Prof. Guoqiang Zhang, Harbin Institute of Technology (HIT), China (IEEE Senior Member)

Biography: Prof. Guoqiang Zhang currently serves as a Professor and Doctoral Advisor, holding the distinction of IEEE Senior Member. His research focuses on high-performance AC motor drives, including position sensorless control, efficiency optimization, and electrolytic capacitor-less drives. To date, he has authored four English monographs published by Springer (serving as Lead Editor for one and co-author for three). He has published over 100 high-impact academic papers and holds more than 40 authorized invention patents. Prof. Zhang is an Associate Editor for IEEE Transactions on Energy Conversion and serves on the PCIM Asia Technical Committee.

Prof. Di Huang, Beihang University, China (IEEE Senior Member)

Biography: Di Huang is currently a Professor of School of Computer Science and Engineering, Beihang University. His research interests include computer vision, representation learning, robotics, etc. He has published 100+ papers in the major academic journals and confer-ences such as IEEE-TPAMI, IJCV, CVPR, ICCV, ECCV, with 15,000+ citations and H-index 58. He has been among the top 2% world-wide AI scientist list since it was released in 2019 (by Stanford University and Elsevier). He was awarded the Best Paper at CCBR 2016 and AMFG 2017, the Best Student Paper at CCBR 2017, the Best Poster Paper at ICB 2016, and the Honorable Mention for Best Student Paper at FG 2024. He was the winner of the Affect Recognition Challenge of AVEC at MM 2013 and the OCRTOC track in Robotic Grasping and Manipulation Competitions at ICRA 2022. He served as an Associate Editor for IEEE-TIFS and IEEE-TAFFC, a Guest Editor for ACM-TOMM, a Program Chair for FG 2027, an Area Chair/Senior PC Member for CVPR 2022/2024-2026, ECCV 2022/2026, MM 2019-2023, IJCAI 2021/2025, WACV 2024-2026, ICPR 2020/2024, IJCB 2021/2023-2025, ICMI 2021, ACII 2019-2023, and a Publicity Chair for FG 2019, IJCB 2020, and FG 2023.

Assoc. Prof. Abu Zaharin Ahmad, Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA), Malaysia

Biography: Abu Zaharin received B.S. and M.S. degrees in electrical engineering from the University Technology MARA, Malaysia, and a Ph.D degree in electrical engineering from Chiba University, Japan, in 2001, 2004, and 2011, respectively. He was an electrical and instrumentation engineer at the Perwaja steel plant in Kemaman, Malaysia, before joining Universiti Malaysia Pahang Al-Sultan Abdullah as a lecturer in 2005. He is now an associate professor at the same University. He has authored and co-authored more than 50 papers in peer-reviewed journals. He has supervised more than 10 post-graduate students. He has conducted extensive research on control of power systems, power electronics, and smart/microgrid systems through various local research grants. His current research focus is on optimizing energy management in multiple energy systems.

Ttile: Energy Management System for Grid-Connected Microgrids with Deep Reinforcement Learning (DRL)
Abstract: Microgrid operation has greatly increased recently. To address the problems of high grid absorption pressure and high microgrid operating costs caused by the intermittency and fluctuations of renewable energy from wind and photovoltaic power generation, this study proposes a deep reinforcement learning (DRL)-based coordinated control approach for wind-PV-energy-storage in a microgrid. The talk will present and discuss the design for employing DRL in an energy management strategy across multiple energy sources. The study's outcome will be presented and discussed based on the analysis conducted.

Prof. Lingfeng Shi, Xidian University, China

Biography: Ling-Feng Shi (M’18-SM’19) received the B. S. degree in electronic engineering from Jiliang University of China, Hangzhou, China, in 1995 and both the M. S. degree and Ph. D in electronic engineering from Xidian University, Xi’an, China, in 2003 and 2008 respectively. He is a professor as the School of Electronical Engineering, Xidian University, China. He is currently engaged in research on navigation and position, wireless communication, high-speed circuit design, power electronic system design, electronic system integrated design, and signal integrity analysis. He has authored more than 100 journal papers (including more than 20 in IEEE) and 20 international conference papers, 19 national authorized invention patents, 1 authorized utility model, 6 national invention patents applied, 2 invention patents transferred. He has 2 textbooks and 1 academic work in English. He has won 2 second prize of provincial and ministerial science and technology progress award and 1 Outstanding teacher award in Xidian University.

Ttile: Indoor Positioning Technology Based on Smartphones
Abstract: Discuss the use of smartphones for navigation and positioning of indoor personnel, robots, drones, etc. in response to indoor navigation and positioning issues. Using the carrier of smartphones, pedestrian trajectory calculation, WIFI, Bluetooth, artificial intelligence and cloud computing technologies are used for indoor positioning or navigation, exploring solutions for indoor intelligent navigation. The main content of the report starts from the background significance of indoor positioning and the characteristics of artificial intelligence, and discusses the indoor positioning methods and development directions of multiple carriers such as personnel, robots, and drones.