Areas of Research
- Artificial intelligence (machine learning) based predictive analytics
- Cybersecurity and Privacy for Connected and Automated Mobility
- Driver Behavior Modeling for Automated Vehicles
- Heterogeneous Wireless Communication
- Transportation Cyber-Physical Systems for Smart Cities
His primary research interests are transportation cyber-physical systems for smart cities, cybersecurity and privacy for connected and automated mobility, artificial intelligence (machine learning) based predictive analytics, distributed transportation digital infrastructure, driver behavior modeling for connected and automated vehicles, traffic flow theory, big data analytics, cloud computing, and heterogeneous wireless communication (HetNet).
Research Interests
- Cyber-Physical Systems for Connected and Autonomous Vehicles
- Cyber-Physical Systems for Smart Cities
- Traffic Flow Theory
- Data Analytics for Connected Transportation Systems
- Artificial Intelligence for Connected and Autonomous Vehicle Applications
- Adaptive Traffic Signals’ Control and Technologies
- Human Centered Simulation
- Traffic Simulation
- Traffic Planning and Traffic Operations
His research focuses on enabling emerging connected vehicle applications through a cyber-physical system platform and data analytics for a sustainable transportation system.
