Vladimir Dvorkin

EECS Assistant Professor @UMich


EECS 4240


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 harness the power of optimization and machine learning to address the grand challenges of transitioning to digital and carbon-free power and energy systems. The ⏻ptiML group specifically focuses on:
Prescriptive Energy Analytics: we develop prescriptive analytics at the crossroads of machine learning and optimization to support stochastic planning, operation and pricing in renewable-dominated systems.
Energy Data Privacy: we develop rigorous methods for the privacy-preserving utilization and sharing of energy data, treating privacy as an algorithmic notion, and improving transparency in the industry.
Trustworthy & Fair ML: we internalize physics and market constraints into machine learning models to ensure security, economic efficiency, and fairness in their applications to energy systems operations and markets.

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