Prof. Jiantao Shi | Control | Best Researcher Award 

Prof. Jiantao Shi is a professor at Nanjing Tech University, specializing in cooperative control of multi-robot systems, fault diagnosis in distributed systems, and learning-based control of UAVs. He holds engineering degrees from Beijing Institute of Technology and Tsinghua University. Prior to his current role, he worked as a research fellow at the Nanjing Research Institute of Electronic Technology. Prof. Shi has published over 60 papers in leading journals such as IEEE Transactions on Cybernetics and SCIENCE CHINA Information Sciences. He actively serves as a reviewer and editor for top international journals and conferences and was recognized as an outstanding reviewer by the Journal of the Franklin Institute.

Prof. Jiantao Shi | Nanjing Tech University | China

Profile

SCOPUS

ORCID ID

🎓Education

  • Prof. Jiantao Shi completed his undergraduate studies in Electrical Engineering and Automation at the Beijing Institute of Technology, where he earned a Bachelor’s Degree in Engineering. He later pursued doctoral studies at Tsinghua University in the field of Control Science and Engineering, where he was awarded a Doctoral Degree in Engineering. His academic training at two of China’s top institutions has laid a strong foundation for his expertise in automation and intelligent systems.

👨‍🏫 Experience

  • Prof. Shi began his professional career at the Nanjing Research Institute of Electronic Technology, where he worked at the Key Laboratory of Intellisense Technology. He initially held the position of Associate Research Fellow before being promoted to Research Fellow. Following his tenure there, he joined Nanjing Tech University as a Professor, where he continues to contribute to research and academic development in the field of intelligent control and automation.

🤝 Awards and Recognition

  • Prof. Jiantao Shi has earned recognition for his outstanding contributions to control science and engineering. Notably, he was honored as an Outstanding Reviewer by the Journal of the Franklin Institute, reflecting his commitment to academic excellence and peer review. His editorial and reviewing efforts for over 20 international journals and conferences—including Automatica, IEEE Transactions, and SCIENCE CHINA Information Sciences—demonstrate his leadership in the research community. His invited roles as guest editor and editorial board member for prestigious journals and conferences further highlight his professional influence and recognition in the fields of automation, robotics, and intelligent systems.

💡Skills and Certifications

  • With strong expertise in multi-agent systems, control engineering, and intelligent sensing, Prof. Shi has established himself as a skilled researcher and academic leader. His technical strengths include system modeling, learning-based control, fault detection algorithms, and collaborative robotics. His contributions have been widely acknowledged by the academic community through active reviewing roles and editorial responsibilities, as well as through publication in top-tier journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Instrumentation and Measurement, and SCIENCE CHINA Information Sciences.

🔬 Research Focus

  • Prof. Shi’s primary research interests include cooperative control of multi-robot systems, fault diagnosis and fault-tolerant control of distributed systems, and learning-based control strategies for unmanned aerial vehicle (UAV) systems. His work addresses both theoretical challenges and practical applications in intelligent autonomous systems, with an emphasis on robustness, adaptability, and distributed coordination.

🌎Conclusion

  • Prof. Jiantao Shi is highly deserving of the Research for Best Researcher Award. His work not only meets the highest standards of academic excellence but also demonstrates real-world impact and thought leadership in the field of intelligent systems and control engineering.

📖Publications

  • Estimating Lithium-Ion Battery Health Status: A Temporal Deep Learning Approach With Uncertainty Representation
    Authors: Chuang Chen, Hongtian Chen, Jiantao Shi, Dongdong Yue, Ge Shi, Dongzhen Lyu
    Journal: IEEE Sensors Journal

  • Leveraging Trend-Aware Attention in Transformers for Lithium-Ion Battery Capacity Prediction
    Authors: Chuang Chen, Yuheng Wu, Jiantao Shi, Dongdong Yue, Hongtian Chen
    Journal: IEEE Sensors Letters

  • Model Reference Adaptive Stabilizing Control for Leader-following Consensus
    Authors: Dongdong Yue, Jiantao Shi, Ling Shi, Paolo Frasca, Simone Baldi
    Journal: IEEE Transactions on Automatic Control

  • Constructing High-Quality Health Indicators from Multi-Source Sensor Data for Predictive Maintenance Applications
    Authors: Chuang Chen, Mengchen Li, Jiantao Shi, Dongdong Yue, Ge Shi, Cuimei Bo
    Journal: Expert Systems with Applications

  • A Parallel Weighted ADTC-Transformer Framework with FUnet Fusion and KAN for Improved Lithium-Ion Battery SOH Prediction
    Authors: Chuang Chen, Yuheng Wu, Jiantao Shi, Dongdong Yue, Ge Shi, Dongzhen Lyu
    Journal: Control Engineering Practice

Jiantao Shi | Control | Best Researcher Award