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Sheng Du (Member, IEEE) received the B.S. degree in Measurement & Control Technology and Instrument and the Ph.D. degree in Control Science and Engineering from China University of Geosciences, Wuhan, China, in 2016 and 2021, respectively. He was a joint Ph.D. student with the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada, from 2019 to 2021. He was a Postdoctoral Fellow in Control Science and Engineering, China University of Geosciences, Wuhan, China, from 2021 to 2023.
He is currently a Professor with the School of Artificial Intelligence and Automation, China University of Geosciences, Wuhan, China. His research interests include process control, intelligent control, intelligent optimization, computational intelligence, and artificial intelligence.
Dr. Du is a Senior Member of the Chinese Association of Automation (CAA) and a winner of the Outstanding Doctoral Thesis Nomination Award of the CAA. He is an Associate Editor of Measurement and Control.
Academic Homepage： Google Scholar | Scopus ID | ORCID ID | Web of Science ResearcherID | ResearchGate
Education and Work Experience
2012-2016, School of Automation, China University of Geosciences, Measurement & Control Technology and Instruments, B.S. Degree
2016-2021, School of Automation, China University of Geosciences, Control Science and Engineering, Ph.D. Degree
2019-2021, Department of Electrical and Computer Engineering, University of Alberta, Control Science and Engineering, Joint Ph.D. Student
2021-2023, School of Automation, China University of Geosciences, Control Science and Engineering, Postdoctoral Fellow
2021-Present, School of Artificial Intelligence and Automation, China University of Geosciences, Professor
China Postdoctoral Science Foundation (Grant No. 2023M733306), 2023.06~2025.06, Principal Investigator.
Hubei Provincial Natural Science Foundation of China (Grant No. 2025AFB471), 2025.06~2027.06, Principal Investigator.
Hubei Provincial Natural Science Foundation of China (Grant No. 2022CFB582), 2022.06~2024.06, Principal Investigator.
Natural Science Foundation of Wuhan (Grant No. 2024040801020280), 2024.06~2026.06, Principal Investigator.
Post-doctoral Innovation Research Post in Hubei Province (Grant No. 1232216), 2022.06~2024.06, Principal Investigator.
Fundamental Research Funds for National Universities (Grant No. 2021237), 2021.12~2024.12, Principal Investigator.
Program of China Scholarship Council (Grant No. 201906410029), 2019.09~2021.09, Principal Investigator.
National Natural Science Foundation of China (Grant No. 61210011), 2013.01~2017.12, Participation.
National Natural Science Foundation of China (Grant No. 62373334), 2024.01~2027.12, Participation.
[1] Sheng Du, Xian Ma, Min Wu, Weihua Cao, Witold Pedrycz. Time series anomaly detection via rectangular information granulation for sintering process [J]. IEEE Transactions on Fuzzy Systems, 32 (8): 4799-4804, 2024.
[2] Sheng Du, Min Wu, Luefeng Chen, Weihua Cao, Witold Pedrycz, Information granulation with rectangular information granules and its application in time series similarity measurement [J], IEEE Transactions on Fuzzy Systems, 30 (10): 4069-4081, 2022.
[3] Sheng Du, Min Wu, Luefeng Chen, Li Jin, Weihua Cao, Witold Pedrycz, Operating performance improvement based on prediction and grade assessment for sintering process [J], IEEE Transactions on Cybernetics, 52 (10): 10529-10541, 2022.
[4] Sheng Du, Min Wu, Xin Chen, Weihua Cao, An intelligent control strategy for iron ore sintering ignition process based on the prediction of ignition temperature [J], IEEE Transactions on Industrial Electronics, 67 (2): 1233-1241, 2020.
[5] Sheng Du, Min Wu, Luefeng Chen, Kailong Zhou, Jie Hu, Weihua Cao, Witold Pedrycz, A fuzzy control strategy for burn-through point based on feature extraction of time-series trend in iron ore sintering process [J], IEEE Transactions on Industrial Informatics, 16 (4): 2357-2368, 2020.
[6] Sheng Du, Min Wu, Luefeng Chen, Jie Hu, Li Jin, Weihua Cao, Witold Pedrycz, Operating mode recognition based on fluctuation interval prediction for iron ore sintering process [J], IEEE/ASME Transactions on Mechatronics, 25 (5): 2297-2308, 2020.
[7] Sheng Du, Min Wu, Xin Chen, Jie Hu, Weihua Cao, Intelligent integrated control for burn-through point to carbon efficiency optimization in iron ore sintering process [J], IEEE Transactions on Control Systems Technology, 28 (6): 2497-2505, 2020.
[8] Sheng Du, Min Wu, Luefeng Chen, Weihua Cao, Witold Pedrycz, Operating mode recognition based on the clustering of time series data for iron ore sintering process [J], Control Engineering Practice, 96: 104297, 2020.
[9] Sheng Du, Min Wu, Luefeng Chen, Weihua Cao, Witold Pedrycz. An intelligent decision-making strategy based on the forecast of abnormal operating mode for iron ore sintering process [J], Journal of Process Control, 96: 57-66, 2020.
[10] Sheng Du, Min Wu, Luefeng Chen, Witold Pedrycz, Prediction model of burn-through point with fuzzy time series for iron ore sintering process [J], Engineering Applications of Artificial Intelligence, 102: 104259, 2021.
[11] Sheng Du, Xian Ma, Haipeng Fan, Jie Hu, Weihua Cao, Min Wu, Witold Pedrycz. Intelligent prediction and soft-sensing of comprehensive production indicators for iron ore sintering: A review [J]. Computers in Industry, 165: 104215, 2025.
[12] Sheng Du, Min Wu, Xin Chen, Xuzhi Lai, Weihua Cao. Intelligent coordinating control between burn-through point and mixture bunker level in an iron ore sintering process [J]. Journal of Advanced Computational Intelligence and Intelligent Informatics, 21 (1): 139-147, 2017.
[13] Sheng Du, Wei Wang, Hao Fu, Xiongbo Wan. Fault detection and state estimation in automatic control [M]. Basel, Switzerland: Multidisciplinary Digital Publishing Institute, 2023.
[14] Sheng Du, Li Jin, Xiongbo Wan, Zixin Huang. Industrial process operation state sensing and performance optimization [M]. Basel, Switzerland: Multidisciplinary Digital Publishing Institute, 2024.
[15] Yunlong Wu, Zhengjun He, Shaobo Li, Yi Zhang, Bing Ji, Sheng Du*. Outlier filtering for 3-D sonar data via rectangular information granulation [J]. IEEE Transactions on Geoscience and Remote Sensing, 62: 5706113, 2024.
Outstanding Doctoral Thesis Nomination Award of the Chinese Association of Automation (CAA)
Stars of Self-improvement of Chinese College Students
2024.03-Now：Associate Editor of Measurement and Control
2023.06-Now：Associate Editor of Franklin Open
2024.06-Now：Associate Editor of e-Prime - Advances in Electrical Engineering, Electronics and Energy
2024.10-Now：Editorial Board Member of Scientific Reports
2022.02-Now：Editorial Board Member of International Transactions on Electrical Energy Systems
2022.02-Now：Editorial Board Member of Journal of Mathematics
2022.04-Now：Editorial Board Member of Journal of Sensors
2023.02-Now：Editorial Board Member of PLoS ONE
Process Control, Intelligent Control, Intelligent Optimization, Computational Intelligence, Artificial Intelligence
Postcode: 430074
Email: dusheng@cug.edu.cn
Address: No. 388, Lumo Road, Hongshan District, Wuhan, Hubei Province, China
