S Ashwin Hebbar

Princeton University

Princeton, NJ
Bengaluru, India

I am a Ph.D. student in ECE at Princeton University, advised by Prof. Pramod Viswanath. I also work closely with Prof. Sewoong Oh and Prof. Hyeji Kim. I received an MS in Electrical and Computer Engineering from the University of Illinois Urbana-Champaign in August 2022. Previously, I received a B.Tech in Electronics and Communication Engineering from NITK Surathkal. During my undergraduate years I have been fortunate to work with Prof. Shri Narayanan at USC, Prof. Deepu Vijayasenan at NITK, and Prof. Prasanta Kumar Ghosh at IISc.

My current research interests are in the application of machine learning for channel coding. I spent the summer of 2024 at Apple, where I worked with the cellular systems team to develop ML-guided PHY decoding schemes for 5G and post-5G deployments. I am also interested in blockchains and their applications. I led the development of SAKSHI - a platform to faciliate decentralized ML inference, and provides security and incentives via fraud proofs and decentralized transaction rails. I also TAed a course on Principles of Blockchains at Princeton (Fall '22, '23).

Education

2022-2026 Ph.D., Electrical and Computer Engineering
Princeton University
2021-2022 M.S., Electrical and Computer Engineering
University of Illinois, Urbana-Champaign
2016-2020 B.Tech., Electronics and Communication Engineering
National Institute of Technology Karnataka (NITK), Surathkal

News

July 2024: Presented DeepPolar at ICML 2024, Vienna
June 2024: Started a 3-month ML intenship at Apple! Working with the cellular systems team.
May 2024: One paper accepted at ICML 2024
April 2024: One paper accepted at ISIT 2024
February 2024: Our team was selected to the finals of the Qualcomm Innovation Fellowship 2024!
August 2023:
August 2023:
Presented SAKSHI at the Future of Decentralized AI and Computing Summit, UC Berkeley
April 2023: One paper accepted at ISIT 2023
July 2023: Presented CRISP at ICML 2023, Honolulu
April 2023: One paper accepted at ICML 2023
April 2023: One paper accepted at ISIT 2023
August 2022: Joined ECE, Princeton University
July 2022: Finished my MS at UIUC!
May 2022: Attended ITA 2022, San Diego
April 2022: One paper accepted at ISIT 2022
January 2021: Joined ECE, University of Illinois Urbana-Champaign