Vladimir Dvorkin

EECS Assistant Professor @UMich

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EECS 4240

1301 BEAL AVE, MI

Ann Arbor, MI 48109

I am an Assistant Professor of Electrical Engineering and Computer Science at the University of Michigan. I lead the ⏻ptiML group, where we use power engineering, operations research, machine learning, and economics to address the grand challenges in modern power grids. Specifically, the ⏻ptiML group works on:
Grid analytics: We develop analytic models that combine mathematical optimization and machine learning (ML) to support grid operations and electricity markets under uncertainty. We integrate ML into optimization algorithms to enhance decisions, while using optimization to inform and guide ML toward more reliable predictions.
Grid integration of AI: We work on integration of AI as software (models, analytics) and hardware (data centers) in a way that respects the objectives and constraints of power grids and data centers. Our work focuses on feedback loops in grid–AI and AI-grid-AI interaction and how they can be operationalized to ensure the sustainable integration of AI.
Energy data privacy and security: We develop rigorous methods to enable controllable and trustworthy transparency of power systems, where sensitive data can be sourced on demand while guaranteeing agent privacy and system security.

I graduated from the Technical University of Denmark in 2021. During my doctoral research, I was also visiting the School of Industrial and Systems Engineering at Georgia Tech. Before joining the University of Michigan, I was a MSCA postdoctoral fellow at the Laboratory for Information and Decision Systems (LIDS) and the MIT Energy Initiative at the Massachusetts Institute of Technology. For more details, please see my CV.

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