Keynote Speakers
Prof. Saad Mekhilef
Swinburne University of Technology, Australia and Universiti Malaya, Malaysia
Speech Title: TBA
Abstract: TBA
Bio: Prof. Dr. Saad Mekhilef is an IEEE and
IET Fellow. He is a Distinguished Professor at the School of Science, Computing
and Engineering Technologies, Swinburne University of Technology, Melbourne,
Australia, an Honorary Professor at the Department of Electrical Engineering,
University of Malaya, and a distinguished visiting professor at the Institute of
Sustainable Energy, Universiti Tenaga Nasional, Malaysia. He authored and
co-authored more than 800 publications in academic journals and proceedings,
five books with more than 61,000 citations, an H-index of 117, and more than 85
Ph.D. students who graduated under his supervision. He serves as an editorial
board member for many top journals, such as IEEE Transactions on Power
Electronics, IEEE Open Journal of Industrial Electronics, IET Renewable Power
Generation, E-Prime, Journal of Power Electronics, and International Journal of
Circuit Theory and Applications.
Prof. Mekhilef has been listed by Thomson Reuters (Clarivate Analytics) as one
of the world's Highly Cited (World's Top 1%) engineering researchers. He is also
listed in the world's top 2 % of scientists by Stanford University, USA. He is
actively involved in industrial consultancy for major corporations in Power
Electronics and Renewable Energy projects. His research interests include Power
Conversion Techniques, Control of Power Converters, Maximum Power Point Tracking
(MPPT), Renewable Energy, and Energy Efficiency.
Prof. Yun Wang
University of California, USA
Speech Title: Advance Next-generation Automobile Fuel Cell Technology through Multiphysics and AI modeling
Abstract: Proton exchange membrane (PEM) fuel cells can play a pivotal role in electrification of our transport sector due to their high efficiency (a peak efficiency as high as 70%), low-temperature (~80 oC) operation, and low emissions. PEM fuel cell operation involves multiphysics transport and electrochemical reactions, which are crucial to fuel cell operation. Multiphysics modeling and artificial intelligence (AI) have demonstrated significant efficacy in fuel cell research and development (R&D) for material innovation and operational optimization. In this talk, I will review the main physics in fuel cells for modeling, including two-phase transport [1], ice formation [2], heat transfer [3], and electrochemical reaction variation [4]; and explores AI methods to advance fuel cell R&D, including artificial neural networks (ANNs), convolutional neural networks (CNNs), generative AI, support vector machines (SVMs), and genetic algorithms (GAs) [5]. Future R&D directions for next-generation highly effective automobile fuel cells are discussed.
Bio: Yun Wang received his B.S. and M.S. degrees in Mechanics and Engineering Science from Peking University in 1998 and 2001, respectively. He went to the Pennsylvania State University where he earned his Ph.D degree in Mechanical Engineering in 2006. Dr. Wang joined the Mechanical and Aerospace Engineering department at the University of California, Irvine in 2006. He has produced over 130 publications in PEM fuel cell, Li-air battery, and other energy systems, including four books on PEM Fuel Cell and Thermal Fluid Science. Dr. Wang served as Track chair/co-chair, session chair/co-chair, conference chair and committee member for many international conferences on fuel cell, thermal energy, and machine learning. Dr. Wang is currently Professor at the UC Irvine, ASME fellow, RSC fellow, and associate editor for the journal of heat and mass transfer.
Dr. Dengke Gao
Shanghai KeLiang Information Technology Co., Ltd.
Speech Title: Innovative Practice in Oscillation Prediction and Suppression for New-Type Power Systems Based on Frequency Domain Analysis
Abstract: The dual-high characteristics of the new-type power systems have led to increasingly prominent oscillation problems in different frequency bands, seriously affecting the safe and stable operation of the system and reliable consumption of new energy. On the basis of analyzing the limitations of existing methods, this report introduces system level frequency domain modeling and stability analysis method, as well as solutions for predicting and suppressing oscillation problems resulting from it. Oscillation prediction and suppression process is shown through examples of single machine and system frequency domain modeling analysis and time domain modeling simulation interactive verification. Innovative practice of SimuNPS,
a new-type power systems modeling and simulation software, in solving
oscillation problems based on frequency domain analysis is presented from three
levels: station, cluster, and system.
Bio: Dr. Dengke Gao received his doctorate from Shanghai Jiao Tong University. Upon graduation, he joined Shanghai KeLiang Information Technology Co., Ltd., focusing on frequency domain analysis and simulation modeling of new-type power systems. He has been awarded the Grand Prize for Scientific and Technological Progress from the Chinese Society of Naval Architects and Marine Engineers, as well as the Second Prize for Scientific and Technological Progress from the China Electrotechnical Society. Currently, Dr. Gao serves as a member of the Information Power Supply System Technical Committee of the China Power Supply Society. To date, he has led 3 standards, participated in 4 standards, published more than 20 papers, and been granted 8 invention patents.
to be announced soon.......
