I am updating my home page on the Purdue server and can be found here.
I am a postdoctoral research associate with the Center for Science of Information - an NSF funded science and technology center located at Purdue University. I am hosted and mentored by Prof. P R Kumar at Texas A & M University, Prof. Venkat Anantharam at Univ. of California, Berkeley, Prof. Andrea Goldsmith at Stanford Univ. and Prof. Narayana Santhanam at Univ. of Hawaii at Manoa.
Recent Results : Among other problems, I am currently working on developing a new coding framework for joint source-channel coding over multi-user channels. Some of my recent results are described in 2016 ISIT paper and my arxiv preprints on MAC and IC. I presented my work recently at ITA 2017, San Diego.
01 April 2017 Update : These findings have been accepted (via a peer-reviewed process) for presentation at ISIT 2017 and I am looking forward to presenting my two single-author papers at Aachen, Germany.
Through the following links, you can access my preprints and publications, a description of my doctoral thesis and a list of graduate level courses that I have studied through.
I received my doctorate from the Department of Electrical Engineering and Computer Science (EECS), University of Michigan, Ann Arbor (UMICH) in May 2014. My PhD thesis adviser is Prof. Sandeep Pradhan and my thesis lies in the area of multi-terminal information theory. After completing my doctoral degree requirements in Dec 2013, I was employed as a postdoctoral research associate with the Dept. of EECS, UMICH. During the Winter 2014 semester (Jan - Apr 2014), I taught the graduate Probability and Random Processes (EECS501) course offered by the Dept. of EECS, UMICH. From Nov 2014 to Aug 2015, I worked for Ericsson. Inc. at San Jose, CA as a Research Engineer in their Radio Access Research team.
Briefly, as part of my doctoral thesis, I addressed the long standing problems of characterizing capacity regions of fundamental multi-terminal scenarios such as broadcast and interference networks. I have derived new inner bounds to the capacity regions of these networks with three or more users that strictly improve upon the current known largest inner bounds. The current known largest inner bounds have remained so for over three decades indicating the difficulty of the problems addressed. Please find a detailed description of my findings here.
My doctoral thesis lies in the area of multi-terminal information theory. In particular, I consider the problem of characterizing inner bounds to the capacity region of multi-terminal communication scenarios such as broadcast and interference channels with three or more users. Employing the ensemble of codes possessing algebraic closure properties, I have derived achievable rate regions for four multi-terminal communication scenarios (including three user broadcast and interference channels) that are strictly larger than the current known largest achievable rate regions. A detailed illustration of my findings can be found here.
I taught the graduate course in Probability offered by the Dept. of EECS as Graduate Student Instructor in Winter 2012 and Winter 2013 terms. In the Winter 2014 term, I taught this course EECS 501 as a full instructor!!!! To teach a graduate course in probability at Univ. of Michigan to Doctoral students immediately after my PhD was a wonderful experience. This provided me with an excellent opportunity to hone my teaching skills.
My sister is pursuing her PhD at IISc, Bangalore. She works in reinforcement learning. More on her research can be found here.
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