Ashwin Hebbar
Scholar

Ashwin Hebbar

Google Scholar ID: EnNwKLgAAAAJ
Princeton University
machine learningcommunicationssignal processing
Citations & Impact
All-time
Citations
241
 
H-index
7
 
i10-index
5
 
Publications
15
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Papers accepted at top-tier conferences including ICML 2024, ISIT 2024, ICML 2023, ISIT 2023, and ISIT 2022
  • 2024: Team selected as finalists for the Qualcomm Innovation Fellowship 2024
  • July 2024: Presented DeepPolar at ICML 2024, Vienna
  • July 2023: Presented CRISP at ICML 2023, Honolulu
  • August 2023: Presented SAKSHI at the Future of Decentralized AI and Computing Summit, UC Berkeley
  • August 2023: Attended Science of Blockchain Conference (SBC 2023), Stanford
  • May 2022: Attended ITA 2022, San Diego
Education
  • 2022–2026: Ph.D. in Electrical and Computer Engineering, Princeton University
  • 2021–2022: M.S. in Electrical and Computer Engineering, University of Illinois Urbana-Champaign (UIUC)
  • 2016–2020: B.Tech. in Electronics and Communication Engineering, National Institute of Technology Karnataka (NITK), Surathkal
  • Ph.D. advisor: Prof. Pramod Viswanath
  • During undergraduate studies, worked with Prof. Shri Narayanan (USC), Prof. Deepu Vijayasenan (NITK), and Prof. Prasanta Kumar Ghosh (IISc)