Lin Qingfeng obtained his Master's and PhD from Jilin University, completed his postdoctoral fellowship at Tsinghua University, and was a visiting scholar at the University of Michigan. Since June 2008, he has been a lecturer, associate professor, and master's supervisor at the School of Transportation Science and Engineering, Beihang University.

His research focuses on autonomous vehicle decision-making and control, human-machine interaction in intelligent vehicles, driving behavior and traffic safety, and the development of automotive/flight simulation equipment. He has led and participated in numerous national, provincial, and ministerial-level scientific research projects, as well as corporate horizontal projects. He has published over 30 academic papers indexed by EI/SCI in important domestic and international journals and conferences in his field, such as the "China Journal of Highway and Transport", "Automotive Engineering", and AAP, IEEE TVT, IEEE ITSM, among others. He has also edited four textbooks/monographs. He has received awards such as the Fifth China Association for Science and Technology Excellent Science and Technology Paper Award, and has guided undergraduate and graduate students to win rewards in domestic and international science and technology competitions on multiple occasions.

He has led the development of a series of devices, including the first domestic driving simulation cluster system (multi-user driving simulation system), the world's first truck driving simulation cluster system (multi-user truck driving simulation system), the world's first research-oriented dual-purpose truck and car driving simulator with rapid switching capabilities, and the first domestic research-oriented pedestrian/bicycle simulator. The equipment above has realized full domestication of software and hardware, broken the monopoly of similar foreign devices in this field, and been applied in enterprises and universities (including Project 985 and Project 211 universities). Its successful development is of great significance for promoting the progress and development of road traffic safety technology in China. (For more information, please follow the WeChat video account and Bilibili account: Traffic Metaverse).