Vassilis Kekatos
Engineering · Purdue University West Lafayette
Publications
177
Citations
3,117
Est. group size
~2
Recurring co-author estimate
Active years
22
Publishing since 2005
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.
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
- Interpolatory Approximations of PMU Data: Dimension Reduction and Pilot Selection
IEEE Transactions on Power Systems · 2026
- Sparse Tableau-Based Dynamic Simulation for Active Distribution Feeders
2026
- Deep Learning Techniques for Solving Optimal Power Flow Problems
2025
- Regulating Voltage Magnitude and Phase Imbalance using DERs via Volt/VAR Control Rules
2025
- Incorporating Power System Stability Metrics into the Optimal Power Flow
2025
- Learning AC Power Flow Solutions using a Data-Dependent Variational Quantum Circuit
2025
- A Scalable Approach for Safe and Robust Learning via Lipschitz-Constrained Networks
arXiv (Cornell University) · 2025
- Solving Conic Programs over Sparse Graphs using a Variational Quantum Approach: The Case of the Optimal Power Flow
arXiv (Cornell University) · 2025
- Learning AC Power Flow Solutions using a Data-Dependent Variational Quantum Circuit
arXiv (Cornell University) · 2025
- Optimal Design of Volt/VAR Control Rules of Inverters Using Deep Learning
IEEE Transactions on Smart Grid · 2024
- Solving constrained optimization problems via the variational quantum eigensolver with constraints
Physical review. A/Physical review, A · 2024
- Decision-focused learning under decision dependent uncertainty for power systems with price-responsive demand
Electric Power Systems Research · 2024
- Data-driven forced oscillation localization using inferred impulse responses
Electric Power Systems Research · 2024
- Learning Distribution Grid Topologies: A Tutorial
IEEE Transactions on Smart Grid · 2023
- Optimal Design of Volt/VAR Control Rules for Inverter-Interfaced Distributed Energy Resources
IEEE Transactions on Smart Grid · 2023
- 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
- Gonzalo E. Constante‐Flores
Engineering · The Ohio State University
- Yufei He
Engineering · The Ohio State University
- Ge Chen
Engineering · Purdue University West Lafayette
- Junjie Qin
Engineering · Purdue University West Lafayette
- Loraine Navarro
Engineering · Purdue University West Lafayette
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.
Claim or correct this profile