Zhong Weimin, Professor, Doctoral Supervisor, Winner of the National Science Fund for Distinguished Young Scholars, and Honeywell Scholar. He is currently the Dean of the School of Information Science and Engineering.

He graduated from Zhejiang University with a bachelor's degree in the major of Industrial Automation in 1998. In 2006, he received a doctorate in Control Science and Engineering from Zhejiang University. In the same year, he started to work as a post-doctoral researcher at East China University of Science and Technology and has been engaged in teaching and research work since then. His major research areas include Machine Learning and Smart Optimization Methods, Industrial Process Modeling and Optimization Control, and Basic Theory of Integrated Smart Manufacturing in Refining and Chemical Industry.

He has undertaken Basic Science Center Program of National Natural Science Foundation of China (PI), Distinguished Young Scholars Program, National Major Projects, National Key Research and Development Projects, National 863 Plan Projects, National Science and Technology Support Projects, and more than 10 enterprise-level science and technology development programs. He has applied for more than 50 national invention patents, registered more than 50 computer software copyrights, and published more than 100 papers. He has won 1 Second Prize of the State Scientific and Technological Progress Award and 3 First Prizes of the Provincial and Ministerial Science and Technology Awards. In 2019, he won the National Science Fund for Distinguished Young Scholars. In 2014, he was awarded the National Science Fund for Excellent Young Scholars. In 2015, he won the East China University of Science and Technology Young Talent President Award. In 2015, he won the Shanghai Talent Development Fund.

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

Address: 130 Meilong Road, Shanghai

Work Phone: 021-64252640

E-mail: wmzhong@ecust.edu.cn

Research Interests:

Modeling, control and optimization of chemical process,

Intelligent optimization manufacturing of process industry

Teaching:

Process Measurement and Control Instrument, undergraduate course

Intelligent Optimization Calculation, graduate course

Computational Intelligence, graduate course

Research Program：

• Jan. 2020 to Dec. 2024, the National Science Fund for Distinguished Young Scholars, 61925305, Chemical Process Modeling and Operation Optimization, PI.

• Jul. 2016 to Jul. 2020, National Key Research and Development Project, 2016YFB0303403, Smart Optimization Control of Kiln Calcination Process, PI.

• Jan. 2019 to Dec. 2023, NSFC Major Project, 61890933, Early Warning and Self-healing Control of Abnormal Conditions in Urban Sewage Treatment Process, PI.

• Apr. 2015 to Dec. 2017, National Science and Technology Support Project, 2015BAF22B02, Process Software, Knowledge Base R&D and Industrial Application for Smart Manufacturing of Ethylene Derivatives, PI.

• May 2020 to May 2029, Sinopec Zhenhai Refining & Chemical Company, Crude oil online quick evaluation technology and its application in blending and atmospheric and vacuum cutting, PI.

• Oct. 2019 to Oct. 2029, Sinochem Quanzhou Petrochemical Co., Ltd., Research and development of intelligent optimization technology for large-scale refining and chemical integration, PI.

Publications:

• Dan Yang, Xin Peng*, Zhencheng Ye, Yusheng Lu, Weimin Zhong*. Domain adaptation network with uncertainty modeling and its application to the online energy consumption prediction of ethylene distillation processes. Applied Energy. 2021, 303, 117610.

• Haojie Huang, Zhongmei Li, Xin Peng*, Steven X. Ding, Weimin Zhong*. Gaussian process regression with maximizing the composite conditional likelihood. IEEE Transactions on Instrumentation and Measurement. 2021, 70: 1-11.

• Xin Peng, Zhi Li*, Weimin Zhong*, Feng Qian, Ying Tian. Concurrent Quality-Relevant Canonical Correlation Analysis for Nonlinear Continuous Process Decomposition and Monitoring. Industrial & Engineering Chemistry Research. 2020, 59 (18): 8757-8768.

• Haojie Huang, Xin Peng, Chao Jiang, Zhi Li*, Weimin Zhong*. Variable-Scale Probabilistic Just-in-Time Learning for Soft Sensor Development with Missing Data. Industrial & Engineering Chemistry Research. 2020, 59 (11): 5010-5021.

• Huifen Hong, Chao Jiang, Xin Peng*, Weimin Zhong*. Concurrent Monitoring Strategy for Static and Dynamic Deviations Based on Selective Ensemble Learning Using Slow Feature Analysis. Industrial & Engineering Chemistry Research. 2020, 59(10): 4620-4635.

