I am a PhD candidate at the Dept. of Electrical and Computer Engg. at the University of Illinois at Urbana-Champaign, working with Prof. Lav R. Varshney on information-theoretic methods for the analysis and design of algorithms for learning and blockchain systems, at the Information and Intelligence Group

During the summer of 2018 I was a Science for Social Good Fellow at IBM Research, Yorktown, NY, where I got the opportunity to work with Dr. Kush R. Varshney on blockchain-based distributed computational trust mechanisms. Prior to this, I spent the summer of 2017 as a research intern at Schlumberger Doll Research, Cambridge, MA, where I got to work with Dr. Julius Kusuma on information-theoretic algorithm design for borehole image alignment.

Prior to this I graduated from the Indian Institute of Technology, Madras (IIT Madras) with a B.Tech in Electrical Engineering minoring in Mathematics for Computation, and M.Tech in Communication Systems in 2014. For my Masters thesis, I worked with Prof. Krishna Jagannathan on optimal downlink resource allocation under time-varying interference in wireless networks.

My research interests include:
  • Machine Learning
  • Blockchain Systems
  • Information Theory
  • Statistical Learning Theory
e-Mail : rraman10 (at) illinois (dot) edu