Xun Gong
Scholar

Xun Gong

Google Scholar ID: gpY6lCcAAAAJ
Associate Professor, Jilin University
Connected Vehicle ControlDriver Modeling
Citations & Impact
All-time
Citations
1,178
 
H-index
17
 
i10-index
28
 
Publications
20
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • - Publications: Over 80 peer-reviewed journal and conference papers in the broader area of control, AI, and applications to advanced automotive systems
  • - Awards: Best Paper Award at IEEE DDCLS, 2025
  • - Projects: National Science Foundation China (NSFC) funded project on 'Energy Graph-based Power and Thermal Coordinated Predictive Control of Connected Eletrified Vehicles with Enhanced Performance', 2026-2029; Huawei-funded project on 'Physics-data hybrid modeling of vehicle dynamics', 2022; FAW-funded project on 'intelligent anomaly detection of high sulphur fuel', 2022
Research Experience
  • - Tenured Associate Professor, School of Artificial Intelligence, Jilin University
  • - Postdoctoral Research Fellow, University of Michigan, Ann Arbor, August 2016 to October 2018
  • - Graduate Research Assistant, State Key Lab of Automotive Control and Simulation, 2010-2016
Education
  • - Ph.D., Jilin University, Control Theory and Control Engineering, 2016, Advisor: Prof. Hong Chen (IEEE Fellow/CAA Fellow)
  • - Postdoctoral Research Fellow, University of Michigan, Ann Arbor, August 2016 to October 2018, Advisors: Prof. Ilya Kolmanovsky (IEEE Fellow/IFAC Fellow/NAI Fellow) and Prof. Jing Sun (IEEE Fellow)
  • - Joint Ph.D. student, University of Michigan, Ann Arbor
  • - B.S., Northeast Electric Power University, Electrical Engineering, 2010
Background
  • Research Interests: Energy Efficiency Optimization of Connected and Automated Vehicles (CAVs), Human Driver Behavior Modeling towards Evaluation of CAV performance under different penetration rate, Human-in-the-Loop of CAV control, Machine Learning and Intelligent Traffic Applications, Embodied AI. Professional Field: Control Theory and Control Engineering.
Miscellany
  • Plans to recruit 3 Master students and 1 Ph.D. student each year.