Du Wenli, Professor and Doctoral Supervisor. Winner of the National Science Fund for Distinguished Young Scholars, National High-level Talent, and Head of the Innovation Team of Ministry of Science and Technology. She is currently the Dean of the Graduate School, the Deputy Director of the Key Laboratory of Smart Manufacturing in Energy Chemical Process of Ministry of Education, and a member of Control Science and Engineering Discipline Appraisal Group of Academic Degree Commission of the State Council.

She has been engaged in the research and development of industrial process control and optimization technology for a long time. In recent years, she has undertaken the research and development work of more than 20 projects including Major Project of the National Natural Science Foundation, National 863 Plan Project, and other Major (and Key) Scientific and Technological Breakthrough projects in Shanghai and at enterprise level. She has won 5 Second Prizes of the State Scientific and Technological Progress Award and 12 first prizes of provincial and ministerial-level Scientific and Technological award. She has 50 national invention patents authorized and 60 pieces of national computer software copyright successfully registered. She has published more than 200 papers indexed by SCI and EI.

Department: Department of Automation, School of Information Science and Engineering

Address: 130 Meilong Road, Shanghai

Work Phone: 021-64252060

E-mail: wldu@ecust.edu.cn

Research Interests:

Industrial process modeling, control and optimization

Mechanism and data-driven industrial process modeling

Advanced control and autonomous control

Optimization and decision-making of large-scale complex chemical process system

Machine learning and applicaitons

Data mining and statistical analysis methods

Transfer learning and federal learning

Learning driven optimization

Applications to smart process manufacturing system

Teaching:

Artificial Neural Networks and Applications, undergraduate course

Systems Engineering Theory and Methodology, graduate course

Professional Services：

Standing Director of Chinese Association of Automation

Standing Director of the Chinese Society of Artificial Intelligence,

President of Shanghai Institute of Smart Process Manufacturing Technology and Innovation

Vice President of Shanghai Association of Automation

Standing Director of Smart Factory Professional Committee of China Instrument and Control Society

Associate editor, Complex & Intelligent Systems

Member of Editorial Board, Industrial & Engineering Chemistry Research

Member of Editorial Board, Computers & Chemical Engineering

Research Program：

• Jan. 2018 to Dec. 2022, The National Science Fund for Distinguished Young Scholars, 61725301, Chemical Process Control and Optimization, PI

• Jan. 2016 to Dec. 2020, NSFC Major Project, 61590923, Integrated Modeling Theory and Technology for Whole-process Optimization Operation in the Process of Oil Refining Production, PI

• Oct. 2011 to Dec. 2014, National 863 Plan Project, 2012AA040307, Carbon Efficiency Optimization Technology for Typical Process Industry Manufacturing Process, PI

• Jan. 2014 to Dec. 2017, EU Marie Curie IRSES Program, R-D-CSPP-PCC-PSE, Research and Development in Coal-fired Supercritical Power Plant with Post-combustion Carbon Capture using Process Systems Engineering techniques, Head of the sub-project.

• Aug. 2020 to Aug. 2030, Sinopec Hainan Refining & Chemical Co., Ltd., Construction of simulation and intelligent control information system for large-scale aromatics plant, PI.

• Aug. 2018 to Oct. 2028, CNPC Dushanzi Petrochemical Company, Development and demonstration application of real-time online optimization technology for ethylene plant, PI.

• Dec. 2016 to Dec. 2025, Sinopec Shanghai Petrochemical Co., Ltd., Maximize the yield and benefit of high value-added products in ethylene plant, PI.

Publications:

• Qingchao Jiang#, Xiaoming Fu#, Shifu Yan#, Runlai Li, Wenli Du，Zhixing Cao*, Feng Qian, Ramon Grima*. Neural network aided approximation and parameter inference of non-Markovian models of gene expression. Nature Communications. 2021, 12(1): 1-12.

• Jinjin Xu, Wenli Du*, Yaochu Jin*, Wangli He, Ran Cheng. Ternary compression for communication-efficient federated learning. IEEE Transactions on Neural Networks and Learning Systems. 2021, DOI: 10.1109/TNNLS.2020.3041185.

• Qun Wu, Wenli Du*. Online Detection of Model-Plant Mismatch in Closed-Loop Systems with Gaussian Processes. IEEE Transactions on Industrial Informatics. 2021.

• Chensheng Liu, Ruilong Deng, Wangli He, Hao Liang, Wenli Du*. Optimal coding schemes for detecting false data injection attacks in power system state estimation. IEEE Transactions on Smart Grid. 2021.

• Huijing Yu, Wenli Du*, Zi-Qiang Lang, Kai Wang, Jian Long. A Novel Integrated Approach to Characterization of Petroleum Naphtha Properties from Near-Infrared Spectroscopy. IEEE Transactions on Instrumentation and Measurement. 2021, 70, 2510413.

• Jingjing Guo, Wenli Du*, Qun Wu*, Zhencheng Ye. Fast and Effective Dynamic Optimization for Chemical Processes with Catalyst Deactivation Based on Incremental Encoding and Random Search. Industrial & Engineering Chemistry Research. 2021, 60: 2983-2993.

