Dr. Yufeng Du | Automotive and Transportation | Best Researcher Award
Ph.D. Researcher, Hefei University of Technology, China
Dr. Yufeng Du is a Ph.D. researcher at Hefei University of Technology, China, specializing in intelligent new energy vehicles (INEV), transportation systems, and automotive cybersecurity, where he integrates advanced research with practical industrial applications to support regional INEV cluster development. He earned his Ph.D. in Engineering from Hefei University of Technology, focusing on intelligent transportation systems and multi-criteria decision-making methodologies (AHP/Delphi) for strategic planning and technology road-mapping. His primary research interests include automotive cybersecurity, with emphasis on CAN/Ethernet intrusion detection systems, V2X cooperative vehicle networks, and intelligent vehicle strategy and policy; emerging areas include deep learning and transformer-based models for autonomous vehicle perception and lane detection. Dr. Yufeng Du has collaborated with major automotive OEMs and agencies, including Chery, JAC, NIO, and Chongqing Chang’an Automobile Co., Ltd., leading applied projects such as adaptive security protection for in-vehicle networks using quantum random-number chips and strategic planning for Anhui Province’s intelligent automobile industry. His key contributions include developing the integrated “One Core, Two Wings, One Base” decision framework for high-quality INEV development, translating research into actionable policy recommendations, updating regional datasets (2018–2024), supporting industry collaborations, export growth, infrastructure planning, and risk mitigation, thereby bridging theoretical innovation with industrial impact. He has been recognized through peer-reviewed publications, influential industry consultancy projects, and editorial contributions as an ad hoc reviewer for IEEE Transactions on Vehicular Technology. Dr. Yufeng Du actively engages with scientific societies and professional networks, fostering collaboration between academia and industry. His work advances automotive safety, cybersecurity, and sustainable transportation strategies, with tangible benefits for society, industry, and regional development. Author metrics: 10 Documents, 68 Citations, 5 h-index. Dr. Yufeng Du’s expertise, international collaborations, and translational research position him to continue leading impactful innovation in intelligent transportation and automotive cybersecurity globally, making him a highly deserving candidate for recognition and awards.
Featured Publications
1. Shi, Q., Du, Y., Qiao, Y., Ren, L., Cheng, T., Gu, X., Xu, C., Huang, J., & Ye, S. (2025). Optimizing strategies for the high-quality development of intelligent new energy vehicles: A case study of Anhui Province. Sustainable Futures, 10, 101362.
2. Du, Y., Zhang, R., Shi, P., Zhao, L., Zhang, B., & Liu, Y. (2024). ST-LaneNet: Lane line detection method based on Swin Transformer and LaneNet. Chinese Journal of Mechanical Engineering, 37, 14.
3. Zhang, R., Du, Y., Shi, P., Zhao, L., Liu, Y., & Li, H. (2023). ST-MAE: Robust lane detection in continuous multi-frame driving scenes based on a deep hybrid network. Complex & Intelligent Systems, 9, 4837–4855.