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.
Speech Title: Machine Learning for Smart Cities
Abstract: This talk covers some important topics associated with machine learning research and application to systems such as microgrid control & management, health, mobility and education. To achieve net-zero emissions by 2050/2060, and mitigate global warming, people need to promote sustainability and adopt renewables. Smart energy network control, operation, management, and planning will play a key role in a carbon-neutral society. Major environmental, economic, and technological challenges such as climate change, economic restructuring, pressure on public finances, cyber security, digitalization of the retail and entertainment industries, and growth of urban and ageing populations have generated huge interest for cities to be run differently and smartly. There is a consideration in urban air mobility to provide service for inter- or intra-urban transport in alleviating environmental problems, due to the use of electric vertical take-off and landing aircraft. Also, there is study in an energy efficient memristive sequence network for human emotion classification in mental health monitoring. Some current international research and development activities will be reported, future directions and the importance of various readiness levels will be discussed.
ACEEE 2025 KEYNOTE SPEAKER II
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 III
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 IV
Prof. Ronggang Ni, Qingdao University, China
Ronggang Ni received the B.S., M.S. and Ph.D. degrees from Harbin Institute of Technology, Harbin, China, in 2010, 2012 and 2017, respectively, all in electrical engineering. From 2015 to 2016, he was a visiting scholar at Aalborg University, Denmark. In 2017, he was with the Shanghai STEP Electric Corporation, Shanghai, China. From 2018, he has been with Qingdao University, Qingdao, China, and currently a full professor and the vice dean of the School of Electrical Engineering. His research interests include electric machine design and drive. Dr. Ni is a senior member of IEEE, and member of IEEE VTS VPP committee. He is PI of several projects granted by National Science Foundation of China and Shandong Province, and the leader of Shandong Provincial Innovation Team on new energy transportation and electric drive. He has authored and coauthored more than 30 technical papers and holds 13 patents. He was awarded the First Prize of Technological Invention of the Shandong Association of Automation, and the Second Prize of Science and Technology Advancement of Qingdao City.
Speech Title: Sensorless Control of PMSM using Single Current Sampling
Abstract: In the realm of AC variable frequency drive systems, Permanent Magnet Synchronous Machines (PMSMs) are highly favored for their remarkable efficiency, high power density, and uncomplicated mechanical structure. Motor systems consume nearly half of the world's electricity, and in the industrial and home appliance Fields, motor energy consumption accounts for the majority. The technology of single current sampling and position sensorless control can simplify hardware, reduce costs and improve efficiency, which is a research direction that has attracted attention in recent years. Position sensorless control of PMSMs offers notable advantages in enhancing reliability and reducing system cost. However, the reliability of position sensorless control, particularly at low speeds, is impacted by the distortion of applied voltage and reconstruction error of phase current caused by the unmeasurable regions when using single DC current sampling.
This report presents the state-of-the-art of phase current reconstruction techniques using single DC current sensor along with position sensorless control. Additionally, it proposes the GINFORM (Generalized INdirect Flux detection by Online Reactance Measurement) method to minimize the negative impact of unmeasurable regions and enhance control reliability. Furthermore, a variable carrier frequency modulation strategy is introduced to improve the current loop bandwidth and dynamic performance. The report provides experimental results from a 2.2kW PMSM platform to validate the effectiveness of the proposed GINFORM method under single current sampling. It also demonstrates the higher current loop bandwidth and better dynamic performance achieved with the variable carrier frequency modulation strategy compared to conventional methods.