Scholar
Ilyas Fatkhullin
Google Scholar ID: UCOWHb4AAAAJ
ETH Zurich
Citations & Impact
Citations
693
H-index
11
i10-index
12
Publications
16
Co-authors
19
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Contributions have appeared in leading machine learning venues including NeurIPS, ICML, AISTATS, Journal of Machine Learning Research, as well as top-tier journals such as SIAM Journal on Optimization, SIAM Journal on Control and Optimization. Developed the widely-cited EF21 algorithm.
Research Experience
- Conducts PhD research at ETH Zurich, focusing on developing theoretically grounded algorithms for machine learning and optimization, particularly in data efficiency, scalability, and safety. Previously, worked on control theory problems and federated learning.
Education
- PhD student at ETH Zurich, advised by Prof. Niao He. Received a DAAD Scholarship for Master studies in Germany, and worked with Prof. Boris Polyak on control theory problems and with Prof. Peter Richtárik on federated learning.
Background
- PhD Student at ETH AI Center and Computer Science Department of ETH Zurich, Switzerland. Research interests include developing theoretically grounded algorithms for machine learning and optimization, with an emphasis on data efficiency, scalability, and safety.
Miscellany
- Currently supported by the ETH AI Center Doctoral Fellowship.
