Scholar
Ali Vakilian
Google Scholar ID: uXZaVaAAAAAJ
Virginia Tech
Citations & Impact
Citations
1,375
H-index
18
i10-index
29
Publications
20
Co-authors
73
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top conferences such as SODA 2026, NeurIPS 2024, AISTATS 2024, and received the outstanding student paper highlight award at AISTATS 2024.
Research Experience
- Currently an Assistant Professor in the Department of Computer Science at Virginia Tech. Previously a Research Assistant Professor at Toyota Technological Institute at Chicago (TTIC).
Education
- Ph.D. in EECS at MIT, Advisors: Erik Demaine and Piotr Indyk; M.S. in CS at University of Illinois at Urbana-Champaign, Advisor: Chandra Chekuri; B.S. in CE at Sharif University.
Background
- Research Interests: Algorithmic Foundations of Machine Learning and Data Science, particularly Algorithms for Massive Data (Streaming, Sketching, Sublinear Time Algorithms), Algorithms for ML (Learning-Augmented Algorithms, Randomized Numerical Linear Algebra), Trustworthy ML (Algorithmic Fairness, Learning with Strategic Agents), as well as Combinatorial Optimization and Approximation Algorithms.
Miscellany
- Looking for PhD students and a postdoc in the Fall ‘26 cycle. More information will be available on the website in early October.
