Nguyen Phi Long received the B.Sc. and M.Sc. degrees in electrical engineer- ing from Hanoi University of Science and Tech- nology, Vietnam, and the Ph.D. degree in plasma science and applied physics from Kanazawa Uni- versity, Japan. He is currently a Research Fellow at VinUniversity and a Lecturer at Hanoi University of Industry. He is an Interdisciplinary Researcher specializing in optimization and deep reinforcement learning for sustainable energy systems and smart electric vehicle (EV) charging infrastructures. His current research focuses on DRL-based optimization, game-theoretic resource allocation, and data-driven operation of EV charging networks integrated with renewable energy and battery energy storage systems. He was a Postdoctoral Fellow of Japan Atomic Energy Agency, where he worked on advanced modeling and high-power laser technologies.

Do Danh Cuong obtained a BS in electronics from the Vietnam National University, Hanoi, in 2004. He received MEng in Electronics and Semiconductor from Chungbuk National University, Korea, in 2007 and his PhD in Electronics Engineering from Cork Institute of Technology, Ireland, in 2012. His PhD dissertation focuses on the development of adaptive control methods for improving the performance and reliability of MEMS switches. The work is in collaboration with Analog Devices Inc. From 2013 to 2017, Dr. Cuong was a research associate in the Engineering Department, University of Cambridge. In Cambridge, he combined both pieces of knowledge in MEMS and CMOS fields to develop an ultra-low power, high sensitive strain sensor in Cambridge. Based on this work, two industrial fundings from IHI Corp., Japan, and 8Power Ltd., UK were secured. He also led a group of graduate students in their work on projects such as energy harvester systems, MEMS nonlinearity, and wireless sensor networks.

Nguyen Van Cuong received the B.S. and M.S. degrees from Hanoi University of Industry, in 2020 and 2022, respectively. He is currently pursuing the Ph.D. degree in computer science with VinUniversity. He is a Lecturer with Hanoi University of Industry. His research interests include wireless communications, smart electric vehicle charging, energy-efficient wireless networks, optimization, metaheuristic algorithms, and deep learning.

Nguyen Tuan Anh is a Research Assistant at VinUniversity and a final-year MSc student in Electrical Engineering at the School of Electrical and Electronic Engineering, Hanoi University of Science and Technology (HUST), Vietnam. Tuan Anh’s research interests include renewable energy, power systems, and electric vehicles.

Tran Kim Nhat received his degree from the Danang University of Science and Technology, Vietnam. He is currently a Research Assistant at the Center for Environmental Intelligence (CEI). His research interests include engineering, environmental intelligence, and data-driven solutions for sustainable systems.

Laurent El Ghaoui obtained his PhD at Stanford University in 1990, and held appointments at the Ecole National Superieure de Techniques Avancees (ENSTA, now part of Institut Polytechnique de Paris) and University de Paris La Sorbonne. In 1999, he joined the EECS department at UC Berkeley, where he became full professor, with appointments in IEOR and the Haas Business School. An expert in optimization and machine learning, he co-authored several books (including “Financial data Science” with Cambridge University Press) and more than a hundred of publications, with more than 60,000 citations on Google Scholar. In 2022, he joined VinUniversity in Vietnam, as Vice-Provost of Research and Innovation and Dean of Engineering and Computer Sciences. Laurent is also a co-founder of Kayrros SAS, which develops environmental intelligence solutions.

Stephen P. Boyd is an American professor and control theorist. He is the Samsung Professor of Engineering, Professor in Electrical Engineering, and professor by courtesy in Computer Science and Management Science & Engineering at Stanford University. He is also affiliated with Stanford's Institute for Computational and Mathematical Engineering (ICME). His research interests include convex optimization, especially applications in control, signal processing, machine learning, and finance. His PhD dissertation was on Volterra series descriptions of nonlinear circuits and devices. His primary focus then turned to automatic control systems, where he focused on applying convex optimization, specifically linear matrix inequalities (LMIs), to a variety of control system analysis and synthesis problems.

Van-Hai Bui received his B.S. degree in Electrical Engineering from Hanoi University of Science and Technology, Vietnam, in 2013, and his Ph.D. degree in Electrical Engineering from Incheon National University, South Korea, in 2020. He was an Assistant Professor at the Department of Electrical Engineering, State University of New York (SUNY), Maritime College, USA, from 2022 to 2023. Since August 2023, he has been appointed as an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Michigan-Dearborn, USA. His research interests include energy management systems, applications of machine learning in smart grids, and operation & amp, control of power and energy systems.

Giuseppe Carlo Calafiore received his Laurea degree in Electrical Engineering from Politecnico di Torino, Italy, in 1993, and his Ph.D. degree in Information and System Theory from the same university in 1997. Since 1998, he has been with the Department of Control and Computer Engineering at Politecnico di Torino, where he is currently a Full Professor. He has held visiting positions at several international institutions, including Stanford University, ENSTA Paris, the University of California at Berkeley, and UCLA. He has also served as an Associate Editor for IEEE Transactions on Systems, Man, and Cybernetics and IEEE Transactions on Automation Science and Engineering. His research interests include convex optimization, randomized algorithms, system identification, uncertain systems, robust control, pattern recognition, robotics, and applications in finance and economic systems.

Nguyen Gia Minh Thao earned a B.Eng. (honors) degree in Electrical & Electronic Engineering from Ho Chi Minh City University of Tech. (HCMUT) in 2009, and a Dr.Eng. degree in Intelligent Control from Waseda University, Japan in 2015. From 2010 to 2012, he was a Lecturer at HCMUT. From 2015 to 2020, he was a Postdoc Fellow at Waseda University and Toyota Tech. From 2020 to 2023, he was an Asst. Professor at Nagoya University and Toyota Tech. From 2023, he is an Assoc. Professor and PI at Shimane University, Japan.