• Dayu Tan, Linggang Chen, Chao Jiang, Weimin Zhong*, Wenli Du, Feng Qian, and Vladimir Mahalec. A Circular Targets Feature Detection Framework based on DCNN for Industrial Applications. IEEE Transactions on Industrial Informatics. 2020, 3024578.

• Dayu Tan, Weimin Zhong*, Chao Jiang, Xin Peng, Wangli He. High-order fuzzy clustering algorithm based on multikernel mean shift. Neurocomputing. 2020, 385, 63-79.

• Jinquan Zheng, Wenli Du*, Ioana Nascu, Yuanming Zhu, Weimin Zhong*. An Interval Type-2 Fuzzy Controller Based on Data-Driven Parameters Extraction for Cement Calciner Process. IEEE Access. 2020, 8: 61775-61789.

• Xin Peng, Steven X. Ding，Wenli Du, Weimin Zhong*, Feng Qian*. Distributed process monitoring based on canonical correlation analysis with partly-connected topology. Control Engineering Practice. 2020, 101: 104500.

• Dayu Tan, Weimin Zhong*, Xin Peng, Qiang Wang, Vladimir Mahalec*. Accurate and Fast Deep Evolutionary Networks Structured Representation through Activating and Freezing Dense Networks. IEEE Transactions on Cognitive and Developmental Systems. 2020, 3017100.

• Mengqi Xue, Yang Tang, Ligang Wu, Weimin Zhong*, Feng Qian*. Switching stabilization for Type-2 fuzzy systems with networked-induced packet losses. IEEE Transactions on Cybernetics. 2019, 49(7): 2591-2604.

• Wei Du, Weimin Zhong*, Yang Tang*, Wenli Du, Yaochu Jin. High-Dimensional Robust Multi-Objective Optimization for Order Scheduling: A Decision Variable Classification Approach. IEEE Transactions on Industrial Informatics. 2019, 15(1): 293-304.

• Jian Long, Tianyue Li, Minglei Yang, Guihua Hu, Weimin Zhong*. Hybrid Strategy Integrating Variable Selection and a Neural Network for Fluid Catalytic Cracking Modeling. Industrial & Engineering Chemistry Research. 2019, 58(1): 247-258.

• Xinchen Lin, Yang Tang, Huaglory Tianfield, Feng Qian*, Weimin Zhong*. A Novel Approach to Reconstruction based Saliency Detection via Convolutional Neural Network Stacked with Auto-encoder. Neurocomputing. 2019, 349: 145-155.

• Benfeng Yuan, Yu Zhang, Guihua Hu, Weimin Zhong*, Feng Qian*. Analytical models for heat transfer in the tube bundle of convection section in a steam cracking furnace. Applied Thermal Engineering. 2019, 163, 113947.

• Yaoyao Bao, Yuanming Zhu, Wenli Du, Weimin Zhong*, Feng Qian*. A distributed PCA-TSS based soft sensor for raw meal fineness in VRM system. Control Engineering Practice. 2019, 90: 38-49.

• Yaoyao Bao, Yuanming Zhu, Weimin Zhong*, Feng Qian*. A novel chemical composition estimation model for cement raw material blending process. Chinese Journal of Chemical Engineering. 2019, 27(11):2734-2741.

• Weimin Zhong*, Chao Jiang, Xin Pen, Zhi Li, Feng Qian. Online Quality Prediction of Industrial Terephthalic Acid Hydropurification Process Using Modified Regularized Slow-Feature Analysis. Industrial & Engineering Chemistry Research. 2018, 57(29):9604-9614.

• Weimin Zhong*, Dayu Tan*, Xin Peng, Yang Tang, Wangli He. Fuzzy high-order hybrid clustering algorithm for swarm intelligence sets. Neurocomputing. 2018, 314: 347-359.

• Yi Liang, Wangli He, Weimin Zhong*, Feng Qian*. Objective reduction particle swarm optimizer based on maximal information coefficient for many-objective problems. Neurocomputing. 2018, 281: 1-11.

• Hongguang Pan, Weimin Zhong*, Zaiying Wang, Guoxin Wang. Optimization of industrial boiler combustion control system based on genetic algorithm. Computers & Electrical Engineering. 2018, 70:987-997. (SCI, EI) (IF: 1.747)

• Weimin Zhong*, Shuming Liu, Feng Wan, Zhi Li. Equipment selection knowledge base system for industrial styrene process. Chinese Journal of Chemical Engineering. 2018, 26(8):1707-1712.