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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 modeling, granular computing, 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, et al. A compact enhanced information granulation with angled elliptical forms for time series dynamic feature extraction [J]. IEEE Transactions on Industrial Informatics, 22 (5): 4604-4609, 2026.
[2] Sheng Du, et al. Information granulation with hyper-box geometries via principal component analysis for data representation [J]. IEEE Transactions on Industrial Informatics, 22 (9): 8620-8625, 2026.
[3] Sheng Du, et al. An intelligent optimization strategy of operating parameters for stable-efficient operation in the iron ore sintering process [J]. Swarm and Evolutionary Computation, 109: 102551, 2026.
[4] Sheng Du, et al. An improved time series similarity measurement via elliptical information granules [J]. IEEE Signal Processing Letters, 33: 1043-1046, 2026.
[5] Sheng Du, et al. Cross-domain intelligent monitoring based on class-aware adaptive sparse transfer dictionary learning for geological drilling process [J]. IEEE Sensors Journal, 2026, 26 (19): 28477-28486.
[6] Sheng Du, et al. Intelligent prediction and soft-sensing of comprehensive production indicators for iron ore sintering: A review [J]. Computers in Industry, 165: 104215, 2025.
[7] Sheng Du, et al. A novel evaluation criterion for density clustering via circular information granules [J]. IEEE Signal Processing Letters, 32: 2724-2727, 2025.
[8] Sheng Du, et al. Time series anomaly detection via rectangular information granulation for sintering process [J]. IEEE Transactions on Fuzzy Systems, 32 (8): 4799-4804, 2024.
[9] Sheng Du, et al. 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.
[10] Sheng Du, et al. Operating performance improvement based on prediction and grade assessment for sintering process [J]. IEEE Transactions on Cybernetics, 52 (10): 10529-10541, 2022.
[11] Sheng Du, et al. Prediction model of burn-through point with fuzzy time series for iron ore sintering process [J]. Engineering Applications of Artificial Intelligence, 102: 104259, 2021.
[12] Sheng Du, et al. 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.
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
2026.02-Now：Associate Editor of World Journal of Engineering
2026.04-Now：Editorial Board Member of Discover Computing
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
