2026 2nd International Conference on Electrical, Control, and Artificial Intelligence (ICOECAI 2026)
Prof. Fuchun Liu
Guangdong University of Technology, China
Biography:
Dr. Fuchun Liu, Professor and PhD supervisor, is the Head of the Department of Computer Science and a selected candidate of the Guangdong Province "Thousand Talents Project" (provincial-level). He serves as a reviewer for several internationally renowned SCI journals, including *IEEE Transactions on Automatic Control*, *IEEE Transactions on Fuzzy Systems*, *IEEE Transactions on Systems, Man, and Cybernetics*, *Automatica*, as well as multiple core domestic journals. He has frequently acted as session chair and associate editor for IEEE international conferences and is an expert reviewer for projects such as the National Natural Science Foundation of China, Guangdong Provincial Natural Science Foundation, and the China Postdoctoral Science Foundation. He has long been engaged in teaching and research in the fields of mathematics, automatic control, and computer science. His main research areas include automatic control theory and applications, fault prediction and diagnosis, formal languages and automata, and algorithm design and analysis. He has successively led several national and provincial-level research projects, including those funded by the National Natural Science Foundation of China, Guangdong Provincial Natural Science Foundation, and Guangdong High-Level Talent Projects. He has published over 60 papers in top international SCI journals such as *IEEE Transactions on Automatic Control*, *Automatica*, *IEEE Transactions on Fuzzy Systems*, *IEEE Transactions on Cybernetics*, as well as in Chinese journals including *Science China*, *Journal of Software*, *Journal of Computer Science*, and *Control Theory and Applications*, with more than 40 papers indexed by SCI and EI.
Prof. Xiaodong Xu
Central South University, China
National-Level Young Talent; Hunan Provincial Excellent Young Talent
Biography:
Prof. Xiaodong Xu, Central South University, China
Professor, Master's Supervisor, and Doctoral Supervisor. He received his Bachelor's degree in Automatic Control from Beijing Institute of Technology in 2010, and his Ph.D. in Process Control from the University of Alberta, Canada, in 2017. From August 2017 to August 2018, he conducted postdoctoral research at the Department of Chemical and Materials Engineering, University of Alberta, focusing on artificial intelligence methods for fault diagnosis in production processes. From September 2018 to September 2020, he conducted postdoctoral research at the University of Texas at Austin, USA, working on machine learning-based online intelligent detection and estimation of model mismatch in modern industrial processes and process industry systems, as well as research on intelligent manufacturing technology and industrial applications.
His main research directions include:
(1) Cooperative information perception, state estimation, fault detection and estimation for distributed parameter systems based on artificial intelligence learning;
(2) Advanced process control for industrial big data based on data-driven reinforcement learning;
(3) Adaptive learning modeling of industrial systems based on edge computing, cloud control, fuzzy logic systems, and deep neural networks;
(4) Model parameter mismatch estimation based on artificial neural networks, Autoencoders, and other models;
(5) Learning strategy-based intelligent inspection control and path optimization for intelligent vehicles, robots, etc.
In the past five years, he has published over 80 academic papers in journals such as *Automatica*, *IEEE Transactions on Automatic Control*, and IEEE Transactions. He also serves as a member of the Technical Committee on Intelligent Control and Intelligent Management of the Chinese Association for Artificial Intelligence (CAAI), a member of the Intelligent Manufacturing Professional Committee of the Hunan Nonferrous Metals Society, and a member of the Technical Committee on Autonomous Unmanned Systems of CAAI.
Prof. Chao Deng
Nanjing University of Posts and Telecommunications, China
National-Level Young Talent
Biography:
Chao Deng received his Ph.D. degree in Control Science and Engineering from Northeastern University, China, in 2018. From 2018 to 2021, he conducted postdoctoral research at Nanyang Technological University, Singapore. He is currently a Professor and Doctoral/Master's Supervisor at the Institute of Carbon Neutrality Advanced Technology, Nanjing University of Posts and Telecommunications. He is a recipient of the National-Level Young Talent Program and a High-Level Talent of Nanjing University of Posts and Telecommunications. His main research interests include cooperative security control of cyber-physical systems, reliable and secure control of smart grids, target detection and formation control of autonomous unmanned vehicles, cooperative formation control of UAVs, and applications of artificial intelligence algorithms in medical informatics.
As first and corresponding author, he has published over 50 papers in SCI journals (including 12 papers in top control journals such as IEEE TAC and Automatica), 15 ESI Highly Cited Papers, and has received over 8,300 Google Scholar citations. One of his papers received the 2022 IEEE SMC Society Best Transactions Paper Award (2022 Andrew P. Sage Best Transactions Paper Award). He also serves as an IEEE Senior Member, a member of the Chinese Association of Automation, and an editorial board member of the international journal Journal of Control and Decision.
Prof. Daowen Qiu
Sun Yat-sen University
Biography: