Mohamed Benbouzid received his Ph.D. in electrical engineering from the Institut National Polytechnique de Grenoble, Grenoble, France, in 1994, and the Habilitation à Diriger des Recherches degree from the University of Amiens, Amiens, France, in 2000. Following the completion of his Ph.D., he served as an Associate Professor of electrical engineering at the University of Amiens, Amiens, France. Since September 2004, he has been with the University of Brest, Brest, France, where he is a Full Professor of electrical engineering. Prof. Benbouzid is also a Distinguished Professor at the Shanghai Maritime University, Shanghai, China. Prof. Benbouzid research interests and experience are primarily focused on electromechanical systems, including traction, propulsion, and renewable energy applications, with a particular emphasis on fault diagnosis, fault prognosis, and fault-tolerant control. Prof. Benbouzid is an IEEE Fellow and a Fellow of the IET. He is the Editor-in-Chief of the International Journal on Energy Conversion and the Applied Sciences (MDPI) Section on Electrical, Electronics and Communications Engineering. He is a Deputy Editor for the IET Renewable Power Generation.
Hiroyuki Mori received the B.Sc., M.Sc., and Ph.D. degrees, all in Electrical Engineering, from Waseda University, Tokyo, Japan, in 1979, 1981, and 1985, respectively. From 1984 to 1985 he was a Research Associate at Waseda University. In 1985, he joined the Dept. of Electrical Engineering at Meiji University (MU), Japan. In 1995, he became a Professor at Dept. of Electrical Engineering and is now a Professor at Dept. of Network Design of MU since 2013. From 1997 to 2002, he was Division Director of Evolutionary Learning Systems at MU High Technology Research Center for Artificial Life. From April 2005 to March 2010, he was appointed Director of MU High Technology Research Center for Sustainable Energy & Materials. He was a Visiting Associate Professor from March 1994 to May 1995, a Visiting Professor from April 2017 to March 2018, and a Visitor from June 2022 to October 2022 at Cornell University, Ithaca, NY, USA. He was the Technical Committee Chair of IEEE ANNPS1993 in Yokohama, Japan, and IEEE CAS Technical Committee Chair on Power Systems and Power Electronics from June 1993 to May 1994. Also, he was General Chair of IEEE PES ISAP2013 in Tokyo, Japan, and IFAC (International Federation of Automatic Control) CPES2018 in Tokyo, Japan. He was Chair of the IEEE PES Analytic Methods for Power Systems Committee (AMPS) Intelligent Systems Subcommittee (ISS) from January 2020 to December 2022 and Secretary of the IEEE PES AMPS ISS Working Group on Open Data and IFAC TC6.3. He has been an IEEJ Fellow since 2019, an IEEJ Professional since 2021, and received the Working Group Recognition Award (Modern Heuristics Optimization) in 2022, IEEE PES AMPS Subcommittee Chair Recognition Award in 2023, an IEEJ Outstanding Achievement Award in 2024. His research interests are power system operation and planning, active distribution automation, and intelligent systems applications (Deep Neural Networks, Evolutionary Computation, Fuzzy Logic, Data Mining). He is a member of IEEJ, IEEE, SIAM, and ACM.
Michael Negnevitsky is Chair in Power Engineering and Computational Intelligence and Director of the Centre for Renewable Energy and Power Systems, University of Tasmania, Australia. The primary focus of his research is smart grids, power system security, demand response, and isolated and remote area power systems with high renewable energy penetration. Professor Negnevitsky authorised more than 500 research publications and received 4 patents for inventions. He is Fellow of lEEE, Fellow of Engineers Australia. Professor Negnevitsky is Chair of the lEEE PES Working Group on High Renewable Energy Penetration in Remote and lsolated Power Systems, Chair of the lEEE PES Working Group on Asian and Australasian Infrastructure Smart Grids with Large Penetration of Renewable Energy, Member of CIGRE AP C4 (System Technical Performance) and ClGRE AP C6 (Distribution Systems and Dispersed Generation), Australian Technical Committee.