Scholar
Ashok Vardhan Makkuva
Google Scholar ID: MO7qaUIAAAAJ
Postdoctoral researcher, EPFL
Citations & Impact
Citations
603
H-index
11
i10-index
13
Publications
20
Co-authors
22
list available
Publications
Resume (English only)
Academic Achievements
- Published papers in top-tier machine learning venues such as NeurIPS, ICLR, and ICML; Recognized with DAAD AInet Fellowship, ICLR Spotlight Award, Best Paper Award from ACM MobiHoc, Joan and Lalit Bahl Fellowship (twice), Sundaram Seshu International Student Fellowship, and Qualcomm Innovation Fellowship for two mentored students.
Research Experience
- Current postdoctoral researcher at EPFL, previously collaborated with multiple scholars during Ph.D. at UIUC, including Sreeram Kannan (Founder and CEO of EigenLayer).
Education
- Ph.D. in Electrical and Computer Engineering from UIUC, advised by Pramod Viswanath and Sewoong Oh; B. Tech. (Honors) in Electrical Engineering with Minors in Mathematics from IIT Bombay, advised by Vivek Borkar.
Background
- Research Interests: Building strong AI foundations towards designing reliable and interpretable AI systems. Main research thrusts: (1) Algorithmic Frameworks for AI via Information-Theoretic Principles (Reliability); (2) Theoretical Foundations of AI via Structured Data (Interpretability). Profile: Postdoctoral researcher at EPFL, collaborating closely with Michael Gastpar, Jason Lee, and Martin Jaggi.
Miscellany
- Personal interests: Meditation, Movies; Delivered invited talks at leading institutions including Stanford, Berkeley, and Microsoft Research, and gave a tutorial at NeurIPS.