• Jinquan Zheng, Wenli Du*, Ziqiang Lang, Feng Qian. Modeling and Optimization of the Cement Calcination Process for Reducing NO x Emission Using an Improved Just-In-Time Gaussian Mixture Regression. Industrial & Engineering Chemistry Research. 2020, 59(11): 4987-4999.

• Jingjing Guo, Wenli Du*, Ioana Nascu. Adaptive Modeling of Fixed-Bed Reactors with Multicycle and Multimode Characteristics Based on Transfer Learning and Just-In-Time Learning. Industrial & Engineering Chemistry Research. 2020, 59(14): 6629-6637.

• Yu Zhang, Wenli Du*. Intelligent time-scale operator-splitting integration for chemical reaction systems. IEEE Transactions on Neural Networks and Learning Systems. 2020, 3006348.

• Hengmin Zhang, Feng Qian*, Fanhua Shang, Wenli Du*, Jianjun Qian, Jian Yang. Global convergence guarantees of (a) gist for a family of nonconvex sparse learning problems. IEEE Transactions on Cybernetics. 2020, 3010960.

• Kai Wang, Wenli Du*, Jian Long. Near-infrared wavelength-selection method based on joint mutual information and weighted bootstrap sampling. IEEE Transactions on Industrial Informatics. 2020, 16(9): 5884-5894.

• Jingyi Lu, Zhixing Cao* , Qinran Hu, Zuhua Xu, Wenli Du*, Furong Gao. Optimal iterative learning control for batch processes in the presence of time-varying Dynamics. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2020, 3031669.

• Zhe Wang*, Yanqiong Li, Dongdong Li, Zonghai Zhu, Wenli Du*. Entropy and gravitation based dynamic radius nearest neighbor classification for imbalanced problem. Knowledge-Based Systems. 2020, 105474.

• Zhe Wang*, Sisi Hong, Lijuan Yao, Dongdong Li, Wenli Du*, Jing Zhang. Multiple universum empirical kernel learning. Engineering Applications of Artificial Intelligence. 2020, 89, 103461.

• Qun Wu, Wenli Du*, Zoltan Nagy. Steady-state target calculation integrating economic optimization for constrained model predictive control. Computers & Chemical Engineering. 2020, 107145.

• Bin Shao, Guihua Hu, Khalil A. M. Alkebsi, Guanghua Ye, Xiaoqing Lin, Wenli Du, Jun Hu*, Meihong Wang*, Honglai Liu, Feng Qian. Heterojunction-redox catalysts of FexCoyMg10CaO for high-temperature CO2 capture and in situ conversion in the context of green manufacturing. Energy & Environmental Science. 2020.

• Zonghai Zhu, Zhe Wang*, Dongdong Li, Wenli Du*. Tree-Based Space Partition and Merging Ensemble Learning Framework for Imbalanced Problems. Information Sciences. 2019, 503:1-22.

• Dong Han, Wenli Du*, Wei Du, Yaochu Jin, Chunping Wu. An Adaptive Decomposition-Based Evolutionary Algorithm for Many-Objective Optimization. Information Sciences. 2019, 491: 204-222.

• Zhao Zhou, Shu Lin, Wenli Du*, Haili Liang*. Integration of Regional Demand Management and Signals Control for Urban Traffic Networks. IEEE Access. 2019, 7(1): 20235-20248.

• YueFeng Lin, Wei Du, Wenli Du*. Multi-objective differential evolution with dynamic hybrid constraint handling mechanism. Soft Computing. 2019, 23(12):4341-4355.

• Zonghai Zhu, Zhe Wang*, Dongdong Li, Yujin Zhu, Wenli Du*. Geometric Structural Ensemble Learning for Imbalanced Problems. IEEE transactions on cybernetics. 2018: 2877663

• Xin Peng, Yang Tang, Wenli Du*, Feng Qian*. Multimode Process Monitoring and Fault Detection: A Sparse Modeling and Dictionary Learning Method. IEEE Transactions on Industrial Electronics. 2017, 64(6):4866-4875.

• Wangli He, Guanrong Chen, Qing-Long Han, Wenli Du*, Jinde Cao, Feng Qian. Multi-agent systems on multilayer networks: synchronization analysis and network design. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2017, 47(7):1655-1667.

• Xin Peng, Yang Tang, Wenli Du*, Feng Qian*. An Online Performance Monitoring and Modeling Paradigm based on Just-in-time Learning and Extreme Learning Machine for Non-Gaussian Chemical Process. Industrial & Engineering Chemistry Research. 2017, 56(23): 6671-6684.

• Benfeng Yuan, Yu Zhang, Xin Peng, Wenli Du*, Guihua Hu, Feng Qian. Simulation of the evaporation tube banks in the convection section of a steam cracking furnace using an evaporation model. Industrial & Engineering Chemistry Research. 2017, 56(38):10813-10825.

• Wenli Du*, Chunyu Bao, Xu Chen, Liang Tian, Da Jiang. Dynamic optimization of tandem acetylene hydrogenation process. Industrial & Engineering Chemistry Research. 2016, 55(46):11983-11995.