2026 9th International Conference on Power Electronics and Control Engineering (ICPECE 2026)

Prof. Yongduan Song, Chongqing University, USA (Dean)

Song Yongduan, Chongqing Longevity, an internationally renowned expert in the field of automation and artificial intelligence, is currently the president of the Institute of Artificial Intelligence of Chongqing University. The first batch of high-level talents in China, IEEE Fellow, member of China Automation Society, member of China Artificial Intelligence Society, editor-in-chief of ' IEEE TNNLS ' and founding editor-in-chief of ' Journal of Automation and Intelligence '. A former director of the National Aeronautics Institute Collaborative Systems Center, Langley is a distinguished scientist. In 2025, he was elected as a foreign academician of the Chinese Academy of Engineering. At the same time, it has trained and condensed a group of young backbones with international vision for the western region, including Yangtze River scholars, national outstanding youth and ' four youth ' level talents, which has laid an important and solid foundation for the construction of the western discipline echelon.

Researcher Yanlong Zhao, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China

Zhao Yanlong, doctoral supervisor, is currently a Researcher at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences. He graduated with a bachelor's degree from the School of Mathematics and Systems Science, Shandong University in 2002, and obtained a doctoral degree from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences in 2007. He has successively engaged in postdoctoral research at Wayne State University in the United States and Nanyang Technological University in Singapore, and once served as a visiting scholar at Linköping University in Sweden. His work experience includes positions such as Assistant Researcher and Associate Researcher. He has long been committed to the research fields of set-valued nonlinear system identification and adaptive control, financial system modeling, communication networks and systems biology. Currently, he enrolls postgraduate students majoring in Systems Theory, Operations Research and Cybernetics, and Communication and Information Systems, with research directions focusing on communication and information systems, set-valued system identification and adaptive control, and financial system modeling.

Prof. Housheng Su, Huazhong University of Science and Technology, China

Su Housheng is a Level-2 Professor, PhD Supervisor, and Chair of the Department of Intelligent Systems and Systems Engineering, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology (HUST). He is a recipient of the National Science Fund for Distinguished Young Scholars and selected for the National Young Top-Notch Talents Program of the “Ten Thousand Talents Plan”. He also serves as Deputy Director of the Engineering Research Center of Autonomous Intelligent Unmanned Systems, Ministry of Education. He received his PhD degree from Shanghai Jiao Tong University in 2008. His research focuses on cooperative control theory of multi-agent systems and its applications in the coordinated control of unmanned surface vehicle (USV) swarms. Driven by frontier scientific issues and major application demands of unmanned swarm collaboration, he has made a series of outstanding achievements in cooperative control theory and its engineering applications in USV swarm coordination. His academic honors include the Second Class Prize of the State Natural Science Award, the First Class Prize of the Natural Science Award of the Ministry of Education, the First Class Prize of Hubei Natural Science Award, and the First Class Prize of Guangdong Technological Invention Award. He is a Highly Cited Researcher (Clarivate Analytics), a Highly Cited Chinese Researcher (Elsevier), and has been listed among the World’s Top 0.05% Scientists by ScholarGPS and the World’s Top 2% Scientists by Stanford University. He also leads an Innovative Research Group in Hubei Province, is a recipient of the Hubei Science Fund for Distinguished Young Scholars, and was selected for the Program for New Century Excellent Talents in University of the Ministry of Education. Prof. Su has presided over 8 projects of the National Natural Science Foundation of China and 1 key international cooperation project under the National Key R&D Program of China. He serves as a panel reviewer for talent programs of the Ministry of Science and Technology, a panel reviewer for the Information Science Department of the National Natural Science Foundation of China, and an external reviewer for the Research Grants Council (RGC) of Hong Kong. He has published more than 300 peer-reviewed papers in SCI journals, including over 30 ESI Highly Cited Papers and more than 100 papers in IEEE Transactions journals. He is an Associate Editor of IEEE Transactions on Systems, Man and Cybernetics: Systems and other international journals.

Prof. Zhaoshui He, Guangdong University of Technology, China
Professor at Guangdong University of Technology under the Hundred Talents Program, PhD Supervisor at the School of Automation, National Leading Talent in Science and Technology Innovation of the National Special Support Program for High-Level Talents, and Pearl River Scholar, he also serves as Deputy Director of the Guangdong Provincial Key Laboratory of IoT Information Technology and Deputy Director of the Institute of Intelligent Information Processing at Guangdong University of Technology. His research focuses on intelligent information processing, pattern recognition and machine learning, covering sparse signal analysis and compressed sensing, high-dimensional signal processing and deep learning, as well as photoelectric imaging and detection and localization. He has published more than 70 papers in internationally authoritative journals including IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), with over 600 citations on Google Scholar, and his work has been widely praised by leading international experts, with comments such as representing the state of the art in the field and complementing and improving the entire theoretical framework of probabilistic clustering analysis. He has applied for more than 20 invention patents and received numerous national and provincial science and technology awards, including the Second Class Prize of the National Natural Science Award, the First Class Prize of the Natural Science Award of Guangdong Province, and the First Class Prize of the Nominated Natural Science Award by the Ministry of Education. He has presided over a number of key research projects, including the Excellent Young Scientists Fund of the National Natural Science Foundation of China, the Program for New Century Excellent Talents in University of the Ministry of Education, the Team Project of the Guangdong Natural Science Foundation, and the Key Program of the Guangdong Natural Science Foundation.