ACEEE 2025 KEYNOTE SPEAKER I
Life Fellow, IEEE
Prof. Loi Lei Lai, Guangdong University of Technology, Guangzhou, China
Loi Lei Lai (Life Fellow, IEEE) received the B.Sc. (First-Class Hons.) and Ph.D. degrees in electrical and electronic engineering from the University of Aston, Birmingham, U.K., in 1980 and 1984, respectively, and the D.Sc. degree in electrical and electronic engineering from the City, University of London, London, U.K., in 2005. He is currently a University Distinguished Professor with the Guangdong University of Technology, Guangzhou, China. He was a Pao Yue Kong Chair Professor with Zhejiang University, Hangzhou, China, and the Professor and the Chair of Electrical Engineering with the City, University of London. His current research areas are in smart cities and smart grid. He was awarded an IEEE Third Millennium Medal, the IEEE Power and Energy Society (IEEE/PES) UKRI Power Chapter Outstanding Engineer Award in 2000, a Special Award from the City, University of London in 2005 and is its honorary graduate, the IEEE/PES Energy Development and Power Generation Committee Prize Paper in 2006 and 2009, the IEEE/SMCS Outstanding Contribution Award in 2013 and 2014, the Most Active Technical Committee Award in 2016, and his research team received a Best Paper Award in the IEEE International Smart Cities Conference in October 2020. He is an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics: Systems, the Editor-in-Chief of the IEEE Smart Cities Newsletter, a member of the IEEE Smart Cities Steering Committee, and the Chair of the IEEE Systems, Man, and Cybernetics Society (IEEE/SMCS) Standards Committee. He was a member of the IEEE Smart Grid Steering Committee; the Director of the Research and Development Center, State Grid Energy Research Institute, China; a Vice President for Membership and Student Activities with IEEE/SMCS; a Fellow Committee Evaluator for the IEEE Industrial Electronics Society; and an IEEE PES Lifetime Achievement Award Assessment Committee Member. He is a Fellow of IET.
ACEEE 2025 KEYNOTE SPEAKER II
Fellow, IEEE
Prof. Kai Sun, University of Tennessee, USA
Prof. Sun received his B.S. in Automation (1999) and Ph.D. in Control Science & Engineering (2004) both from Tsinghua University, Beijing. Before joining UTK, he was a Project Manager with the Electric Power Research Institute (EPRI) in Palo Alto, CA for R&D programs in Grid Operations and Planning from 2007 to 2012. He conducted postdoctoral studies at Arizona State University in 2006-2007 and the University of Western Ontario in 2005. He was a visiting scholar at Harvard University in 2019-2020. Prof. Sun is a recipient of 2016 NSF CAREER award, a faculty Member of NSF/DOE engineering research center CURENT, and an IEEE Fellow.
ACEEE 2025 KEYNOTE SPEAKER III
Prof. Yang Han, University of Electronic Science and Technology of China (UESTC), China
Yang Han (S’08-M’10-SM’17) received the Ph.D. degree in Electrical Engineering from Shanghai Jiaotong University (SJTU), Shanghai, China, in 2010. In 2010, he joined the University of Electronic Science and Technology of China (UESTC), Chengdu, China, where he has been an Associate Professor in 2013, and Full professor in 2021. From March 2014 to March 2015, he was a Visiting Scholar with the Department of Energy Technology, Aalborg University, Aalborg, Denmark. He is currently with the School of Mechanical and Electrical Engineering, UESTC. His research interests include the ac/dc microgrids, active distribution networks, power quality, grid-connected converters for renewable energy systems, active power filters, multilevel converters, and static synchronous compensators (STATCOMs).
Dr. Han has received several national and provincial projects, and more than 30 industrial projects in the area of power electronics, smart grid, microgrid, and power quality analysis and compensation. He holds more than 40 issued and pending patents. Dr. Han was listed as “World’s Top 2% Scientist 2022” by Stanford University in 2022, and the recipient of the Young Scientist Award in CPESE 2021, the Provincial Science and Technology Award in 2020 and 2022, Science and Technology Award from Sichuan Electric Power Company in 2019, Academic Talent Award by UESTC, in 2017, Baekhyun Award by the Korean Institute of Power Electronics, in 2016. He has published a book “Modeling and Control of Power Electronic Converters for Microgrid Applications”, ISBN: 978-3-030-74512-7, Springer. He served as an Associate Editor of Journal of Power Electronics and IEEE ACCESS (2019-2020).
