Assoc. Prof. Dr Zhonghe He, North China University of Technology, China
Dr. He Zhonghe is an Associate Professor and postgraduate supervisor with extensive expertise in urban traffic management and control. His research interests focus on urban road traffic state estimation, traffic network modeling and signal control, multi-mode traffic operation evaluation, and public transport vehicle risk monitoring. Dr. He has led 15 projects funded by the National Natural Science Foundation, the National Key Research and Development Plan, and various enterprises, contributing to key innovations in road network balance control, state estimation from traffic data, and video monitoring of public transport. Notably, he developed a traffic signal control system based on an information physical system, enabling closed-loop control from perception to execution. He also pioneered a bus vehicle video monitoring system for identifying and warning abnormal behavior among drivers and passengers, and a vehicle terminal system for remote risk monitoring. His research outcomes have been successfully applied in cities like Beijing, Shandong, Yunnan, and Xinjiang. Dr. He has received four science and technology progress awards, published over 40 papers in SCI/EI journals and conferences, and contributed to a monograph on his field.
Professional Profile:
ORCID
SCOPUS
Suitability for Best Researcher Award: He Zhonghe
Dr. He Zhonghe is highly qualified and an excellent candidate for the Best Researcher Award, as demonstrated by his extensive contributions to the field of urban traffic management and public transport monitoring. Below is a summary of his key accomplishments and attributes that support his suitability for this prestigious award.
Education:
- Ph.D. in a relevant field (details of institution and specific area of study are not provided in the original description).
Work Experience:
- Associate Professor at [Institution Name] (specific university details not provided), where he has been actively involved in research and postgraduate supervision. His academic work focuses on urban traffic state estimation, traffic network modeling, signal control, and public transport vehicle risk monitoring, among other topics.
- He has led and contributed to 15 national and regional research projects, including those funded by the National Natural Science Foundation, the National Key Research and Development Plan, the Beijing Municipal Education Commission, and various enterprises. These projects have led to significant technological innovations and theoretical advancements in traffic management, such as the development of balanced control strategies for road networks and the creation of video monitoring systems for public transport.
Publication top Notes:
Research on Traffic Marking Segmentation Detection Algorithm Based on Feature Fusion
Research on Attack Detection for Traffic Signal Systems Based on Game Theory and Generative Adversarial Networks
Lane Attribute Classification Based on Fine-Grained Description