2026 2nd International Conference on Electrical, Control, and Artificial Intelligence (ICOECAI 2026)

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.

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.

(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

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 is a professor at Sun Yat-sen University and holds a Ph.D. in Science. In August 2002, he completed his postdoctoral research at Tsinghua University and joined Sun Yat-sen University in the same year. Since 2004, he has been appointed as a full professor of computer science and a doctoral supervisor. He has been engaged in research on quantum computing and quantum information for over 20 years. His main research directions include quantum computing models, quantum query algorithms, distributed quantum algorithms, (fuzzy, probabilistic, and quantum) automata, and discrete event systems. His research integrates classical and quantum computing processing, aiming to achieve better physical realizability and intrinsically outperform classical computation. He has published more than 200 academic papers in academic journals and conferences, and has authored an academic monograph on quantum automata. Currently, he serves as an editorial board member for Theoretical Computer Science, an associate editor for Frontiers in Computer Science, and an editorial board member for Quantum Reports.

Prof. Wei Liu is a Professor, Doctoral Supervisor, and Master's Supervisor. He received his B.S. degree from the School of Automation, Southeast University in 2009, his M.S. degree from the Department of Automation, University of Science and Technology of China in 2012, and his Ph.D. degree from the Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong in 2016. From July 2016 to January 2021, he successively served as a Postdoctoral Fellow, Research Associate, and Impact Postdoctoral Fellow in the Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong. Since March 2021, he has been a Professor at the School of Automation Science and Engineering, South China University of Technology.

Prof. Liu has received the National High-Level Young Talent Program, the TCL Young Scholar Endowed Position, the Xinghua Scholar Talent Program – Elite Scholar Endowed Position, the Outstanding Doctoral Dissertation Award of the Chinese Association of Automation, the Hong Kong Special Administrative Region Government Outreach Experience Award, the CUHK Impact Postdoctoral Fellowship, the CUHK Young Scholar Outstanding Doctoral Dissertation Award, and the Best Theory Paper Award at the Nonlinear Systems and Control Conference and the International Conference on Superrobotics. He has published over 50 journal and conference papers as first or corresponding author, including 9 papers (3 of which are full-length papers) in the two top international journals in automatic control: IEEE Transactions on Automatic Control and Automatica. He has led over 10 projects funded by national, Guangdong provincial, Guangzhou municipal, university-level, and enterprise sources. He has served as Technical Program Committee Chair, Program Committee Chair, Publication Committee Chair, and Program Committee Member for many international conferences, including ETAE, NSCC, ICARCV, ICCA, and FASTA. Currently, he serves as an editorial board member of Control Theory & Applications (EI-indexed Chinese core journal) and Unmanned Systems (ESCI and EI-indexed English journal). He is also a reviewer for over 30 international authoritative journals, including IEEE Transactions on Automatic Control and Automatica, and for more than 10 renowned international conferences, including CDC, IFAC, and ACC.