Min Wu received his B.S. and M.S. degrees in engineering from Central South University, Changsha, China, in 1983 and 1986, respectively, and his Ph.D. degree in engineering from the Tokyo Institute of Technology, Tokyo, Japan, in 1999.

He was a faculty member of the School of Information Science and Engineering at Central South University from 1986 to 2014, and was promoted to Professor in 1994. He served as the Vice Dean (1999-2010) and Dean (2010-2014) of the School of Information Science and Engineering of Central South University. In 2014, he joined the China University of Geosciences, Wuhan, China, where he is a professor in the School of Automation. He served as the Dean of the School of Automation, China University of Geosciences (2014-2021). Since 2021, he is currently serving as the Dean of the School of Future Technology and the Dean of the Institute of Artificial Intelligence, China University of Geosciences. He was a visiting scholar with the Department of Electrical Engineering, Tohoku University, Sendai, Japan, from 1989 to 1990, and a visiting research scholar with the Department of Control and Systems Engineering, Tokyo Institute of Technology, from 1996 to 1999. He was a visiting professor at the School of Mechanical, Materials, Manufacturing Engineering and Management, University of Nottingham, Nottingham, UK, from 2001 to 2002. His current research interests include process control, robust control, and intelligent systems.

Prof. Wu has published 9 monographs and more than 520 SCI-indexed papers. He has been included in the list of Clarivate (Thomson Reuters)' Highly Cited Researchers from 2014 to 2016, 2020 and 2022. Due to his contributions on control theory and its engineering applications, he received numerous honors including the International Federation of Automatic Control (IFAC) Control Engineering Practice Prize Paper Award in 1999, the second-class prize of China’s National Natural Science Award in 2014, the second-class prize of China’s National Science and Technology Progress Award in 2004, and the Academic Contribution Award of Chinese Process Control in 2009. In recent years, he was selected as One Hundred Leading Talents of Patent Invention of Hubei Province, China (2022), and a research achievement is listed in the Major Technological Innovation Achievement of Artificial Intelligence of Hubei Province, China (2021).

He has been a principal investigator of more than 50 research projects including a Major Research Project of NSFC (National Natural Science Foundation of China) in 2018-2022, a Major International Joint Research Project of NSFC in 2013-2017, and a Major International Joint Research Project of Ministry of Education of China in 2017-2026. He is the owner of 99 patents and 29 software copyrights.

Prof. Wu is a Fellow of IEEE (IEEE Fellow), a Fellow of the Chinese Association of Automation (CAA Fellow), Vice-President of the Technical Committee on Control Theory, China Association of Automation, and an active member of the Technical Committee on Process Control, China Association of Automation. Moreover, he served as an Associate Editor of the editorial board of the international Journals concluding IEEE Transactions on Cybernetics, Control Engineering Practice and Information Sciences, and the Chinese journals including Control Theory and Applications, Information and Control, Drilling Engineering and Metallurgical Automation.

He has collaborated with research groups at the University of South Wales, University of Essex, Liverpool University, Brunel University London and De Montfort University in United Kingdom, the Duisburg Essen University in Germany, the University of Zielona Gora in Poland, Tokyo Institute of Technology, Waseda University, Tokyo University of Technology and Nagoya Institute of Technology in Japan, and the University of Alberta and Concordia University in Canada, etc., on academic exchange and joint research.

Prof. Wu organized many influential academic conferences as the General Chair of Chinese Control Conference in 2018, 2018 China Intelligent Geological Equipment Technology Development Forum and Chinese Conference on Decision and Control in 2014, the Steering Committee Chair of the 6th IEEE International Conference on Industrial Cyber-Physical Systems in 2023, and the Chair of National Organization Committee of Chinese Control Conference in 2007 and the Chair of Organization Committee of Chinese Process Control Conference in 2003.

Main Books 

1. Min Wu, Weihua Cao, Xin Chen, Luefeng Chen, Chengda Lu, Chao Gan. Intelligent Control of Complex Geological Drilling Processes. Science Press, 2022.

2. Min Wu, Jinhua She. Two-Dimensional Repetitive Control. Science Press, 2022.

3. Min Wu, Witold Pedrycz, Luefeng Chen. Developments in Advanced Control and Intelligent Automation for Complex Systems. Springer, 2021.

4. Min Wu, Weihua Cao, Xin Chen, Jinhua She. Intelligent Optimization and Control of Complex Metallurgical Processes. Springer, 2020.

5. Min Wu, Zhentao Liu, Luefeng Chen. Affective Computing and Affective Robot Systems. Science Press, 2018.

6. Min Wu, Weihua Cao, Xin Chen. Intelligent Control of Complex Metallurgical Processes. Science Press, 2016.

7. Min Wu, Yong He, Jinhua She. Stability Analysis and Robust Control of Time-Delay Systems. Springer, 2010.

8. Min Wu, Yong He, Jinhua She. Robust Control Theoy. Higher Education Press, 2010.

9. Min Wu, Yong He. Robust Control of Time-Delay Systems: A Free Weighting Matrax Approach. Science Press, 2008

10. Min Wu, Weihua Gui Yong He. Advanced Ronbust Control (The Second edition). Central South University Press, 2006; Min Wu, Weihua Gui. Advanced Ronbust Control (The first edition). Central South University of Technology Press, 1998.

11. Luefeng Chen, Min Wu, Witold Pedrycz, Kaoru Hirota. Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems. Springer, 2021.

12. Xuzhi Lai, Jinhua She, Min Wu. Control of Underactuated Mechanical Systems. SciencePress, 2013.

Main Journal Papers

      [1] Min Wu, Wanjuan Su, Luefeng Chen, Zhentao Liu, Weihua Cao, Kaoru Hirota. Weight-adapted convolution neural network for facial expression recognition in human-robot interaction. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 51 (3)；1474-1484.

      [2] Min Wu, Hongzhen Qin, Xiongbo Wan, Yuxiao Du. HFO detection in epilepsy: a stacked denoising autoencoder and sample weight adjusting factors-based method. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021, 29 (9): 1965-1976.

[3] Min Wu, Fang Gao, Pan Yu, Jinhua She, Weihua Cao. Improve disturbance-rejection performance for an equivalent-input-disturbance-based control system by incorporating a proportional-integral observer. IEEE Transactions on Industrial Electronics, 2020, 67 (2): 1254-1260.

[4] Min Wu, Ting Wan, Min Ding, Xiongbo Wan, Yuxiao Du, Jinhua She. A new unsupervised detector of High-frequency oscillations in accurate localization of epileptic seizure onset zones. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2018, 12 (12): 2280-2289.

[5] Min Wu, Kexin Zhang, Jianqi An, Jinhua She, Kang-Zhi Liu. An energy efficient decision-making strategy of burden distribution for blast furnace. Control Engineering Practice, 2018, 78: 186-195.

[6] Min Wu, Ting Wan, Xiongbo Wan, Yuxiao Du, Jinhua She. Fast, accurate localization of epileptic seizure onset zones based on detection of high-frequency oscillations using improved wavelet transform and matching pursuit methods. Neural Computation, 2017, 29 (1): 194-219.

[7] Min Wu, Pan Yu, Xin Chen, Jinhua She. Design of repetitive-control system with input dead zone based on generalized extended-state observer. Journal of Dynamic Systems, Measurement, and Control - ASME Transactions, 2017, 139 (7): 071008.

[8] Min Wu, Bao-Gang Xu, Wei-Hua Cao, Jin-Hua She. Aperiodic Disturbance Rejection in Repetitive-Control Systems. IEEE Transactions on Control Systems Technology, 2014, 22 (3): 1044-1051.

[9] Min Wu, Xiao-Xia Chen, Wei-Hua Cao, Jin-Hua She, Chunsheng Wang. An intelligent integrated optimization system for the proportioning of iron ore in a sintering process. Journal of Process Control, 2014, 24 (1): 182-202.

