Personal Information

Xie Shiwen, Professor and Doctoral Supervisor at Central South University, IEEE Senior Member and Senior Member of the Chinese Association of Automation.

He earned his doctoral degree in Control Science and Engineering from Central South University in 2019. From May 2017 to May 2019, funded by the China Scholarship Council, he pursued a two-year visiting research at Wayne State University, USA. He collaborated with IEEE Fellow Professor Ying Hao on the research of intelligent control theory and applications. He was appointed Distinguished Associate Professor at Central South University in January 2020, and received exceptional promotion to Professor in September 2024.

Currently, he serves as Deputy Secretary-General of the Big Data Committee and member of the Youth Work Committee under the Chinese Association of Automation, as well as a member of the Intelligent Control and System Committee of the Chinese Institute of Command and Control. He acts as Youth Editorial Board Member of AI Open and Green and Smart Mining Engineering (GSME), and the inaugural Subject Editor of GSME. Additionally, he works as a peer reviewer for over ten prestigious domestic and international journals, including IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, IEEE Transactions on Cybernetics, Journal of Process Control, IET Control Theory and Applications, ISA Transactions, Neurocomputing and Acta Automatica Sinica.

His main research interests cover industrial artificial intelligence, industrial large models, machine vision, knowledge automation and deep learning. He has published more than 50 papers in top-tier journals such as IEEE Transactions and flagship IFAC journals, along with 8 international conference papers. He has filed 30 national invention patents, among which 21 have been authorized.

He has received numerous honors and awards, including the First Prize of Science and Technology Award of China Nonferrous Metals Industry, Outstanding Doctoral Dissertation Award of Chinese Association of Automation (2020), Best Paper Award at International Conference on Industrial Artificial Intelligence (2024), Best Application Paper Award of YAC2023, and Second Prize of Excellent Academic Papers in Hunan Provincial Natural Science. He has been selected as Hunan Distinguished Young Scholar, recipient of the Young Talent Support Project of China Association for Science and Technology, Outstanding Young Talent of Hunan Provincial Department of Education, Excellent Supervisor of Hunan Provincial Postgraduate AI Innovation Competition, and Pioneer Teacher of the Ministry of Education-Huawei Intelligent Base Program.

He presides over a series of research projects, including one General Program and one Youth Program funded by the National Natural Science Foundation of China (NSFC), one sub-project of the National Key R&D Program, one Distinguished Youth Fund and one General Program of Hunan Provincial Natural Science Foundation, one Outstanding Youth Project of Hunan Provincial Department of Education, one Youth Talent Support Project of Chinese Association of Automation and one Natural Science Fund of Changsha City. He also participates in multiple key research programs such as NSFC Key Program, NSFC Distinguished Young Scholar Program, NSFC Key Project on AI Emergency Management and National Major Scientific Research Instrument Development Project, as well as industrial internet innovation projects supported by the Ministry of Industry and Information Technology. The total research funding of involved projects exceeds 90 million RMB.

Every year, he recruits 1 doctoral student and  3 master students for academic and professional degrees majoring in Automation, Artificial Intelligence and Control Science. Potential research topics include industrial artificial intelligence, industrial large models, big data machine learning, machine vision, knowledge acquisition and representation, fuzzy control and other related fields. Admission focuses on personal morality and personality rather than academic scores or alma mater background. We advocate a balanced lifestyle with diligent study and relaxed communication.

For inquiries, please contact via QQ: 790270819.

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Advantages of the Research Group

（1）Cutting-edge research directions with abundant innovative research topics;

（2）Harmonious academic atmosphere. The group is led by distinguished young scholars and affiliated to an academician team, providing solid academic support;

（3）Graduates are widely employed by renowned enterprises including Huawei, Alibaba and iFlytek, with internal referral opportunities available;

（4）Close cooperative relations with universities at home and abroad, offering sound opportunities for further academic pursuit.