Intelligent Control and Smart Energy Management

lt;b>Maude Blondin is an assistant professor at the Université de Sherbrooke in Canada. She graduated with a Ph.D. in Electrical Engineering from the Université du Québec à Trois-Rivières,  where she obtained the prestigious Vanier Canada Graduate Scholarship. Her doctoral research was on computational intelligence methods and soft computing techniques applied to control engineering. After her Ph.D., Dr. Blondin did postdoctoral research in the mechanical and aerospace engineering department at the University of Florida. She expanded her research interests to multiobjective optimization applied to multiagent control strategies. Her current research is driven by developing distributed multiobjective optimization algorithms based on exploring the Pareto Front, soft computing methods, and swarm intelligence for multiagent systems. These algorithms apply to many applications ranging from energy management to military uses. Dr. Blondin is a Associate Editor of SN Operations Research Forum, has co-edited two contributed books, and served as a reviewers for many recognized journals. She has published over 20 journal and conference articles on control and optimization for engineering applications and is the author of the Springer monograph, Controller tuning Optimization Methods for multi-constraints and non-linear systems. 
João Pedro F. Trovão (SM'17) received the M.Sc. degree and the Ph.D. degree in Electrical Engineering from the University of Coimbra, Coimbra, Portugal, in 2004 and 2013, respectively. From 2000 to 2014, he was a Teaching Assistant and an Assistant Professor with the Polytechnic Institute of Coimbra - Coimbra Institute of Engineering (IPC-ISEC), Portugal. Since 2014, he has been a Professor with the Department of Electrical Engineering and Computer Engineering, University of Sherbrooke, Sherbrooke, QC, Canada, where he holds the Canadian Research Chair position in Efficient Electric Vehicles with Hybridized Energy Storage Systems. He is an author/coauthor of over 150 journal and conference papers. His research interests cover the areas of electric vehicles, hybridized energy storage systems, energy management and rotating electrical machines.  Dr. Trovão was the General Chair of the 2018 IEEE Vehicle Power and Propulsion Conference, Chicago, US. He was a Guest Editor for the Special Issue of IET ELECTRICAL SYSTEMS IN TRANSPORTATION ON ENERGY STORAGE AND ELECTRIC POWER SUB-SYSTEMS FOR ADVANCED VEHICLES. He was a Guest Editor for the Special Issues of IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY ON ELECTRIC POWERTRAINS FOR FUTURE VEHICLES AND ON ADVANCED VEHICLE POWER PROPULSION SYSTEMS. He is a Senior Editor for the Automotive Electronics topic of the IEEE VEHICULAR TECHNOLOGY MAGAZINE.
Hicham Chaoui (S'01-M'12-SM'13) received the Ph.D. degree in electrical engineering (with honors) from the University of Quebec, Trois-Rivières, QC, Canada, in 2011. His career has spanned both academia and industry in the field of control and energy systems. From 2007 to 2014, he held various engineering and management positions in the Canadian industry. He is currently an Associate Professor at Carleton University, Ottawa, ON, Canada and an Affiliate Professor at the University of Quebec, Trois-Rivières, QC, Canada. Prior to that, he was an Assistant Professor at Tennessee Technological University, TN, USA. His research interests include adaptive and nonlinear control theory, intelligent control, robotics, electric motor drives, and energy conversion and storage systems. His scholarly work has resulted in over 150 journal and conference publications. Dr. Chaoui is a senior member of IEEE and a registered professional engineer in the province of Ontario. He is also an Associate Editor of IEEE Transactions on Vehicular Technology, IEEE Transactions on Automation Science and Engineering, and several other journals. Dr. Chaoui is a recipient of the Best Thesis Award and the

Predictive Energy Management for Fuel Cell Hybrid Electric Vehicles (Zhou).- Plug-in Hybrid Electric Buses with Different Battery Chemistries Total Cost of Ownership Planning and Optimization at Fleet Level based on Battery Aging (López-Ibarra).- Stochastic Optimization Methods for the Stochastic Storage Processes Control (Knopov).- Challenges for a Massive Integration of Flexible Resources in LV Networks (Arboleya).- Electrical railway power supply systems for high-speed lines: from traditional grids to smart grids (Castano-Solisr).- Energy-efficient scheduling of intra-terminal container transport (Homayouni).- Learning-based Control for Hybrid Battery Management Systems (Castro).- Robust, Resilient, and Energy Efficient Satellite Formation Control (Phillips).- A Methodology for the Assessment of Efficiency in Systems under Transient Conditions: Case Study for Hybrid Storage Systems in Elevators (García).- A holistic approach to the energy-efficient smoothing of traffic via autonomous vehicles (Hayat).- Optimal energy management of electric vehicles supplied by battery and supercapacitors: A multi-objective approach (Nguyen).- Transient Stability and Protection Evaluation of Distribution Systems with Distributed Energy Resources (Morais).- Fuzzy Logic Control for Motor Drive Performance Improvement in EV Applications (C. Ta).