๐ Hi, Iโm Aoyu Pang (ๅบๅฅฅๅฎ), a Ph.D. student in the School of Data Science at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen).
My research focuses on Reinforcement Learning, Intelligent Transportation Systems (ITS), and Urban Air Mobility (UAM).
I aim to develop intelligent decision-making frameworks that integrate autonomous vehicles, air taxis, and traffic signal control for future smart cities.
๐ Education
Ph.D. in Computer and Information Engineering, The Chinese University of Hong Kong, Shenzhen
2023 โ PresentB.Eng. in Automatization, Nanjing University of Aeronautics and Astronautics (NUAA)
2019 โ 2023
๐ฌ Research Interests
- Reinforcement Learning (RL)
- Intelligent Transportation Systems (ITS)
- Urban Air Mobility (UAM)
- Large Foundation Models for Transportation
- Multi-Agent Coordination and Decision Making
๐ Selected Projects
- Optimizing Vertiport Selection for On-Demand Air-Taxi Services: A Deep Reinforcement Learning Approach
Developed a DRL-based model to minimize total travel time in urban air mobility systems. - Towards World Model-Level Traffic Signal Control
Integrating foundation models into RL-based traffic signal control for real-world adaptability.
๐ฌ Contact
- Email: aoyupang@link.cuhk.edu.cn
- GitHub: https://github.com/pangay
- LinkedIn: linkedin.com/in/aoyupang
โThe future of mobility lies in the seamless integration of air and ground intelligence.โ
