Fiodar Kazhamiaka
Scholar

Fiodar Kazhamiaka

Google Scholar ID: iCk1rjMAAAAJ
Microsoft
SystemsData ScienceArtificial IntelligenceEnergy
Citations & Impact
All-time
Citations
1,050
 
H-index
14
 
i10-index
19
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Recipient of the 2020 SCS Cheriton Dissertation award; work featured on ACM TechNews; papers accepted to NSDI '22, SOSP '21, and other conferences.
Research Experience
  • Currently a postdoc at the Future Data Systems lab at Stanford, advised by Matei Zaharia and Peter Bailis. Also a co-host of the weekly Stanford MLSys Seminar series.
Education
  • Completed PhD in Computer Science at the University of Waterloo under the guidance of Srinivasan Keshav and Catherine Rosenberg at the ISS4E lab. Focused on modeling and optimizing energy storage systems, with a focus on renewable energy sources and behind-the-meter applications.
Background
  • Research interests are in Systems for Sustainability, Data Science, and AI. Current research spans scalable and efficient systems for machine learning, query systems for data collected by autonomous vehicles, and PV+battery system design and control.
Miscellany
  • In free time, trains and competes internationally as a member of Canada's national beach volleyball team.
Co-authors
0 total
Co-authors: 0 (list not available)