| 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 |
| Xiong LiuJinan University, China Profile: Dr. Xiong Liu (Senior Member, IEEE), received the B.E. degree majored in electrical engineering and automation and M.Sc. degree majored in power electronics and electrical drive from Huazhong University of Science and Technology, Wuhan, China, in 2006 and 2008, respectively, and the Ph.D degree from the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore in 2013. From September 2011 to January 2012, he was a Visiting Scholar with the Department of Energy Technology, Aalborg University, Denmark. From April 2013 to December 2013, he was a Postdoc Research Fellow with the Energy Research Institute, Nanyang Technological University. From December 2013 to July 2020, he worked as a Principal Technologist in Rolls-Royce Electrical, Rolls-Royce Singapore Pte. Ltd. During the work in Rolls-Royce, he has led various research projects in Rolls-Royce@ NTU Corp Lab and supervised 3 Ph. D students. From September 2020 till now, he is an associate professor in the Energy and Electricity Research Center at Jinan University. In his current position, he has led various research projects including one NSFC funded project, and won the sponsorship from Major Talent Program of Guangdong Province. He has published more than 60 papers including 15 first and corresponding authored tier-1 top SCI IEEE Transactions papers, 6 patents granted in US or Europe, and a few Chinese filed patent applications pending review. He has been nominated as World’s Top 2% Scientists 4 times by Stanford and Elsevier in 2020, 2021, 2022, and 2024 respectively. |
