Prof. Zhaochun Li | Intelligent Material Systems And Control | Best Researcher Award
Nanjing Forestry University | China
Dr. Li is a distinguished professor in the College of Mechanical and Electronic Engineering at Nanjing Forestry University, where she has built a strong reputation for her pioneering work in intelligent material systems and advanced control techniques. Her academic journey and professional achievements reflect a deep commitment to innovation in engineering research, particularly in areas that address critical challenges in mechanical performance and structural reliability. With a primary focus on intelligent material systems, Dr. Li has explored how these innovative materials can be effectively integrated into modern engineering applications to enhance efficiency and adaptability. A major part of her research is dedicated to passive and active vibration control, an area that plays a crucial role in ensuring stability, safety, and precision in a wide range of engineering systems. By advancing methods to mitigate vibrations, her work contributes to improving structural durability and performance in both industrial and technological contexts. Over the course of her career, Dr. Li has authored more than 60 peer-reviewed journal articles, providing valuable insights and shaping discourse within her field. Her scholarly contributions not only strengthen academic understanding but also open pathways for practical applications, positioning her as a respected leader and innovator in engineering research.
Profile: Orcid
Featured Publication
Hou, M., Xu, X., Ouyang, Q., & Li, Z. (2025, September 30). Research on model predictive control of magnetorheological impact buffer system considering driver modeling. Engineering Research Express.
Zheng, Z., Zhan, J., Li, Z., Wang, Y., Xu, C., & Wang, X. (2025, September 15). Data-driven twisted string actuation for lightweight and compliant anthropomorphic dexterous hands. Biomimetics.
Zheng, J., Xu, C., Li, Z., Gu, C., Li, X., Li, Z., Li, Y., Lou, G., & Chen, Y. (2024). Growing bimetallic CoNi-MOF derivatives between MXene layers with hierarchically coral-like interfaces for enhanced electromagnetic wave absorption. Journal of Materials Chemistry A.
Zheng, J., Zhao, J., Wang, L., Li, Z., Dong, W., & E, S. (2022, November). Optimal control for soft-landing in elevator emergency crash using multiple magnetorheological shock absorbers. Journal of Intelligent Material Systems and Structures.
Zhang, J., Li, Z., & Liu, X. (2021, November 8). Intelligent tea-picking system based on active computer vision and Internet of Things. Security and Communication Networks.