Our Team

Professor Vladimir Dvorkin is an emerging expert in the optimization, control, and machine learning foundations that power modern sustainable energy systems. As an Assistant Professor of Electrical and Computer Engineering, he investigates how intelligent algorithms, advanced control theory, and rigorous mathematical modeling can support the transition toward cleaner, smarter, and more resilient energy infrastructures. His research spans critical areas such as renewable integration, grid flexibility, energy storage coordination, and the complex interplay between market design and system optimization.

Professor Dvorkin also works at the forefront of data privacy and algorithmic fairness, developing computational methods that ensure energy analytics and AI-driven decision systems operate transparently and equitably. His work bridges technical rigor with societal responsibility, addressing bias, privacy protection, and ethical algorithm design in large-scale energy applications.

A central theme of his research is the nexus of energy markets and optimization theory, where he studies how economic incentives, operational constraints, and decentralized decision-making shape the structure and behavior of future power grids. At TheSSML, Professor Dvorkin equips students with the analytical tools and computational techniques needed to solve pressing sustainability challenges, integrating machine learning with energy systems engineering to drive transformative impact.