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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.
He is a member of Technical Committee of Control Theory of Chinese Association of Automation and a member of Technical Committee of Intelligent Robots of Chinese Association for Artificial Intelligence.
 “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)
 “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)
 “Development of complex geological drilling technology and equipment,” National Key R&D Program of China under Grant, 2018-2021. (Main Investigator)
 “Key technologies of multi-modal deep cognitive information perception and emotion expression for service robots,” Wuhan Science and Technology Project, 2017-2019. (Director)
 “The temperature control project of annealing furnace of Valin Lianyuan Steel,” Enterprise science and technology projects, 2015-2017. (Director)
 “Study on dynamic process modeling and control methods based on performance assessment,” National Natural Science Foundation of China, 2013-2016. (Director)
 “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)
 “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)
 “Multi-agent adaptive collaboration model based on dynamic layering and self-learning,” National Natural Science Foundation of China, 2009-2011. (Director)
 “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)
 Min Wu, Weihua Cao, Xin Chen. Intelligent Control of Complex Metallurgical Processes [M]. Science Press, 2016.
 Min Wu, Weihua Cao, Xin Chen, Jinhua She. Intelligent Optimization and Control of Complex Metallurgical Processes [M]. Springer, 2019.
 Weihua Cao, Yongyue Zhang, Jin-Hua 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.
 Weihua Cao, Can Liu, Yan Yuan, Min Wu, Shengbiao Wu. Parametric modeling of microwave filter using combined MLS-SVR and pole-residue-based transfer functions [J]. International Journal RF Microwave Computer-Aided Engineering, 2018, 28(5): e21246.
 Weihua Cao, Can Liu, Yan Yuan, Min Wu. Extracting coupling matrix from Lossy filters with uneven-Qs using differential evolution optimization technique [J]. International Journal RF Microwave Computer-Aided Engineering, 2018, 28(6): e21269.
 Youwu Du, Weihua Cao*, Jin-Hua She, Min Wu, Mingxing Fang, Seiichi Kawata. Disturbance rejection and control system design using improved equivalent input disturbance approach [J]. IEEE Transactions on Industrial Electronics, 2020, 67(4): 3013-3023.
 Youwu Du, Weihua Cao*, Jin-Hua She, Min Wu, Mingxing Fang, Seiichi Kawata. Disturbance rejection for input-delay system using observer-predictor-based output feedback Control [J]. IEEE Transactions on Industrial Informatics, 2020, 16(7): 4489-4497.
 Chao Gan, Weihua Cao*, Min Wu, Kang-Zhi Liu, Xin Chen, Yule Hu, Fulong Ning. Two-level intelligent modeling method for the rate of penetration in complex geological drilling process [J]. Applied Soft Computing. 2019, 80: 592-602.
 Chao Gan, Weihua Cao*, Min Wu, Xin Chen. A new bat algorithm based on iterative local search and stochastic inertia weight [J]. Expert Systems with Applications, 2018, 104: 202-212.