Arun Padakandla

I received my doctorate from the Department of Electrical Engineering and Computer Science (EECS), University of Michigan, Ann Arbor (UMICH) on 03 May 2014. My PhD thesis adviser is Prof. Sandeep Pradhan and my thesis lies in the area of multi-terminal information theory. Since completing my doctoral degree requirements in Dec 2013, I have been employed as a postdoctoral research associate here with 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.

Briefly, as part of my 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.

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.

Brief academic background

Doctor of Philosophy
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor
Thesis Adviser : Prof. Sandeep Pradhan
Thesis title : Algebraic framework for multi-terminal communication
 Sept 2008 - Dec 2013
Master of Science
Department of Mathematics, University of Michigan, Ann Arbor
May 2013
Master of Science (Engg)
Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore,
Thesis Adviser : Prof. Rajesh Sundaresan
Thesis title : Interference management for vector Gaussian multiple access channels
June 2008
Bachelor of Engineering in Electronics and Telecommunication
Department of Electronics and Telecommunication, Sir M Visvesvaraya Institute of Technology
June 2004

Doctoral thesis

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.

Publications and preprints

Teaching experience

I love to teach. I believe that is what I am born to do!!!! I have got wonderful opportunities to teach so far. During Jan - Apr 2012, I was a student instructor for the graduate course in Prabability (EECS 501) offered by the department of EECS, Univ. of Michigan. I got the same opportunity once again in Jan - Apr 2013. I loved these times. I teach with a lot of passion. The icing on the cake was the opportunity I got in Jan - Apr 2014 when I taught this graduate probability course as a full instructor!!! Immediately after my PhD in information theory, the opportunity to teach a graduate probability course in one the best universities in the world wherein the audience are (1st, 2nd and 3rd years) PhD students from varied departments is amazing. I got very good reviews too. The reviews I got as a student instructor are awesome!!! I will not trade these opportunities for a hundred thousand dollars!!!!

Graduate courses

Masters thesis

Work experience


I come from a family that values knowledge and academics very highly. You can find my sister here. As most girls are, she is significantly more hard working, persevering, sincere, committed than me!!! I am very proud of her.


Arun Padakandla

Office address: 1301 Beal Avenue, 4301 EECS Building, Ann Arbor 48109-2122

Personal address : 2236 Fuller CT Apt 108, Ann Arbor Mi 48105-2323

Email :

Office phone number : +1-734-764-4110