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20232025

Research Activity per Year

Overview

Personal Profile

Polina Alexeenko studies the evolving relationship between the transportation and energy sectors using tools from optimization, statistics, and machine learning. Alexeenko’s work aims to improve energy and supply chain resilience by cultivating symbiosis between vehicles and the grid through operation planning, infrastructure choice, and rate design.

Research Interests

Power systems

Vehicle decarbonization

Optimization

Commercial vehicles

Electric vehicles

Smart grid

Education/Academic Qualification

PhD, Electrical and Computer Engineering, Cornell University

Bachelor, Mathematics, University of California at Berkeley

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Collaborations and Top Research Areas From the Past 5 Years

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