Weihua Cao received his B.S., M.S., and Ph.D. degrees in engineering from Central South University, Changsha, China, in 1994, 1997, and 2007, respectively. From 1997 to 2014, he was a Faculty Member of the School of Information Science and Engineering, Central South University, and was promoted to Professor in 2009. From 2007 to 2008, he was a Visiting Scholar with the Department of Electrical Engineering, University of Alberta, Edmonton, AB, Canada. In 2014, he moved to the China University of Geosciences, Wuhan, China, where he is currently a Professor with the School of Automation. His research interests include intelligent control and process control.

     In the past 15 years, he has published 4 monographs and 103 SCI-indexed papers, more than 30 papers in renowned international journals, such as IEEE TIE, IEEE TCST, and Control Engineering Practice. He is currently serving as a reviewer for several reputed international Journals, such as IEEE Transactions on Cybernetics, IEEE TII, IEEE TIE, and Engineering Applications of Artificial Intelligence. He is the proprietor of 105 patents and 21 software copyrights, and has served as a principal investigator on more than 20 research projects.

Scientific Research       

1) “Environment fusion perception and intelligent collaborative control for deep-sea resource exploration,” National Natural Science Foundation of China, 2024-2028. (Director)

2) “Research and development of Pre-Iron big data system,” Enterprise science and technology projects, 2023-2024. (Director)

3)  “Efficiency dynamic optimization and safety intelligent early warning of drilling process for complex geological environment,” National Natural Science Foundation of China, 2022-2025. (Director)

4)  “Development of Lane Steel's former big data system,” Enterprise science and technology projects, 2021-2021. (Director)

5)  “Coal distribution system renovation and upgrading and process data centralized monitoring system,” Enterprise science and technology projects, 2020-2022. (Director)

6)  “Intelligent technology and application of geological drilling,” Innovative Research Groups of Hubei Natural Science Foundation, 2020-2023. (Director)

7)   “Development of complex geological drilling technology and equipment,” National Key R&D Program of China under Grant, 2018-2021. (Main Investigator)

8)   “Multi-mode classification model and multi-modal fuzzy adaptive control of strip temperature for heating process of annealing furnace,” National Natural Science Foundation of China, 2018-2021. (Director)

9)   “Development and application of key technology of drilling and production equipment in complex geological environment,” Hubei Provincial Technical Innovation Major Project under Grant, 2018-2020. (Technical director)

10)   “Key technologies of multi-modal deep cognitive information perception and emotion expression for service robots,” Wuhan Science and Technology Project, 2017-2019. (Director)

11)   “The temperature control project of annealing furnace of Valin Lianyuan Steel,” Enterprise science and technology projects, 2015-2017. (Director)

12)   “Study on dynamic process modeling and control methods based on performance assessment,” National Natural Science Foundation of China, 2013-2016. (Director)

13)   “The carbon optimization and advanced control theory and application in steel sintering green manufacturing,” National Natural Science International (Regional) Cooperative Foundation of China, 2013-2017. (Main Investigator)

14)   “The operation method and application of blast furnace condition diagnosis and optimization,” Key projects of Hengyang United fund of Hunan Natural Science Foundation, 2012-2014. (Director)

15)   “Multi-agent adaptive collaboration model based on dynamic layering and self-learning,” National Natural Science Foundation of China, 2009-2011. (Director)

16)   “The research on intelligent integrated control technology and application of the sintering process for the whole process optimization,” National 863 Program Foundation of China, 2008-2010. (Director)

Main Books

        1)  Min Wu, Weihua Cao, Xin Chen. Intelligent Control of Complex Metallurgical Processes [M]. Science Press, 2016.

        2)  Min Wu, Weihua Cao, Xin Chen, Jinhua She. Intelligent Optimization and Control of Complex Metallurgical Processes [M]. Springer, 2019.

