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Mr. Shengkun Liao | Vehicle Engineering | Best Researcher Award

Tianjin University of Technology and Education | China

Shengkun Liao is a dynamic researcher and educator specializing in intelligent vehicle systems and new energy vehicle technologies at the School of Automobile and Transportation, Tianjin University of Technology and Education. With a Master of Engineering in Vehicle Engineering and prior experience as an Assistant Lecturer, his expertise spans VCU development, ROS platforms, Raspberry Pi systems, and intelligent optimization algorithms. He has authored influential publications on regenerative braking systems and EV charging modules and presented at prestigious academic forums. Liao has earned multiple national and university-level honors, including the Outstanding Excellence Award in the BRICS AI Competition. His teaching and research emphasize practical applications, innovation, and smart mobility solutions. As a programmer fluent in C/C++, Python, and MATLAB, and proficient in tools like CarSim, Enovation, and Simulink, he contributes extensively to the field of smart transportation and automotive intelligence.

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Education 

Shengkun Liao pursued his Master of Engineering in Vehicle Engineering at Tianjin University of Technology and Education, where he consistently demonstrated academic excellence and received the First-Class Scholarship. His education was rooted in automotive systems, new energy technologies, and intelligent algorithm applications. Through rigorous coursework and hands-on training, he developed proficiency in VCU systems, energy recovery systems, ROS platforms, and intelligent computing using Raspberry Pi and YOLO models. His academic background laid a solid foundation in vehicle modeling, signal processing, optimization algorithms, and embedded system design, making him well-equipped for advanced research and development in autonomous and energy-efficient vehicles. His strong commitment to research and practical applications enabled him to publish high-quality papers and participate in major innovation competitions, further highlighting the technical and academic depth of his education.

Experience 

Shengkun Liao served as an Assistant Lecturer at Guangdong Huaxia Senior Technical School, where he taught vehicle engineering with a focus on automotive electronics and new energy vehicle technologies. He mentored students on intelligent systems and regenerative energy recovery, emphasizing real-world automotive applications. Liao also led the development of curriculum modules for hands-on training in VCU (Vehicle Control Unit) development and intelligent vehicle control. He coordinated lab-based projects using Raspberry Pi and microcontroller systems, cultivating student innovation in energy efficiency and autonomous mobility. His teaching style blended theoretical understanding with cutting-edge practical exposure, aligning academic delivery with industry needs. Through these roles, Liao demonstrated strong leadership in academic planning, student mentorship, and experimental learning, laying a firm foundation for his transition into research-focused roles within higher education and automotive system optimization.

Awards and Honors

Shengkun Liao has received numerous accolades recognizing his innovation and research excellence. Notably, he earned the Outstanding Excellence Award at the BRICS “AI + Large Model Track” Competition in 2024, reflecting his contributions to intelligent algorithm development. At the national level, he was awarded the Bronze Award in the Challenge Cup National Competition in 2024. At the university level, he secured two Gold Awards in 2025: one in the College Students’ Innovation and Entrepreneurship Competition and another in the Technology Invention and Innovation Competition. These honors highlight his capability in both theoretical and applied research. Furthermore, he received the First-Class Scholarship from Tianjin University of Technology and Education in 2023–2024 for his academic excellence. Collectively, these awards reflect his dedication to innovation, technical problem-solving, and academic leadership in the fields of intelligent vehicles and energy-efficient systems.

Research Focus

Shengkun Liao’s research focuses on energy recovery systems for new energy vehicles, VCU (Vehicle Control Unit) development, and optimization algorithms for smart automotive applications. His primary interest lies in enhancing energy efficiency in electric vehicles through intelligent braking and energy conversion techniques. He employs hybrid algorithms such as SA-PSO and integrates YOLO models for object detection in autonomous navigation. Liao’s work also leverages Raspberry Pi and ROS (Robot Operating System) platforms to simulate real-time vehicle control and system responses. He actively explores multi-domain vehicle simulation and optimization strategies using MATLAB/Simulink and CarSim. His academic presentations and published studies emphasize intelligent system integration and practical algorithm deployment. By combining mechanical engineering with artificial intelligence and embedded system design, Liao aims to revolutionize EV performance, safety, and sustainability. His work contributes to the future of intelligent transportation and smart urban mobility solutions.

Publication

Title: Optimization of a Navigation System for Autonomous Charging of Intelligent Vehicles Based on the Bidirectional A* Algorithm and YOLOv11n Model
Year: 2025

Conclusion

Shengkun Liao is a dedicated and technically skilled researcher whose work is highly relevant to the future of intelligent and sustainable transportation systems. His contributions to energy recovery systems and intelligent vehicle technologies, supported by solid technical expertise and national-level recognition, make him a suitable and competitive candidate for the Best Researcher Award. As an early-career academic with award-winning innovation and focused research, he exemplifies the qualities of a forward-looking researcher. With further advancement in high-impact publishing and international collaboration, Shengkun is well-positioned to become a leading figure in the evolving landscape of smart mobility and vehicle intelligence.

Shengkun Liao | Vehicle Engineering | Best Researcher Award

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