Ph.D. Student · CUHK-Shenzhen
Aoyu Pang
庞奥宇
I work on reinforcement learning for intelligent transportation systems, with a focus on traffic signal control, urban air mobility, and decision-making systems that can operate reliably in complex cities.
Research Focus
Reinforcement Learning
Designing adaptive policies for transportation control and mobility operations under uncertainty.
Intelligent Transportation Systems
Improving traffic signal control, network coordination, and data-driven urban mobility management.
Urban Air Mobility
Studying air-taxi operations, vertiport selection, and integrated air-ground mobility services.
Selected Work
Large models and RL for transportation decisions
My recent work explores how large language models can improve reinforcement-learning-based traffic signal control when observations are incomplete, noisy, or affected by rare events.
Education
The Chinese University of Hong Kong, Shenzhen
Nanjing University of Aeronautics and Astronautics