Tianyu Shi
AI Research Lead
I am an AI Research Lead with a Ph.D. in Engineering from the University of Toronto. My research focuses on reinforcement learning, multi-agent systems, and large language model agents, with applications in intelligent transportation, decentralized AI, and generative modeling. I collaborate globally with academia and industry to advance trustworthy and scalable AI. If you are interested in collaboration with me, feel free to send my email below.
Research Interests
- Reinforcement Learning and Decision-Making under Uncertainty
- Multi-Agent Systems and Collaborative Intelligence
- Intelligent Transportation and Mobility Optimization
- Decentralized and Distributed AI Systems
- Generative Modeling and Simulation for Complex Environments
- Robustness, Fairness, and Human-Centric AI
Selected Publications
- Tianyu Shi*, Omar Elsamadisy*, Ilia Smironov, and Baher Abdulhai (2024). "SECRM-2D: RL-Based Efficient and Comfortable Route-Following Autonomous Driving with Analytic Safety Guarantees." IET Intelligent Transport Systems.
- Shi, T., Devailly, F. X., Larocque, D., & Charlin, L. (2024). "Improving the generalizability and robustness of large-scale traffic signal control." IEEE Open Journal of Intelligent Transportation Systems.
- Tianyu Shi, Yifei Ai, Baher Abdulhai (2022). "Bilateral Deep Reinforcement Learning Approach for Better-than-human Car Following Model." IEEE International Conference on Intelligent Transportation (ITSC).
- Shi, T., Wang, P., Cheng, X., Chan, C. Y., & Huang, D. (2019, October). "Driving decision and control for automated lane change behavior based on deep reinforcement learning." IEEE Intelligent Transportation Systems Conference (ITSC), 2895-2900.
- Tianyu Shi*, Jiawei Wang*, Yuankai Wu, Luis Miranda-Moreno, Lijun Sun (2020). "Multi-agent Graph Reinforcement Learning for Connected Automated Driving." International Conference on Machine Learning (ICML).
- Tianyu Shi*, Omar ElSamadisy, Ilia Smirnov, Baher Abdulhai (2023). "Safe, Efficient and Comfortable Reinforcement-Learning-Based Car-Following for AVs with Analytic Safety Guarantee and Dynamic Target Speed." Transportation Research Record.
Education
2021 - 2025
Ph.D. in Engineering
University of Toronto
2020 - 2021
Master of Engineering
McGill University (GPA: 3.8/4.0)
2015 - 2019
Bachelor of Engineering
Beijing Institute of Technology (Rank: 1/66)
Awards
- DiDi Autonomous Driving Graduate Awards (2022–2024)
- Silver Award, Kaggle Google Research – Identify Contrails to Reduce Global Warming (2023)
- Dr. Mazen Hassounah Graduate Scholarship in Mass Events Transportation (2022)
- University of Toronto Fellowship (2022)
- Graduate Merit-Based Entrance Scholarship (2021)
- IVADO Excellence Scholarship, McGill (2020)
- Graduate Excellence Fellowship (GEF), McGill (2020)
- MIIT Scholarship for Scientific Innovation (2019)
- Nomination of Xuteli Scholarship (2018) Media Coverage
- First Prize of the CASC Scholarship (2018)
- SWAT Scholarship (2018)
- First Prize of the Fast Gear Scholarship (2017)
- Grand Prize of Academic Competition of BIT (2017)
- North Industry Scholarship for All-round Development (2016)
- Second Prize, National Undergraduate Mathematical Modeling Contest (2016)
- Second Prize, Undergraduate Physical Experiment Competition of Beijing (2016)