Kai Yang

Huazhong University of Science and Technology, China

BIO: Kai Yang, Visiting scholar at the University of Leuven in Belgium. He has presided over more than 20 projects such as the National Key Research and Development Plan, the National Natural Science Foundation key project, the national major project, and the Hubei Key research and Development Plan. As the first author or corresponding author, he has published more than 200 high-level academic papers and authorized 68 invention patents. Led to win 4 provincial and ministerial level science and technology progress first prize, won the China Industry-University-research Cooperation Innovation Award, Huo Yingdong Excellent Teacher Award and China Electric Power Outstanding scientific and technological workers.

Shunli Wang

Academician of the Russian Academy of Natural Sciences, IET Fellow

 Smart Energy Storage Institute, China

BIO: Prof. Shunli Wang is a Doctoral Supervisor, Academic Dean, Academic Leader of the National Electrical Safety and Quality Testing Center, Academician of the Russian Academy of Natural Sciences, Provincial Senior Overseas Talent, Provincial level scientific and technological talents, Academic and Technical Leader of China Science and Technology City, and top 2% of top scientists in the world, who is an authoritative expert in renewable energy research. His research interests include modeling, state estimation, and safety management for energy storage systems. 56 projects have been undertaken, including the projects from the National Natural Science Foundation of China and the Provincial Science and Technology Department. 258 research papers have been published (Research Interest Score: 11547; Citations: 3167; h-index: 29). 53 intellectual property rights have been applied, of which 23 authorizations have been approved. 9 books have been published by famous publishers such as Elsevier and IET. 23 honorary titles or awards have been achieved, such as young scholars and leading experts of innovative talent teams. Also, the team has been continuously supported by the "University & Enterprise Innovative Talent Team Support Plan" and unanimously praised by employers and peer experts.

Marcos Gabriel Millan Agorio

Imperial College London, UK

BIO: Dr Marcos Millan graduated as a Chemical Engineer from the University of the Republic of Uruguay in 2001. In 2005, he completed his PhD on “Catalytic Hydrocracking and Characterisation of Heavy Hydrocarbons Liquids” in the Department of Chemical Engineering at Imperial College, which he joined as a lecturer in 2006. He is currently a Reader in the same Department and his research interests focus on gasification of solid fuels, production of liquid fuels from biomass pyrolysis, and heavy oil upgrading and characterisation. His current projects include oxyfuel co-gasification of coal and biomass in a fluidised bed; tar abatement in downdraft biomass gasification; and upgrading of heavy oils in supercritical water. 

Mingming Zhang

Harbin Institute of Technology (Shenzhen), China

BIO: Prof. Zhang Mingming is the director of the Institute of Innovative Technology for Green and Low-Carbon Energy at the School of Mechanical and Electrical Engineering and Automation, Harbin Institute of Technology (Shenzhen). He is a recipient of the National Science Fund for Distinguished Young Scholars and the Hundred Talents Program of the Chinese Academy of Sciences. He also serves as an expert of the State Key R&D Program of China, the Vice Chairman of the Wind Power Committee of the Chinese Renewable Energy Society, the Vice Chair of the New Energy Technologies Subcommittee of the IEEE PES, and an Associate Editor of the journal Renewable Energy. His research interests include flow control and innovative design of large wind turbine blades, high-reliability wind turbine generator design, and smart wind farms. Prof. Zhang has led many national and international research projects, including the 863 Program, the Key R&D Program, and the NSFC grants. He has published over 210 papers in top-tier journals and conferences, including over 60 SCI-indexed papers, and holds more than 20 patents. He has received numerous awards and honors, such as the AIAA Young Scholar Award, the Excellent Award of the Hundred Talents Program Final Review, the Second Prize of the National Energy Science and Technology Progress Award, the Second Prize of the Contribution to Science and Technology Award of the Chinese Academy of Sciences, the First Prize of the China Energy Innovation Award, the Second Prize of the Beijing Science and Technology Award, the Second Prize of the China Electric Power Technology Progress Award, the Wu Zhonghua Excellent Young Scholar Award, and the Science and Technology Person of the Year Award of the Chinese Renewable Energy Society.

