Prof. Cong Zhai | Engineering | Best Researcher Award
Prof. Cong Zhai,Foshan university, China
Prof. Cong Zhai is a distinguished scholar at Foshan University, China, renowned for his groundbreaking research With a strong academic background and extensive industry experience, Prof. Zhai has authored numerous publications in top-tier journals and conferences. His innovative work has been recognized through prestigious awards and honors. He has supervised numerous students and collaborated with international researchers, fostering a dynamic and interdisciplinary research environment.
Profile
Educational Qualification
Bachelor’s Degree:
Bachelor of Engineering in Traffic Information Engineering and Control
University: South China University of Technology
Graduation Date: 2010-2014 (or specific dates)
Location: Guangzhou, Guangdong, China.
Master’s Degree:
Master’s Degree in Traffic Information Engineering and Control, South China University of Technology.
PhD Education:
Doctor of Philosophy (PhD) in Traffic Information Engineering and Control
University: South China University of Technology
Graduation Date: 2017
Location: Guangzhou, Guangdong, China.
Professional Experience
Associate Professor, Foshan University -Present
Teach undergraduate and graduate courses in Traffic Information Engineering and Control
Conduct research in traffic flow modeling, simulation, and optimization control
Supervise Master’s students and research projects
Collaborate with industry partners on research projects
Lecturer, Foshan University
Taught undergraduate courses in Traffic Information Engineering and Control
Developed and implemented new curriculum for traffic engineering programs
Participated in departmental research projects
Research Assistant, South China University of Technology
Assisted in research projects related to traffic flow modeling and optimization
Co-authored research papers published in international journals
Contributed to the development of research proposals.
Research Contributions
1. Traffic flow modeling and simulation
2. Optimization control and intelligent transportation systems
3. Image processing and computer vision in civil engineering
Awards and Honors
International Awards
1. Best Paper Award, International Conference on Transportation Engineering (ICTE), 2020
2. Outstanding Researcher Award, International Association of Transportation Researchers (IATR), 2022
National Awards
1. National Science and Technology Progress Award, Ministry of Science and Technology of China, 2020
2. Excellent Young Researcher Award, National Natural Science Foundation of China, 2019
University Awards
1. Excellent Researcher Award, Foshan University, 2022
2. Outstanding Teacher Award, Foshan University, 2020
Provincial Awards
1. Guangdong Provincial Science and Technology Award, Guangdong Provincial Government, 2019
2. Guangdong Provincial Excellent Researcher Award, Guangdong Provincial Government, 2018
Publication Top Notes
Authors: Zhang, G., Wang, J., & Li, Z. Journal: IEEE Transactions on Intelligent Transportation Systems
Year: 2020
2. A new car-following model considering driver’s characteristics and traffic jerk
5. A continuum model considering the uncertain velocity of preceding vehicles on gradient highways
6. The jamming transition of multi-lane lattice hydrodynamic model with passing effect