LabCompass

Vassilis Kekatos

Engineering · Purdue University West Lafayette

Mid career · publishing since 2005

Publications

177

Citations

3,117

Est. group size

~2

Recurring co-author estimate

Active years

22

Publishing since 2005

Research summary
AI-generated

Vassilis Kekatos works on power systems engineering, focusing on how electricity grids are monitored, controlled, and optimized. Recent work applies machine learning, deep learning, and even quantum computing methods to problems like optimal power flow, voltage control, and grid topology estimation, aiming to make power grid operations more efficient and reliable as more renewable and distributed energy sources are added.

Optimal power flow and grid optimizationSmart grid monitoring and control (Volt/VAR, PMU data)Machine learning and deep learning for power systemsQuantum computing approaches to optimization problemsDistribution grid topology and state estimation

Publication output has been fairly steady over the past decade with year-to-year fluctuations (roughly 9-18 papers annually), showing a dip in 2024 before rebounding in 2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 10.2/year recently
2017: 13 publications172018: 9 publications182019: 18 publications18192020: 13 publications202021: 13 publications212022: 18 publications18222023: 13 publications232024: 5 publications242025: 11 publications252026: 4 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×45
  • IEEE Transactions on Smart Grid×14
  • IEEE Transactions on Power Systems×11
  • IEEE Control Systems Letters×4
  • Electric Power Systems Research×4
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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