Deyou Yang

Harbin University of Science and Technology, China

BIO: Prof. Deyou Yang received his M.S. in Electrical Engineering from Northeast Electric Power University in 2009 and received his Ph.D. in Electrical Engineering from North China Electric Power University in 2014. His research focuses on the operation, analysis, and control of new-type power system. He is a high-level talent in Heilongjiang Province, an outstanding innovative talent in Jilin Province, and a young top talent with significant contributions in Jilin City. He was awarded the one first prize and one second prize in provincial scientific and technological progress awards, respectively. As the project leader, he has completed 2 NSFC projects and 1 sub-subject of National Key R&D Project. He authored and coauthored more than fifty peer-reviewed publications in journals. Prof. Yang is the youth editorial board member of the Electric Power Construction, Integrated Intelligent Energy and Electric Power Information and Communication Technology.

Jingsong Li

Dalian University of Technology, China

BIO: Jingsong Li, male, Doctor of Engineering, Associate Professor, works in School of Electrical Engineering, Dalian University of Technology. He is a member of the 9th Committee of the Electromagnetic Measurement Information Processing Instrument Branch of China Instrumentation Society, a Young Expert of Shandong Province Science and Technology Expert Database, Vice President of Science and Technology (temporary) and deputy director of R&D center of Lute Electric Co., LTD, and Postdoctoral Fellow from Tsinghua University, Beijing, China, during 2017-2019.

He is mainly engaged in the research of renewable energy storage grid-connected control and advanced manufacturing of electrical equipment. Selected as Outstanding Young Scientific and Technological Talents of Liaoning Province in 2022. He has presided over or completed more than 10 projects (topics) such as the National Natural Science Foundation of China, China Postdoctoral Science Fund, provincial (ministerial), municipal and enterprise cooperation projects, and published more than 20 SCI/EI papers, 3 authorized invention patents, served as the young assistant editor of "Power System Protection and Control", the editorial board member(long appointment review) of "Electrical Measurement & Instrumentation", and the reviewer of "Proceedings of the CSEE", "Transactions of China Electrotechnical Society", "Acta Energiae Solaris Sinica" and other journals.

Yiming Zhang
Fuzhou University, China

BIO: Prof. Yiming Zhang, National High-Level Oversea Youth Talent, “Minjiang Scholar” of Fujian Province, Professor of Fuzhou University, Ph.D. supervisor, IEEE Senior Member. He was recognized as the World's Top 2% Scientist by Elsevier. His research interest is power electronics and wireless power transfer. He has authored one book from Springer and published more than 100 technical papers in renowned journals and conference proceedings. He has an H-index of 39 and has won multiple excellent conference papers including ECCE, EVS, EVCP, and CIEEC. He was recognized as the Outstanding Reviewer for EEE TPEL and TIE. He is the PI of the Excellent Youth Project and Youth Fund from National Natural Science Foundation of China, the Outstanding Youth Project of Fujian Provincial Natural Science Foundation.

Weinan Gao

Northeastern University, China

BIO: Weinan Gao received the Ph.D. degree in Electrical Engineering from New York University, Brooklyn, NY, USA. He is a Professor with the State Key Laboratory of Synthetical Automation for Process Industries at Northeastern University, Shenyang, China. Previously, he was an Assistant Professor of Mechanical and Civil Engineering at Florida Institute of Technology, Melbourne, FL, USA, an Assistant Professor of Electrical and Computer Engineering at Georgia Southern University, Statesboro, GA, USA, and a Visiting Professor of Mitsubishi Electric Research Laboratory (MERL), Cambridge, MA, USA. His research interests include reinforcement learning, adaptive dynamic programming (ADP), optimal control, cooperative adaptive cruise control (CACC), intelligent transportation systems, sampled-data control systems, and output regulation theory. Prof. Gao is the recipient of the best paper award in IEEE Data Driven Control and Learning Systems (DDCLS) Conference in 2023, IEEE International Conference on Real-time Computing and Robotics (RCAR) in 2018 and the David Goodman Research Award at New York University in 2019. He is an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, IEEE/CAA Journal of Automatica Sinica, Control Engineering Practice, Neurocomputing and IEEE Transactions on Circuits and Systems II: Express Briefs, a member of Editorial Board of Neural Computing and Applications, and a Technical Committee member in IEEE Control Systems Society on Nonlinear Systems and Control, IFAC TC 1.2 Adaptive and Learning Systems, and CAAI Industrial Artificial Intelligence.

Yang Lei
Anhui University, China

BIO: Yang Lei received the Ph.D. degree in Electrical Automation and Information Engineering from Tianjin University. He is a lecturer at  at Anhui University, and chairman of the Youth Committee of IEEE PES Hefei Branch. The main research directions include integrated energy system planning and operation, distributed energy and multi energy load scenario generation, intelligent power distribution, etc.