Scholar
Vassilis Kekatos
Google Scholar ID: Nn15DLcAAAAJ
Purdue University
Citations & Impact
Citations
2,777
H-index
30
i10-index
57
Publications
20
Co-authors
65
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Received multiple research grants from NSF and ONR; supervised MSc thesis; organized and successfully held the Grid of Tomorrow Consortium workshop.
Research Experience
- Working at the Elmore Family School of Electrical and Computer Engineering at Purdue University; part of the Schweitzer Power and Energy Systems group; research projects include NSF-funded Optimizing Power Distribution Grids, NSF-ERC ASPIRE project, etc.
Background
- Associate Professor, focusing on algorithmic solutions for problems related to monitoring and optimization of electric power systems using tools from machine learning and quantum computing.
Miscellany
- Teaches the graduate-level course Power Distribution System Analysis.
