 2021)
Research Project on the Prediction of the Optimal Density of Shared E-scooter System (Deer Corporation, Mar 2021 – May 2021)
Business Developer at VCNC Inc. (Internship) | Jun – Aug 2019
Worked for TADA (the largest ride-hailing service in Korea) Business Development Team
Organized and operated ride-hailing reservation service
Designed the plan for supplying vehicles for the holiday season based on big data analysis
Automated ride assignment system considering driver work schedules and spatiotemporal characteristics of the reserved rides
2024 Fellowship Program for Promoting Diversity and Leadership in ITS (IEEE Intelligent Transportation Systems Society) | 2024
Kwanjeong Educational Foundation Scholarship (21st) | 2022 - Present
Merit based Scholarship from Seoul National University (for Graduate students) | 2021–S
Merit based Scholarships from Gwanak Corporation | 2019–S, 2019–F
Merit based Scholarship from Seoul National University (for Undergraduate students) | 2014-F, 2015-S, 2015-F, 2016–S
2nd place in Best Thesis Paper Award (Department of Civil and Environmental Engineering in Seoul National University) | 2019
1st place in Best Portfolio Award (Department of Civil and Environmental Engineering in Seoul National University) | 2019
Best paper award for undergraduate students in the 2019 Fall Conference of The Korea Institute of Intelligent Transportation Systems | 2019
1st place in Academic Excellence Award (GPA 4.30/4.30 in 2018-F semester) | 2019
Winning a Prize in 1st Civil & Environmental Smart City Contest 2018 | 2018
Bronze Medal in Civil Structure Contest 2016 by Korean Society of Civil Engineers | 2016
Gold Medal (1st Place) in Competition for creativity (Department of Civil and Environmental Engineering in Seoul National University) | 2014
Seoul National University
457.526A(002) Public Transportation Engineering | 2021-S, 2020-S
457.405(001) Introduction to Traffic Operation | 2021-S
457.408(001) Integrated Design of Civil Engineering Systems | 2020-F
457.208(001) Traffic Engineering and Laboratory | 2020-F
457.405(001) Introduction to Traffic Operation | 2020-S
Planning and Operations Manager at Teach For Korea (Seoul, Korea) | Feb 2019 – Mar 2020
Squad Leader (Sergeant) at Republic of Korea Army (Yeoncheon, Korea) | Jul 2016 – Apr 2018
Math teacher and Head teacher at Teach For Korea (Seoul, Korea) | Mar 2015 – Apr 2016
Here’s how Gemini describes me. https://gemini.google.com/share/51bf207241a5