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The Intelligent Power and Energy Management Lab (IPEM) at Wake Forest University seeks to develop solutions for optimal planning and operation related to transportation electrification, multicarrier Systems, energy storage, renewable energy integration, and smart grid.
Dr. Abdeltawab received his Ph.D. in electrical and computer engineering from the University of Alberta, Canada, in 2017. He worked as a design engineer with different Canadian energy consulting companies, where he participated in more than 50 projects. He is a licensed Professional Engineer in Canada with four years of industrial experience. He joined Penn State as an Assistant Professor in 2020, and Now he is an Assistant Professor of Electrical Engineering at Wake Forest University.
Dr. Abdeltawab received his Ph.D. in electrical and computer engineering from the University of Alberta, Canada, in 2017. He worked as a design engineer with different Canadian energy consulting companies, where he participated in more than 50 projects. He is a licensed Professional Engineer in Canada with four years of industrial experience. He joined Penn State as an Assistant Professor in 2020, and Now he is an Assistant Professor of Electrical Engineering at Wake Forest University.
Dr. Abdeltawab is the PI of the Intelligent Power and Energy Management Lab (IPEM). He is also the Chair of the IEEE Winston-Salem Chapter. Further, he is a senior Member of the IEEE and the Associate Editor of the IET Generation, Transmission & Distribution (GTD) Journal. His research interests include artificial intelligence, Deep learning, and optimization with applications related to Transportation Electrification, Multicarrier Systems, energy storage, renewable energy integration, and power system planning.
Dr. Abdeltawab is the PI of the Intelligent Power and Energy Management Lab (IPEM). He is also the Chair of the IEEE Winston-Salem Chapter. Further, he is a senior Member of the IEEE and the Associate Editor of the IET Generation, Transmission & Distribution (GTD) Journal. His research interests include artificial intelligence, Deep learning, and optimization with applications related to Transportation Electrification, Multicarrier Systems, energy storage, renewable energy integration, and power system planning.