师资队伍

教师名录


李柠
长聘教授电子邮件:ning_li@sjtu.edu.cn
通讯地址:电信群楼2-525
个人主页:https://academic532.github.io/
研究方向
Distributed optimization and control, Prognostic and Health Management, Active perception and intelligent decision-making of unmanned systems, Artificial Intelligence
工作经历
12/2005-Present, Asso. Professor/Professor, School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University
02/2009-05/2009, Visiting Scholar, Massachusetts Institute of Technology (MIT), USA
07/2011-10/2011, Visiting Research Fellow, National University of Singapore (NUS), Singapore
04/2002-12/2005, Lecturer/Asso. Professor, School of Information Science and Engineering, East China University of Science and Technology
教育背景
Ph.D. in Control Theory and Control Engineering, 04/1999-04/2002, Shanghai Jiao Tong University
M.S. in Industrial Automation, 09/1996-01/1999, Qingdao Institute of Science and Technology
B.S. in Automation of Production Process, 09/1992-07/1996, Qingdao Institute of Science and Technology
教学工作
Principles of Automatic Control, for Undergraduates, 2012- Present
Control of Manufacturing Processes, for CLGO (Dual M.S. Degree) students, Fall Semester, 2008-Present
Case Analysis of Engineering Management Practice, for MEM students, 2020-Present
Intelligent Control, for M.S. of Engineering Candidates, Fall Semester, 2002, Fall Semester, 2003
Large Scale Systems, for M.S. Candidates, Spring Semester, 2003-2005
Adaptive Control (part), for M.S. Candidates, Fall Semester, 2006
Signal and Information Processing, for M.S. Candidates, Spring Semester, 2007
Engineering English, for CLGO (Dual M.S. Degree) students, Fall Semester, 2009-
Academic Seminar, for M.S. & Ph.D Candidates, Spring Semester, 2010-
Seminar of Advanced Process Control, for Undergraduates, Fall Semester, 2012-
科研项目
Research on distributed online data learning algorithm for complex dynamic optimization problems, NSFC, 2023.01-2026.12
Research and development of network-based device service-oriented encapsulation and interaction management components, Key R&D Project of the Ministry of Science and Technology, 2019.04-2022.03
Distributed Rolling Optimal Scheduling for Wind Turbine Generators Based on Data Learning Model. National Science Foundation of China, NSFC, 2018.01-2021.12
Experimental Platform and Application Verification of Global Optimization Operation in Refinery Production Process. NSFC, 2016.01-2020.12
Real-time Motion Control Method of Welding Operation and Implementation of 3D Reconstruction and Precise Calibration Method. National 863 Project, 2015.03-2018.03
Performance Limitation Analysis of Constrained Adaptive Predictive Control System. NSFC, 2014.01-2017.12
Basic Scientific Problems of Emergency Relief Robot for Nuclear Power Plant. National 973 Project, 2013.01-2017.08
Data-driven Predictive Controller Design and Performance Monitoring. NSFC, 2011.01-2013.12
Dynamic Control of Four-leg Bionic Robots. National 863 Project, 2011.01-2013.12
Theory and Efficient Algorithm of Constrained Model Predictive Control. NSFC, 2010.01-2013.12
研究成果
Wang P, Lu Y, Lian J, et al. Privacy-Preserving Average Consensus With Beaver Triple and Communication Obfuscation[J]. IEEE Transactions on Automatic Control, 2025
Yan M, Hui S C, Jiang N, et al. A review on data-driven prognostics and health management for wind turbine systems[J]. Engineering Applications of Artificial Intelligence, 2025, 159: 111484.
Xin J, Kim J, Li Z, et al. Train a real-world local path planner in one hour via partially decoupled reinforcement learning and vectorized diversity[J]. Engineering Applications of Artificial Intelligence, 2025, 141: 109726.
Yan M, Jiang N, Li N. TML-DA: Transfer metric learning based distribution alignment framework for domain class imbalanced classification[J]. Knowledge-Based Systems, 2025: 113086.
Zhao J, Li N, Wang P. Enhanced Security of Industrial Fault Diagnosis Systems With Synergy of Covert Attacks and Low-Overhead Defenses[J]. IEEE Transactions on Industrial Informatics, 2024.
Zhang Y, Wang P, Li N. Double-Loop-Optimization-Based Joint Parameter Tuning for Dynamic Matrix Control With Validation in Intelligent Cigarette Drying Process[J]. IEEE Transactions on Industrial Informatics, 2024.
Zhang Y, Wang P, Yu L, et al. Decoupled Volt/var Control with Safe Reinforcement Learning based on Approximate Bayesian Inference[J]. IEEE Transactions on Sustainable Energy, 2024.
Zhang Y, Wang P, Yu L, et al. Adaptive Tuning of Dynamic Matrix Control for Uncertain Industrial Systems With Deep Reinforcement Learning[J]. IEEE Transactions on Automation Science and Engineering, 2024.
Zhao J, Li N. DFDAN: A Dual-branch Feature Decoupling-driven Auxiliary Network for Enhanced Fault Diagnosis Safety[J]. IEEE Transactions on Instrumentation and Measurement, 2024.
Xin J, Kim J, Chu S, et al. OkayPlan: Obstacle Kinematics Augmented Dynamic real-time path Planning via particle swarm optimization[J]. Ocean Engineering, 2024, 303: 117841.
Wang J, Yang Y, Li N. Randomization-based neural networks for image-based wind turbine fault diagnosis[J]. Engineering Applications of Artificial Intelligence, 2023, 121: 106028.
荣誉奖励
Based on quality and sharing, we aim to create a unique and high-quality course group on the principles of automatic control, Shanghai Teaching Achievement Award (First Prize), 2017 (Rank 8)
Distributed Predictive Control Theory and Method of Networked Systems. CAA Natural Science Award (First Prize), 2016 (Rank 4)
Exploration and practice of cultivating innovative talents in the field of electrical engineering by strengthening problem awareness and stimulating innovative drive, Shanghai Teaching Achievement Award (First Prize), 2013 (Rank 7)
Multi-disciplinary, multi-level and all-round collaborative cultivation of compound applied talents: China Global Operations Leader Program, Shanghai Teaching Achievement Award (First Prize), 2013 (Rank 9)
Satisfying Optimal Control Theory and Applications for Constrained Industrial Processes. Science and Technology Progress Award of Shanghai (First Prize), 2006, (Rank 3)
学术任职
AE of《Transactions of the Institute of Measurement and Control》SCI
Member of the Big Data Committee, Chinese Association of Automation
Member of the Predictive Control and Intelligent Decision-making Committee, Chinese Association of Automation
Member of the Cloud Control and Decision-making Committee, Chinese Association of Command and Control
Member of the Artificial Intelligence Simulation Technology Committee, Chinese Society of Simulation
Council Member, Shanghai Automation Society