Arya Mazumdar

Arya Mazumdar
Assistant Professor
332 CS Building
(413) 545-0359


Information Theory and Coding Theory: Applications to Learning and Networked Systems


Arya's research interests include Error-Correcting Codes, Information Theory (fundamental limits of reliable data-processing) and their applications. Coding theory is a science that enable reliable communication of information over a noisy medium. It, in recent years, has  supplied very useful tools to the general area of pseudorandom generators, and to a lesser extent to machine learning. Use of codes in inference problems, a relatively unexplored regime, is a current theme of Arya's research.

With the recent emergence of technologies such as cloud computing, distributed online storage and high-density recording, sophisticated error-correcting codes are more relevant than ever. The tools that Arya uses in his research frequently involve additive and enumerative combinatorics, graph theory and concentration of measure phenomena.

Research Centers & Labs: 


Before coming to University of Massachusetts, Arya was an assistant professor at University of Minnesota. He received his Ph.D. degree from  University of Maryland, College Park, in 2011. Followed by this he was a postdoctoral scholar at the Massachusetts Institute of Technology (2011-2012). He spent the summers of 2008 and 2010 at the Hewlett-Packard Laboratories, Palo Alto, CA, and IBM Almaden Research Center, San Jose, CA, respectively. 

Activities & Awards

Arya is a recipient of the 2014-15 NSF CAREER award and the 2010 IEEE ISIT Jack K. Wolf Paper Award. He is also the recipient of the Distinguished Dissertation Fellowship Award, 2011 (University of Maryland).  Arya Is a member of IEEE Information Theory Society and regularly publishes in the society's flagship journal IEEE Transactions on Information Theory and the flagship conference IEEE International Symposium on Information Theory (ISIT).