Bin Xu (PI), binxu@ou.edu, CV, Google Scholar, Research Gate
Research Interests
Theory:
Reinforcement Learning (Warm start to reduce learning time; Adaptability study for continuous learning)
Supervised Learning (Black-box/ Grey-box modeling, rule-extraction from large data to assist real-time control and system development)
Data-Driven Modeling and Control
End-to-end learning
Application:
Connected and Automated Vehicles (CAV) and Advanced Driver Assistance Systems (ADAS) for Vehicle Safety and Energy Saving (Automated Emergency Braking - AEB, Adaptive Cruise Control - ACC, Lane Keeping, Lane Changing, Point to Point Navigation)
Propulsion Electrification for Greenhouse Gas (GHG) emission reduction and Energy Saving
Autonomous vehicles closed course and on-road testing
Grants
DOE Vehicle Technology Office - WIDE: Improving Accessibility and Efficiency of Public Transportation via Optimal Integration with Shared Autonomous Electric Vehicles in Tribal Communities (Co-PI, Research Credit 35%, $3.1 million) (9/2024-8/2027) (Featured in abc 10 news)
DOE Office of Fossil Energy and Carbon Management: A Regional-Scale Showcase of Hybrid Methane Sensing Networks in the Anadarko Basin (Co-PI, Research Credit 10%, $8.49 million) (9/2023-3/2028)
Association of Central Oklahoma Goverment (ACOG) Public Fleet Grant: Boosting Electric Vehicle Charging Capability on University of Oklahoma Norman Campus (Co-PI, Research Credit 40%, $187,333) (2/2024-1/2026)
OU DISC Faculty Seed Funding Award: Integrated Off-Road Long-Range Navigation, Local Path Planning and Following via Fully Automated Cooperation of Vehicle Embedded Autonomous Drones and Ground Vehicles (PI, Research Credit 40%, $12k) (7/2025-6/2026)
OU DISC Faculty Seed Funding Award: Nanocrystalline Transition Metal Oxides for a New Generation of Lithium-Ion Batteries (Co-PI, Research Credit 10%, $10k) (8/2022-7/2023)
Teaching
AME 5970: Dynamics and Control of Autonomous Driving (Fall 2024, 2025);
AME 4442: IC Engine Lab (Spring 2022-present)
AME 2420: Engineering Computing (Fall 2022, 2023, 2025);
Acknowledgements
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