ACEEE 2025 KEYNOTE SPEAKER IV
Fellow IET (FIET)
Prof.Hossam A. Gabbar, Ontario Tech University, Canada
Dr. Gabbar is a full Professor in the Department of Energy and Nuclear Engineering, the Faculty of Engineering and Applied Science, at Ontario Tech University (UOIT), where he has established the Energy Safety and Control Lab (ESCL), Smart Energy Systems Lab, and Advanced Plasma Engineering Lab. He is the recipient of the Senior Research Excellence Aware for 2016, UOIT. He is recognized among the top 2% of worldwide scientists with high citation in the area of energy. He is a Fellow IET (FIET) and a Distinguished Lecturer – IEEE NPSS on Nuclear-Renewable Hybrid Energy Systems and Plasma-based Waste-to-Energy. He is leading national and international research in the areas of smart energy grids, energy safety and control systems, and waste-to-energy using advanced plasma technologies. Dr. Gabbar obtained his B.Sc. degree in 1988 with first class of honor from the Faculty of Engineering, Alexandria University (Egypt). In 2001, he obtained his Ph.D. degree from Okayama University (Japan). From 2001 till 2004, he joined Tokyo Institute of Technology (Japan), as a research associate. From 2004 till 2008, he joined Okayama University (Japan) as an Associate Professor, in the Division of Industrial Innovation Sciences. From 2007 till 2008, he was a Visiting Professor at the University of Toronto. He also worked as process control, safety, and automation specialist in energy and oil & gas industries. Dr. Gabbar has more than 290 publications, including patents, books / chapters, journal and conference papers.
Speech Title: Resilient Hybrid Energy and Transportation Infrastructures
Abstract: This talk will present development strategies of hybrid energy systems and transportation charging stations and their integration witihn energy and transportation infrastructures. The design and control strategies of hybrid energy systems and integrations with fast charging stations will be presented with hybrid energy storage. Modeling and simulation approaches will be discussed and utilized in case studies. Hardware-in-the-loop and real time simulation are used to evaluate the proposed design and implementation scenarios. Integrated nuclear-renewable hybrid energy systems using Small Modular Reactor (SMR) or Micro Modular Reactor (MMR) wihitn micro energy grids are used to achieve resilient energy supply within charging stations. Intergation betweeen hyrdogen and fuel cell systems are demonstrated to achieve hybrid charging stations and support the transition to clean transportation. Transactive mobility will be discussed to support the deployment of charging stations within energy and transportation infrastructures, as integrated with community applications in city, urban, and remote communities. Performance measures are modeled and evaluated for different design and operation strategies. Resiliency and performance measures will be discussed in view of number of operation and control strategies to meet user requirements.
ACEEE 2025 KEYNOTE SPEAKER V
Prof. Hongchun Wu, Xi’an Jiaotong University, China
Wu Hongchun, a professor of Xi'an Jiaotong University. He is mainly engaged in the research on neutron transport theory and physical analysis of nuclear reactor cores. He has presided over and completed more than 10 major and key scientific research projects, such as the 973 Project, the 863 Project, key projects of the National Natural Science Foundation, and national nuclear energy development projects. The series of software for nuclear reactor core analysis independently developed by him has been successfully applied to major national projects, effectively ensuring the major needs of the localization of nuclear power. He has won the Second Prize of the National Technological Invention Award, the First Prize of the Technological Invention Award of the China Nuclear Energy Industry Association, the First Prize of the Science and Technology Award of Shaanxi Province, the Second Prize of the National Teaching Achievement Award, etc. He has published more than 300 SCI papers, been authorized with more than 100 national invention patents, and obtained more than 70 software copyrights.
Speech Title: Research of Physics Analysis and Development of Design Software for Nuclear Reactor
Abstract: With the progress of humanity, conventional fossil energy can no longer meet the requirements, so there is an urgent need to find new green alternative energy sources. Among them, nuclear energy has great advantages. The nuclear reactor is the heart of nuclear energy, and reactor physical analysis is the soul of reactor design and operation. The number of nuclear power units in China already ranks at the international leading position, and more than 90% of the main equipment has been localized. However, the software for physical analysis of the reactor core still relies on imports. Therefore, the technology and software for physical analysis of nuclear reactor cores have become a "bottleneck" problem in the construction of China into a nuclear energy powerhouse. This report analyzes the technical difficulties of physical analysis of advanced nuclear reactors. Starting from basic theoretical research, it has achieved technological breakthroughs in aspects such as the creation of nuclear databases for complex nuclides with a wide energy spectrum, the neutronics analysis of reactors with complex structures, and efficient calculation techniques for large-scale problems. It has also independently developed a series of reactor physical analysis software that meets engineering requirements, which has been successfully applied to major nuclear energy engineering projects in China. It has achieved full autonomy from nuclear data to analysis methods and then to engineering applications, and realized the self-control of core technologies.