Scholar
Konstantinos Kanellis
Google Scholar ID: uMlydhoAAAAJ
University of Wisconsin-Madison
Citations & Impact
Citations
178
H-index
4
i10-index
2
Publications
10
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Published papers include 'From Good to Great: Improving Memory Tiering Performance Through Parameter Tuning', 'TUNA: Tuning Unstable and Noisy Cloud Applications', etc.; received the Landweber NCR Graduate Fellowship in Distributed Systems for 2025-2026; research works accepted by EuroSys'25, DEEM Workshop @ SIGMOD, and more.
Research Experience
- Interned at Amazon Web Services (2023) and Microsoft Research (2021) while at UW-Madison; interned at IBM Research - Zurich (2019) and CERN openlab (2017) prior to PhD journey.
Education
- Ph.D. candidate in the Computer Sciences Department at the University of Wisconsin-Madison, advised by Prof. Shivaram Venkataraman; M.Eng. in Electrical and Computer Engineering from the University of Thessaly, Greece.
Background
- Research interests mainly lie in the area of computer systems, particularly at the intersection of data systems and machine learning. Latest research aims at developing better database auto-tuning solutions by applying machine learning techniques, and improving key-value store designs to fully exploit new, fast storage devices.
