| Honghai LiuSoutheast University, China Profile: Professor Honghai Liu received his PhD in Intelligent Robotics from King's College, University of London. He is currently a Chair in Human Machine Systems at the University of Portsmouth and has served as Director for Biomedical Robotics and Intelligent Systems since 2005. Prior to academia, he worked in industry on large-scale industrial control and system integration projects, and held academic appointments at the University of London and the University of Aberdeen. His research focuses on motion sensing and understanding and its applications to human-machine systems, particularly approaches that contribute to the intelligent connection of perception to action, with applications in exploring solutions for children with Autism Spectrum Disorder and stroke patients. His work has been supported by the Royal Society, the Royal Academy of Engineering, EPSRC, the EU 7th Framework Programme, SEEDA, the Japan Society for the Promotion of Science, the British Council, as well as national and international industrial and academic partners. |
| Dong YueNanjing University of Posts and Telecommunications, China Profile: Professor Dong Yue, Director of the Academic Committee and Dean of the Institute of Advanced Carbon Neutrality Technology, Nanjing University of Posts and Telecommunications. He is a Distinguished Professor of the Chang Jiang Scholars Program (Ministry of Education), a Foreign Member of the Russian Academy of Engineering, an IEEE Fellow, a Fellow of the Chinese Association of Automation, and a Highly Cited Chinese Researcher by Elsevier (2014–2025). He has led nearly 20 major research projects, including National Key R&D Program projects, National 863 Program projects, and key/general projects funded by the National Natural Science Foundation of China, as well as provincial and ministerial projects. He has received multiple prestigious awards, including the First Prize of Jiangsu Provincial Science and Technology Award, the First Prize of CAA Invention Award, and the First Prize of CAA Natural Science Award. He was also the recipient of the 2021 IEEE Systems Journal Best Paper Award and the 2020 Norbert Wiener Review Award from the IEEE/CAA Journal of Automatica Sinica. Three of his inventions won Silver Medals at the 2022 Geneva International Exhibition of Inventions. |
| Daogang PengShanghai University of Electric Power, China Profile: Daogang Peng, PhD, professor, and doctoral supervisor, is the Director of Human Resources at Shanghai University of Electric Power, and formerly served as Dean of the School of Automation Engineering. He has been honored with the Shanghai Eastern Talent Plan Teacher Project and the Shanghai Rising-Star Program. His research focuses on key technologies and applications in low-carbon intelligent power generation, integrated smart energy systems, and virtual power plants. He has led over 70 research projects, including National Key R&D Program of China, General Programs of the National Natural Science Foundation of China, as well as projects funded by the Shanghai Science and Technology Commission, power grid companies, and power generation enterprises. He has published over 100 SCI/EI-indexed papers, authored 6 academic books, and holds more than 80 authorized Chinese invention patents and over 50 software copyrights. He has also contributed to the development of 7 national and association technical standards. His scientific achievements have been recognized with more than 10 awards from institutions including the Shanghai Municipal Government, the Chinese Association of Automation, and China Electric Power. |
| Juan YanAnhui University, China Profile: Juan Yan, Professor, Awardee of Overseas Young Talent Program of both Anhui Province and China, Associate Dean of China-France Engineering School of Anhui University, Associate Director of the Engineering Research Center of Power Quality (China Ministry of Education). Juan received her BEng/Meng, Masters and PhD degrees from Harbin Institute of Technology and Queen's University Belfast under the supervision of Prof Guofu Zhai and Prof Kang Li. She led one sub-project of the EU Human Brain Project in cooperation with Prof. Steve Furber (inventor of ARM architecture) at the University of Manchester and later worked as the lead of machine learning R&D at the University of Warwick and Accenture. Her Research interests include smart grid technologies (source-load forecasting, probabilistic scheduling, energy storage, virtual power plants), and machine learning applications in power systems. She hosted many research projects including 5 industrial collaborations and 1 EU Council project, exceeding several million RMB in total. She obtained many awards such as Best Invited Presentation Award, Gold Medal, Geneva International Exhibition of Inventions, Accenture Annual Innovation Award, Queen's University Belfast Research Plus Award, 2 Best Conference Paper Awards, UK-China Science Bridge Scholarship and West Midlands Women in Tech Impact Award Nomination etc |
| Dongqin FengZhejiang University, China Profile: DongqinFeng is a Qiushi Distinguished Professor at the College of Control Science and Engineering, Zhejiang University; Executive Director and Chief Engineer of the National Engineering Laboratory for Industrial Control System Security Technology; an expert on the Expert Panel of the Alliance for the Security Protection of Critical Information Infrastructure; an expert on the Science, Technology, Equipment, and Information Technology Subcommittee of the Yangtze River Delta Emergency Management Expert Group; an expert on the IEC/TC65 Standards Drafting Working Group of the International Electrotechnical Commission (IEC); a council member of the China Instrumentation Society; and an expert on the Expert Committee of the China Energy Society. He has received the Second Prize of the National Technology Invention Award, the First Prize of the Zhejiang Provincial Science and Technology Progress Award, and the First Prize of the China Standard Innovation Contribution Award, among others, and has been selected for the national "Hundred-Thousand-Ten Thousand" Talent Project. He led the research, development, and formulation of five EPA-series international standards—China's first international standards for industrial automation—as well as five national standards. He also led the development of four national standards in the GB/T 33009-2016 series, Cybersecurity for Industrial Automation and Control Systems—Distributed Control Systems (DCS), as well as the "Extended Security Requirements for Industrial Control Systems" under the Multi-level Protection Scheme (MLPS) 2.0. He developed the TL-ICS series of products for industrial control network security detection, situational awareness, measurement and control behavior analysis and auditing, and penetration testing. These products have been successfully applied in production facilities across the power, water conservancy, new energy, environmental protection, petrochemical, and chemical industries, achieving comprehensive prevention and control centered on critical business operations. |
