Seyed Masoud Mohseni-Bonab (Senior Member, IEEE) received a Ph.D. degree from Université Laval, Québec, Canada in 2020. He has been a Research Scientist with the Hydro-Quebec Research Institute (IREQ) since 2019, specializing in operation, security, and economy of power systems and smart grids, along with integrating renewable energy resources and optimization methods. He is an Adjunct Professor with Université Laval. His contributions to the field have been recognized with several awards, including the 2019 IET Generation, Transmission and Distribution Premium Award and the 2024 IEEE PES Technical Committee Working Group Recognition Award for an Outstanding Technical Report. He also serves as an Associate Editor of Electric Power Systems Research (EPSR) and the Journal of Modern Power System and Clean Energy (MPCE).
Innocent Kamwa obtained a Ph.D. in Electrical Engineering from Université Laval in 1989. A fellow of the Canadian Academy of Engineering and an International Member of the US National Academy of Engineering, he is currently a full professor in the Department of Electrical Engineering and Tier 1 Canada Research Chair in Decentralized Sustainable Electricity Grids for Smart Communities. Previously a researcher at the Hydro-Québec Research Institute, he was the principal scientist of Hydro-Québec’s Smart Grid Innovation Program and Head of Power Systems and Mathematics, directing the Network Simulation Laboratory. An international consultant in simulation and stability of power systems, he is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) for contributions to adaptive power grid control schemes and synchronous generator testing and standards. He is the recipient of six IEEE PES best paper prize awards, five IEEE PES outstanding working group awards, the IEEE Charles-Proteus-Steinmetz prize, and IEEE Power and Energy Society’s Charles Concordia Power Systems Engineering prize. His research interests include the production, storage, transmission, and distribution of electrical energy, smart, decentralized, and sustainable electrical networks, modeling and simulation of electrical machines, and applications of machine learning and signal processing to power grid control and operation.
