Tianjun Sun | Big Data Analytics | Best Researcher Award

Published on by Innovation Technologist

Assoc. Prof. Dr. Tianjun Sun | Big Data Analytics | Best Researcher Award

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 Profile 

Scopus

Educational Background 🎓

  • 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 💼

  • 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 🔬

  • 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 Honors🏆✨

  • SAE Senior Member – Recognized for contributions to the automotive engineering community.
  • High-level D Talent of Jilin Province – Acknowledged for outstanding expertise in automotive technology.
  • Key Researcher at National Laboratories – Integral to advancements in automotive simulation and chassis integration.

Conclusion🌟

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 📚

📄 Article
🚗 Trajectory Tracking Control Method for Autonomous Vehicles Considering Time-Varying Reference and Steering Delay
👨‍🔬 Authors: Z. Yang, Zhengcai; H. Zhang, Huiquan; L. Ge, Linhe; T. Sun, Tianjun
📖 Journal: Qiche Gongcheng/Automotive Engineering, 2025
🔢 Citations: 0

📄 Article
🤖 Human-like Mechanism Deep Learning Model for Longitudinal Motion Control of Autonomous Vehicles
👨‍🔬 Authors: Z. Gao, Zhenhai; T. Yu, Tong; F. Gao, Fei; R. Zhao, Rui; T. Sun, Tianjun
📖 Journal: Engineering Applications of Artificial Intelligence, 2024
🔢 Citations: 2

 

 

 

Mengya Li | Technology Innovation | Best Researcher Award

Published on by Innovation Technologist

Assoc. Prof. Dr. Mengya Li | Technology Innovation | Best Researcher Award

Associate Research Fellow at Sichuan University, China

Dr. Mengya Li is an accomplished academic and researcher, currently serving as an Associate Professor at Sichuan University. With a robust background in economics and finance, she has published extensively on topics related to technology incubation, enterprise innovation, and venture capital. Her recent research explores how technology platforms foster breakthrough innovations and how income inequality may influence social phenomena like marriage. Dr. Li is a recognized leader in her field, with numerous honors, including the Young Elite Scientists Sponsorship Program by the China Association for Science and Technology in 2023 and the Sichuan Province High-level Talent Plan in 2024.

Her work has received support from prestigious funding sources such as the National Natural Science Foundation of China and the Sichuan Natural Science Foundation Project. Dr. Li is also active in service roles, including as a Standing Director of the Technology Incubation and Innovation Ecology Branch of the Chinese Society of Technology Economics and a Director of the Women Science and Technology Workers Committee. 🌱

Publication Profile : 

Scopus

Orcid

Educational Background 🎓

Mengya Li holds a Ph.D. in Economics (2019) from Chongqing University. She also earned her M.A. in Finance (2016) and B.A. in Economics (2014) from the same institution. Her solid educational foundation has paved the way for her extensive academic and professional career.

Professional Experience 💼

Dr. Mengya Li began her academic journey as an Assistant Professor at the School of Economics and Management at Tsinghua University (2020-2022). She currently serves as an Associate Professor at the Business School of Sichuan University since 2022. Her expertise lies in technology incubation, enterprise innovation, and venture capital, making her a prominent figure in the field of economic management and innovation studies.

Research Interests 🔬

Her research primarily focuses on technology incubation, enterprise innovation management, and venture capital. Dr. Li investigates how technological platforms, innovation ecosystems, and venture capital influence the performance and growth of entrepreneurial enterprises, with a particular interest in the impact of regional institutional environments on innovation and enterprise performance.

Publications 📚

  1. Zheng, Y., Zhou, B., Hao, C., Gao, R., & Li, M.* (2024). Evolutionary game analysis on the cross-organizational cooperative R&D strategy of general purpose technologies under two-way collaboration. Technology in Society, 76, 102473.
  2. Song, Z., Cheng, Z., & Li, M.* (2024). Does income inequality restrain marriage? A longitudinal study from the 35 large and medium-sized cities of China. Cities, 152, 105200.
  3. Zou, J., Li, M.*, & Yang, D. (2024). Cold start and hot feedback: A knowledge sharing and governance model considering individual willingness from the perspective of prospect theory. Journal of Knowledge Management, Published online.
  4. Li, M., Yang, D.*, Zou, J., Hao, C., & Li, H. (2024). Research on enabling mechanism of technology platform enterprises to breakthrough key and core technologies of entrepreneurial enterprise clusters. Journal of Management Science, 37(2), 3-20.
  5. Li, M., Song, Z., & Hao, C. (2024). Research on the influence of technological alliance on entrepreneurial enterprise performance. Studies in Science of Science, 42(11), 2397-2408.
  6. Li, M., Zhang, Y., Yang, D., Hu, X., & Zhang, J. (2023). How does the incubation platform internal network improve entrepreneurial performance? A case study based on the dual perspective of resources and learning. Management Review, 35(9), 324-336.
  7. Li, M., Yang, D.*, Hu, X., & Zhang, J. (2022). How does the incubation platform realize resource co-development in the context of the internal network? Journal of Management World, 38(2), 169-187+11.
  8. Li, M., Yang, D., & Wang, Y. (2022). Value creation process of technology entrepreneurship incubation platform: A multi-case study. R&D Management, 34(2), 134-148.
  9. Li, M., Yan, T., & Hao, C. (2021). Venture capital, innovation output quality and enterprise performance: Based on the adjustment role of regional institutional environment. Science Research Management, 42(8), 168-175.
  10. Li, M., Yan, T., & Hao, C. (2021). Venture capital and internationalization of enterprise R&D: A study of China’s GEM listed companies. Science Research Management, 42(6), 1-8.