[10] Min Wu, Chun-Sheng Wang, Wei-Hua Cao, Xu-Zhi Lai, Xin Chen. Design and application of generalized predictive control strategy with closed-loop identification for burn-through point in sintering process. Control Engineering Practice, 2012, 20 (10): 1065-1074.

[11] Min Wu, Chen-Hua Xu, Jin-Hua She, Wei-Hua Cao. Neural-network-based integrated model for predicting burn-through point in lead-zinc sintering process. Journal of Process Control, 2012, 5 (22): 925-934.

[12] Min Wu, Qi Lei, Wei-Hua Cao, Jin-Hua She. Integrated soft sensing of coke-oven temperature. Control Engineering Practice，2011，19 (10): 1116-1125.

[13] Min Wu, Lan Zhou, Jin-Hua She. Design of observer-based H-infinite robust repetitive-control system. IEEE Transactions on Automatic Control, 2011, 56 (6): 1452-1457.

[14] Min Wu, Zhi-Yong Feng, Yong He, Jin-Hua She. Improved delay-dependent absolute stability and robust stability for a class of nonlinear systems with a time-varying delay. International Journal of Robust and Nonlinear Control, 2010, 20 (6): 694-702.

[15] Min Wu, Wei-Hua Cao, Cheng-Yan He, Jin-Hua She. Integrated intelligent control of gas mixing-and-pressurization process. IEEE Transactions on Control Systems Technology, 2009, 17 (1): 68-77.

[16] Min Wu, Chen-Hua Xu, Jin-Hua She, Ryuichi Yokoyama. Intelligent integrated optimization and control system for lead-zinc sintering process. Control Engineering Practice, 2009, 17 (2): 280-290.

[17] Min Wu, Jin Yan, Jin-Hua She, Wei-Hua Cao. Intelligent decoupling control of gas collection process of multiple asymmetric coke ovens. IEEE Transactions on Industrial Electronics, 2009, 56 (7): 2782-2792.

[18] Min Wu, Fang Liu, Peng Shi, Yong He, Ryuichi Yokoyama, Improved Free- Weighting Matrix Approach for Stability Analysis of Discrete-Time Recurrent Neural Networks With Time-Varying Delay. IEEE Transactions on Circuits and Systems II: Express Briefs. 55 (7). 690-694, 2008.

[19] Min Wu, Fang Liu, Peng Shi, Yong He, Ryuichi Yokoyama, Exponential stability analysis for neural networks with time-varying delay. IEEE Transactions on Systems Man and Cybernetics Part B. 38 (4). 1152-1156, 2008.

[20] Min Wu, Jin-Hua She, Gui-Xiu Zeng, Y. Ohyama, Internet-based teaching and experiment system for control engineering course. IEEE Transactions on Industrial Electronics. 55 (6). 2386-2396, 2008.

[21] Min Wu, Yong He, Jin-Hua She, Guo-Ping Liu. Delay-dependent criteria for robust stability of time-varying delay systems. Automatica, 2004, 40 (8): 1435-1439.

[22] Min Wu, Yong He, Jin-Hua She. New delay-dependent stability criteria and stabilizing method for neutral systems. IEEE Transactions on Automatic Control, 2004, 49 (12): 2266-2271.

[23] Min Wu, Jin-Hua She, Nakano M. An expert control system using neural networks for the electrolytic process in zinc hydrometallurgy. Engineering Applications of Artificial Intelligence, 2001, 14 (5): 589-598.

[24] Min Wu, M. Nakano, Jin-Hua She. A model-based expert control strategy using neural networks for the coal blending process in an iron and steel plant. Expert Systems with Applications, 1999, 16 (3): 271-281.

[25] Min Wu, M. Nakano, Jin-Hua She. A model-based expert control system for the leaching process in zinc hydrometallurgy. Expert Systems with Applications, 1999, 16 (2): 135-143.

[26] Min Wu, M. Nakano, Jin-Hua She. A distributed expert control system for a hydrometallurgical zinc process. Control Engineering Practice, 1998, 6 (12): 1435-1446.