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Vladimir Dvorkin is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan. His research focuses on addressing grand challenges in modern power grids through the use of power engineering, operations research, and machine learning. He leads the ⏻ptiML group, which develops analytic models that combine mathematical optimization with machine learning to support grid operations and electricity markets under uncertainty. Dvorkin's work particularly emphasizes the integration of AI in power systems, creating software and analytics that meet the constraints of power grids and data centers. He graduated from the Technical University of Denmark in 2021 and has held a postdoctoral fellow position at the Laboratory for Information Decision Systems at MIT. He has participated in numerous conferences and has been recognized with awards like the 2025 ENRE Early Career Paper Award. Dvorkin is passionate about educating future engineers through advanced courses in Computational Power Systems and engaging in public outreach through educational programs like the electricity market game simulator.
University of Michigan • Ann Arbor, MI
Teaching and conducting research in power systems and machine learning.
Department of Electrical Engineering and Computer Science