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Arya Mazumdar

Associate Professor
332 CS Building
(413) 545-0359


Machine Learning, Coding Theory, Information Theory


Arya's current research interests include recent advances of machine learning in the application domains of interactive learning algorithms, robust distributed learning, pattern-learning/data-fitting and optimization. In general, Arya is very much interested in fundamental problems of information theory plus related combinatorial or probabilistic methods. Arya's research in error-correcting codes has produced first efficiently implementable family of codes over permutations, as well as the best known fundamental limits of locally repairable codes. 


Before coming to the University of Massachusetts Amherst, Arya was an assistant professor at the University of Minnesota. He received his Ph.D. degree from the 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 a recipient of the 2011 Distinguished Dissertation Fellowship Award from the University of Maryland.  Arya's works have been regularly appearing in the top venues of Information Theory and Machine Learning in the recent years.