.Deputy Director of Academic Affairs Office, Nanjing Tech University, China
Li Lijuan is a distinguished professor and doctoral supervisor at the School of Electrical Engineering and Control Science, Nanjing Tech University. She serves as the vice dean of the school and director of the Institute of Automation. Renowned for her contributions to control science, she is a candidate for the Jiangsu Province 333 High-level Talent Program and the Jiangsu Province “Six Talent Peaks” Program. Li Lijuan is an active member of various committees within the Chinese Automation Society and is a certified expert in Chinese Engineering Education. Her extensive research, numerous publications, and patents underscore her expertise and influence in the field.
Profile
Scopus
Educational Background π:
- PhD in Control Science and Engineering from Zhejiang University (2005.3β2008.12)
- Master’s in Control Theory and Control Engineering from Nanjing University of Technology (2001.9β2004.6)
- Bachelor of Science in Production Process Automation from Nanjing University of Technology (1993.9οΌ1997.6)
Work Experience πΌ:
- Visiting Scholar, University of Southern California, USA (2013.4-2014.4)
- Teacher of Control Science and Engineering, Nanjing University of Technology (1997.8-Present)
Research Interests π¬:
- Modeling, Optimization, and Predictive Control
- Intelligent Robots
- Detection Technology and Embedded Systems
- Smart Security
- Application of Artificial Intelligence in Industrial Processes
Awards π:
- China Patent Excellence Award for Fully Automatic Bag Packaging Flexible Production Line (2020)
- National Teaching Achievement Second Prize
- Five provincial and ministerial teaching achievement awards
Publications Top NotesΒ π:
Li, Lijuan, et al. “An optimized control strategy based on multidimensional feature operation pattern.” IEEE Transactions on Control Systems Technology, 2024. Link
Li, Lijuan, et al. “Multiresolution deep feature learning for pointer meters reading recognition.” Journal of Manufacturing Processes, 2024. Link
Li, Lijuan, et al. “YOLOv5-SFE: An algorithm fusing spatio-temporal features for detecting and recognizing workers’ operating behaviors.” Advanced Engineering Informatics, 2023. Link
Li, Lijuan, et al. “A performance assessment methodology with coupling between layers for LP-DMC systems.” International Journal of Robust Nonlinear Control, 2023. Link
Li, Lijuan, et al. “Optimization of oxygen system scheduling in hybrid action space based on deep reinforcement learning.” Computers & Chemical Engineering, 2023. Link