Main Journals

1)  Youwu Du, Weihua Cao*, Jinhua She, Analysis and design of active disturbance rejection control with an improved extended state observer for systems with measurement noise [J]. IEEE Transactions on Industrial Electronics, 2023, 70(1): 855-865.

2)  Chao Gan, Weihua Cao*, Luzhao Wang, Kangzhi Liu, Min Wu, An improved dynamic optimization control system for the drilling Rate of Penetration (ROP) and its industrial application [J]. IEEE Transactions on Industrial Electronics, 2023, 70(6): 6201-6208.

3)  Yupeng Li, Weihua Cao*, R. Bhushan Gopaluni, Wenkai Hu, Liang Cao, Min Wu. False alarm reduction in drilling process monitoring using virtual sample generation and qualitative trend analysis[J]. Control Engineering Practice, 2023, 133: 105457.

4)  Youwu Du, Weihua Cao*, Jinhua She, Min Wu, Mingxing Fang, Seiichi Kawata, Disturbance rejection and robustness of improved equivalent-input-disturbance-based system [J]. IEEE Transactions on Cybernetics, 2022, 52(8): 8537-8546.

5)  Chao Gan, Weihua Cao*, Kang-Zhi Liu, Min Wu. A novel dynamic model for the online prediction of rate of penetration and its industrial application to a drilling process [J]. Journal of Process Control, 2022, 109: 83-92.

6)  Leyu Bi, Weihua Cao*, Wenkai Hu, Min Wu, A dynamic-attention-based heuristic fuzzy expert system for the tuning of microwave cavity filters [J]. IEEE Transactions on Fuzzy Systems, 2022, 30(9): 3695-3707.

7)  Xi Chen, Weihua Cao*, Chao Gan, Min Wu, A hybrid spatial model based on identified conditions for 3D pore pressure estimation [J]. Journal of Natural Gas Science and Engineering, 2022, 100: 104448.

8)  Yali Jin, Weihua Cao*, Min Wu, Yan Yuan, Data-based variable universe adaptive fuzzy controller with self-tuning parameters [J]. Applied Soft Computing, 2022, 123: 108944.

9)   Xi Chen, Weihua Cao*, Chao Gan, Min Wu, A hybrid spatial model based on identified conditions for 3D pore pressure estimation [J]. Journal of Natural Gas Science and Engineering, 2022, 100: 104448.

10)    Leyu Bi, Weihua Cao*, Wenkai Hu, Min Wu, Intelligent tuning of microwave cavity filters using granular multi-swarm particle swarm optimization [J]. IEEE Transactions on Industrial Electronics, 2021, 68(12): 12901-12911.

11)    Yupeng Li, Weihua Cao*, Wenkai Hu, Ying Xiong, Min Wu, Incipient fault detection for geological drilling processes using multivariate generalized Gaussian distributions and Kullback–Leibler divergence [J]. Control Engineering Practice, 2021, 117: 104937.

12)    Yupeng Li, Weihua Cao*, Wenkai Hu, Min Wu. Abnormality detection for drilling processes based on jensen–shannon divergence and adaptive alarm limits [J]. IEEE Transactions on Industrial Informatics, 2021, 17(9): 6104-6113.

13)    Xi Chen, Weihua Cao*, Chao Gan, Yasuhiro Ohyama, Jinhua She, Min Wu, Semi-supervised support vector regression based on data similarity and its application to rock-mechanics parameters estimation [J]. Engineering Applications of Artificial Intelligence, 2021, 104: 104317.

14)    Chao Gan, Weihua Cao*, Kang-Zhi Liu, Min Wu. A new spatial modeling method for 3D formation drillability field using fuzzy c-means clustering and random forest [J]. Journal of Petroleum Science and Engineering, 2021, 200: 108371.

15)    Weihua Cao*, Yongyue Zhang, Jinhua She, Min Wu, Yuan Cao. A dynamic subspace model for predicting burn-through point in iron sintering process [J]. Information Sciences, 2018, 466: 1-12.