Professor | Hefei University of Technology | China
Prof. Hongbo Wang is a distinguished scholar whose work in intelligent vehicle dynamics and control has shaped both academic research and industrial applications, consistently advancing methodologies in vehicle motion modeling, intelligent control algorithms, and automated driving technologies. With extensive experience leading more than forty national, provincial, and municipal projects, his professional contributions span high-impact investigations into off-road vehicle technology, autonomous driving stability, integrated chassis control, and intelligent mobility systems. His research interests focus on vehicle dynamic behavior analysis, intelligent control strategies, computational modeling, and multi-source information fusion for advanced driving systems, supported by strong research skills in algorithm development, real-time system implementation, experimental platform construction, and interdisciplinary engineering integration. His portfolio of scientific achievements includes more than one hundred academic publications, thirty authorized invention patents, six software copyrights, participation in two provincial standard developments, and the publication of two influential monographs, positioning him as a leading contributor to the field’s evolution. His professional experience is complemented by service roles such as External Expert of the Off-Road Vehicle Technology Branch of the Chinese Society of Automotive Engineers, Member of the Vehicle Control and Intelligentization Technical Committee of the Chinese Association of Automation, and Director of the Anhui Society of Automotive Engineers, reflecting broad recognition across national organizations. His awards include the First Prize of the Science and Technology Award of the Chinese Society of Automotive Engineers, the Second Prize of the Machinery Industry Technology Invention Award, and multiple Anhui Provincial Teaching Achievement Awards, underscoring excellence in both research innovation and educational leadership. Overall, his career demonstrates a sustained commitment to advancing intelligent automotive technologies and fostering academic growth in the engineering community. He has achieved 532 Citations, 63 Documents , 12 h-index.
1. Wang, H., et al. (2025). Multi-objective parallel human–machine steering coordination control strategy of intelligent vehicles path tracking based on deep reinforcement learning. Chinese Journal of Mechanical Engineering (English Edition).
2. Wang, H., et al. (2025). Trajectory tracking multi-constraint model predictive control of unmanned vehicles based on sideslip stiffness estimation with XGBoost algorithm. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.
3. Wang, H., et al. (2025). Yaw stability control of tractor vehicle based on nonsingular fast terminal sliding mode. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.
4. Wang, H., et al. (2025). Intelligent vehicle path tracking coordinated optimization based on dual-steering cooperative game with fault-tolerant function. Applied Mathematical Modelling.
5. Wang, H., et al. (2025). Identification of intrusion obstacles for underground locomotives based on the fusion of LiDAR and wireless positioning technology. International Journal of Vehicle Performance.
Professor Hongbo Wang’s research advances intelligent vehicle control by integrating reinforcement learning, predictive modeling, and human–machine cooperation to enhance safety, stability, and autonomy. His work contributes directly to next-generation intelligent transportation systems, improves industrial vehicle technologies, and supports global innovation in automated mobility.