Debopam Sanyal

I am a PhD student in Computer Science [SCS] at Georgia Institute of Technology, where I specialize in systems for machine learning and am advised by Prof. Alexey Tumanov. My current research interests are distributed machine learning, federated learning and soft real-time machine learning.

I received my master's degree in Computer Science and my bachelor's degree in Computer Engineering, both from University of Illinois Urbana-Champaign, where I was advised by Prof. Sibin Mohan.

In the past, I spent two summers as a research intern in the Computational Research Division at Lawrence Berkeley National Laboratory. During my undergraduate studies, I spent two years as a part-time researcher at National Center for Supercomputing Applications. In 2022, I was selected as one of the 200 top young researchers in computer science and mathematics to attend the prestigious Heidelberg Laureate Forum.

Email: dsanyal7 [at] gatech [dot] edu
Office: KACB 3110

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Publications

• Indistinguishability Prevents Scheduler Side Channels in Real-Time Systems.
  Chien-Ying Chen, Debopam Sanyal and Sibin Mohan.
  ACM Conference on Computer and Communications Security (CCS), 2021.
  [bib][slides][video]


• Feature Selection Metrics: Similarities, Differences, and Characteristics of the Selected Models.
  Debopam Sanyal, Nigel Bosch and Luc Paquette.
  International Conference on Educational Data Mining (EDM), 2020.
  [bib][slides][video]

• Attacking Schedule Indistinguishability in Real-Time Systems.
  Debopam Sanyal.
  Master's Thesis, Department of Computer Science, University of Illinois Urbana-Champaign, 2022.
  [bib][slides]


• Optimizing Networking Approaches using P4 Programming.
  Debopam Sanyal.
  Bachelor's Thesis, Department of Electrical & Computer Engineering, University of Illinois Urbana-Champaign, 2020.
  [bib][slides]