College of automotive Engineering at Jilin University, China
Professor Sun Tiejun is a distinguished researcher specializing in vehicle engineering, artificial intelligence, and automotive control systems. He is affiliated with Jilin University and has contributed significantly to the field of autonomous vehicle control, intelligent decision-making, and hybrid electric vehicle optimization.
Publication Profileย
Scopus
Educational Background ๐
- Harbin University of Science and Technology
- Bachelor’s Degree in Electronic Information Science and Technology
- Bachelor’s Degree in Control Engineering
- Jilin University
- Doctorate in Vehicle Engineering
- Postdoctoral Research:
- College of Automotive Engineering, Jilin University
Professional Experience ๐ผ
- State Key Laboratory of Automotive Simulation and Control, Jilin University
- National Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University
- Equipment Industry Development Center, Ministry of Industry and Information Technology
- Senior Member, SAE (Society of Automotive Engineers)
- High-level D Talents of Jilin Province
Research Interests ๐ฌ
- Autonomous Vehicle Control
- Human-like mechanism deep learning models for motion control
- Brain-inspired decision-making for intelligent car-following
- Artificial Intelligence in Automotive Engineering
- Application of AI in vehicle motion prediction and decision-making
- Hybrid Electric Vehicle Optimization
- Data-driven control strategies for plug-in hybrid vehicles
- Bionic Engineering & Robotics
- Integration of basal ganglia-inspired neural networks into vehicle control
Awards and Honors๐โจ
- SAE Senior Member โ Recognized for contributions to the automotive engineering community.
- High-level D Talent of Jilin Province โ Acknowledged for outstanding expertise in automotive technology.
- Key Researcher at National Laboratories โ Integral to advancements in automotive simulation and chassis integration.
Conclusion๐
Professor Sun Tiejun is a leading expert in vehicle engineering, particularly in AI-driven decision-making and motion control for autonomous and hybrid vehicles. His interdisciplinary research blends artificial intelligence, control engineering, and bionic mechanisms to enhance the efficiency and safety of next-generation transportation systems. His work has been recognized in prestigious journals, and he continues to make significant contributions to automotive engineering.
Publications ๐
๐ Article
๐ Trajectory Tracking Control Method for Autonomous Vehicles Considering Time-Varying Reference and Steering Delay
๐จโ๐ฌ Authors: Z. Yang, Zhengcai; H. Zhang, Huiquan; L. Ge, Linhe; T. Sun, Tianjun
๐ Journal: Qiche Gongcheng/Automotive Engineering, 2025
๐ข Citations: 0
๐ Article
๐ค Human-like Mechanism Deep Learning Model for Longitudinal Motion Control of Autonomous Vehicles
๐จโ๐ฌ Authors: Z. Gao, Zhenhai; T. Yu, Tong; F. Gao, Fei; R. Zhao, Rui; T. Sun, Tianjun
๐ Journal: Engineering Applications of Artificial Intelligence, 2024
๐ข Citations: 2