Xun Gong | Energy Saving | AI Breakthrough Award

Published on by Awards and Recognitions

Assoc. Prof. Dr. Xun Gong | Energy Saving | AI Breakthrough Award

Assoc. Prof. Dr. Xun Gong | Energy Saving | Professor at Jilin University | China

Assoc. Prof. Dr. Xun Gong is a recognized scholar in the field of automotive systems, intelligent transportation, and advanced control engineering. His work integrates innovative control strategies with emerging automotive technologies to enhance efficiency, safety, and sustainability. With strong contributions in connected vehicle control, driver modeling, and energy optimization for hybrid and electric vehicles, he has become a respected academic and collaborator in international research circles. His publications and research outcomes have been widely cited, reflecting his influence across both academic and industrial domains.

Academic Profile:

Scopus

Google Scholar

Education:

Assoc. Prof. Dr. Xun Gong completed his doctoral studies in control engineering, establishing a strong academic foundation that led to his current research expertise. His advanced education has equipped him with the knowledge and analytical skills to address pressing challenges in automotive and control systems. His academic training was reinforced through collaborations with top universities and research centers, enabling him to contribute to multi-institutional projects at the forefront of engineering research.

Experience:

With significant teaching and research experience at Jilin University, Assoc. Prof. Dr. Xun Gong has guided students, researchers, and collaborators in innovative engineering practices. His academic career has been marked by active involvement in cross-disciplinary projects, where he has worked closely with international partners from leading universities and research organizations. Beyond teaching, he has participated in industry-focused initiatives, ensuring the translation of academic research into real-world applications. His professional journey demonstrates a balance of academic rigor, industrial collaboration, and mentorship in the field of engineering.

Research Interest:

The research interests of Assoc. Prof. Dr. Xun Gong encompass intelligent transportation systems, predictive modeling, and advanced automotive control. His work focuses on vehicle stability, energy management, and eco-trajectory planning to enhance the performance of hybrid and electric vehicles. He is also deeply engaged in connected vehicle technologies, emphasizing driver modeling and integrated optimization strategies that improve safety and sustainability. Through these efforts, he contributes to shaping the future of mobility in the intelligent era, bridging theoretical research with practical applications.

Award:

Assoc. Prof. Dr. Xun Gong has been recognized for his contributions to engineering research through academic awards and professional honors. His leadership in automotive control and predictive modeling has earned acknowledgment within the scholarly community. He continues to demonstrate excellence through high-impact publications, international collaborations, and his service to professional organizations such as IEEE, where he actively contributes to advancing global engineering knowledge.

Selected Publication:

  • Fast nonlinear model predictive control on FPGA using particle swarm optimization, published in 2015, has received 175 citations and is widely referenced in the control engineering community.

  • Cabin and battery thermal management of connected and automated HEVs for improved energy efficiency using hierarchical model predictive control, published in 2019, has been cited 166 times and represents a major advance in sustainable vehicle technology.

  • Vehicle velocity prediction and energy management strategy part 1: Deterministic and stochastic vehicle velocity prediction using machine learning, published in 2019, has gathered 125 citations and reflects his expertise in integrating machine learning with automotive systems.

  • Integrated longitudinal and lateral vehicle stability control for extreme conditions with safety dynamic requirements analysis, published in 2022, has gained 77 citations and highlights his work on vehicle safety and control.

Conclusion:

In summary, Assoc. Prof. Dr. Xun Gong is an accomplished researcher whose career exemplifies academic excellence, international collaboration, and meaningful contributions to automotive and control systems. His innovative research has advanced the fields of intelligent transportation, predictive control, and sustainable energy management, bridging the gap between theoretical knowledge and industrial application. His strong publication record, professional recognition, and leadership in collaborative projects underscore his suitability for this award. With continued commitment to advancing research and mentoring the next generation of engineers, he is positioned to make further impactful contributions to science, industry, and society.