Kaidi Yang

Biography

Kaidi Yang is an ETH-trained Ph.D. with experience in transportation, operations research, and robotics. He aims to develop efficient and trustworthy algorithms for the design and operation of future mobility systems, with a particular focus on advances in vehicular technology (e.g., connected and automated vehicles, electric vehicles, etc.) and shared mobility. Before joining NUS, he was a postdoctoral scholar with the Autonomous Systems Lab at Stanford University. He received his Ph.D. from ETH Zurich in 2019, M.Sc. in Control Science and Engineering from Tsinghua University in 2014, and dual bachelor’s degrees in Automation and Mathematics from Tsinghua University in 2011.

Qualifications

• Ph.D., Civil and Environmental Engineering (specialized in Transportation), ETH Zurich, 2019
• M.Sc., Control Science and Engineering, Tsinghua University, 2014
• B.Sc. (Dual), Pure and Applied Mathematics, Tsinghua University, 2011
• B.Eng., Automation, Tsinghua University, 2011

Position Held

• Assistant Professor, National University of Singapore, 2022 – Present
• Postdoctoral Scholar, Stanford University, 2019-2022

Selected Honours & Awards

• Postdoc Mobility Fellowship, Swiss National Science Foundation (2021-2022)
• Early Postdoc Mobility Fellowship, Swiss National Science Foundation (2019-2020)
• Best Student Paper Award, IEEE Intelligent Transportation Systems Conference (2020)
• Chinese Government Award for Outstanding Self Finance Students Abroad (2019)
• Best Paper Award, OMEGA: The International Journal of Management Science (2019)
• Student Fellow for the 22nd International Symposium for Transportation and Traffic Theory (2017)

Professional Activities

• Associate Editor, IEEE Conference on Intelligent Transportation Systems, 2024

Research Interests

• Intelligent Transportation Systems
• Traffic flow theory and traffic control
• Multimodal transportation systems
• Shared Mobility
• Connected and Automated Vehicles
• Data privacy and cyber security in transportation systems

Selected Publications

1. Genser, Alexander, Michail A. Makridis, Kaidi Yang, Lukas Ambühl, Monica Menendez, and Anastasios Kouvelas. “Time-to-Green predictions for fully-actuated signal control systems with supervised learning.” IEEE Transactions on Intelligent Transportation Systems (2024).
2. Tan, Chaopeng, and Kaidi Yang*. “Privacy-preserving adaptive traffic signal control in a connected vehicle environment.” Transportation research part C: emerging technologies 158 (2024): 104453.
3. Gammelli, Daniele, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, and Francisco C. Pereira. “Graph Reinforcement Learning for Network Control via Bi-Level Optimization.” In International Conference on Machine Learning (ICML) (2023).
4. Deng, Zhiyun, Kaidi Yang, Weiming Shen, and Yanjun Shi. “Cooperative platoon formation of connected and autonomous vehicles: toward efficient merging coordination at unsignalized intersections.” IEEE Transactions on Intelligent Transportation Systems (2023).
5. Tsao, Matthew*, Kaidi Yang, Stephen Zoepf, and Marco Pavone. “Trust but verify: Cryptographic data privacy for mobility management.” IEEE Transactions on Control of Network Systems(2022).
6. Dakic, Igor, Kaidi Yang*, Monica Menendez, and Joseph YJ Chow. “On the design of an optimal flexible bus dispatching system with modular bus units: Using the three-dimensional macroscopic fundamental diagram.” Transportation Research Part B: Methodological148 (2021): 38-59.
7. Biao Yin*, Monica Menendez, and Kaidi Yang. “Joint optimization of intersection control and trajectory planning accounting for pedestrians in a connected and automated vehicle environment.” Sustainability13, no. 3 (2021): 1135.
8. Kaidi Yang*, Monica Menendez, and S. Ilgin Guler. “Implementing transit signal priority in a connected vehicle environment with and without bus stops.” Transportmetrica B: Transport Dynamics7, no. 1 (2019): 423-445.
9. Kaidi Yang, Mireia Roca-Riu*, and Mónica Menéndez. “An auction-based approach for prebooked urban logistics facilities.” Omega89 (2019): 193-211.
10. Haitao, He, Kaidi Yang*, Hong Liang, Monica Menendez, and S. Ilgin Guler. “Providing public transport priority in the perimeter of urban networks: A bimodal strategy.” Transportation Research Part C: Emerging Technologies107 (2019): 171-192.
11. Kaidi Yang*, and Monica Menendez. “Queue estimation in a connected vehicle environment: A convex approach.” IEEE Transactions on Intelligent Transportation Systems20, no. 7 (2019): 2480-2496.
12. Kaidi Yang*, Monica Menendez, and Nan Zheng. “Heterogeneity aware urban traffic control in a connected vehicle environment: A joint framework for congestion pricing and perimeter control.” Transportation Research Part C: Emerging Technologies105 (2019): 439-455.
13. Kaidi Yang, Nan Zheng*, and Monica Menendez. “Multi-scale perimeter control approach in a connected-vehicle environment.” Transportation Research Part C: Emerging Technologies94 (2018): 32-49.
14. Tilg, Gabriel, Kaidi Yang*, and Monica Menendez. “Evaluating the effects of automated vehicle technology on the capacity of freeway weaving sections.” Transportation Research Part C: Emerging Technologies96 (2018): 3-21.
15. Kaidi Yang*, S. Ilgin Guler, and Monica Menendez. “Isolated intersection control for various levels of vehicle technology: Conventional, connected, and automated vehicles.” Transportation Research Part C: Emerging Technologies72 (2016): 109-129.