Artificial Intelligence and Machine Learning (AI/ML)
Research
Research Areas
Control Theory
Internet of Things (IoT)
Human Factors
Selected Publications
Graph neural network and reinforcement learning for multi-agent cooperative control of connected autonomous vehicles
Computer-Aided Civil and Infrastructure Engineering, 2021[HTML]
Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment
Transportation Research Part C: Emerging Technologies, 2021[HTML]
A deep learning algorithm for simulating autonomous driving considering prior knowledge and temporal information
Computer-Aided Civil and Infrastructure Engineering, 2020[HTML]
Spatio-weighted information fusion and DRL-based control for connected autonomous vehicles
IEEE International Conference on Intelligent Transportation Systems (ITSC), 2020[HTML]
Vehicle Connectivity and Automation: A Sibling Relationship
Frontiers in Built Environment, 2020[HTML]
Leveraging the capabilities of connected and autonomous vehicles and multi-agent reinforcement learning to mitigate highway bottleneck congestion
Under review: Transportation Research Part C[HTML]
Collision Avoidance Framework for Autonomous Vehicles under Crash Imminent Situations
Master Thesis, Purdue University – West Lafayette, 2020[HTML]
Using Empirical Trajectory Data to Design Connected Autonomous Vehicle Controllers for Traffic Stabilization
Under review: Transportation Research Part C[HTML]