Arya Mazumdar (Research)

Interest

• Coding Theory, Information Theory, and related Combinatorial and Probabilistic Methods.

• Machine Learning, Optimization, Signal Processing.

Publications

Complete List; DBLP

Research Support

• HDR TRIPODS: Institute for Integrated Data Science: A Transdisciplinary Approach to Understanding Fundamental Trade-offs and Theoretical Foundations, Role: Co-PI.

• NSF1909046 New Directions in Clustering: Interactive Algorithms and Statistical Models, Role: PI (2019-2022).

• BSF-NSF1618512, Coding and Information - Theoretic Aspects of Local Data Recovery, Role: PI (2016-2020).

• NSF1642550, NSF1526763 Ordinal Data Compression, Role: PI (2015-2019).

• NSF CAREER, NSF CAREER Reliability in Large-Scale Storage (2015-2020).

• NSF1318093 Combinatorial Joint Source Channel Coding, Role: PI (2013-2017).

  • NSF1535566 REU Supplement (2015-2017).

Students and Advising

• Graduate Students

  • Larkin Flodin (University of Massachusetts, Ph.D. 2015 - ). Thesis Topic: Sparsity.

  • Soumyabrata Pal (University of Massachusetts, Ph.D. 2016 - ). Thesis Topic: Mixtures.

  • Raj Kumar Maity (University of Massachusetts, Ph.D. 2016 - ). Thesis Topic: Distributed Learning.

• Alumni

  • Venkata Gandikota (Postdoc at UMass Center for Data Science and NSF TRIPODS Foundations of Data Science, 2018 - 2020), Now: Assistant professor, Syracuse University.

  • Ankit Singh Rawat (Postdoc at UMass: 2017 - 2018), Now at: Google Research NYC.

  • Abhishek Agarwal (University of Minnesota, Ph.D. 2013 - 2018), Next Position: Postdoc at UIUC, Now at: The Jackson Laboratory.

  • Shashanka Ubaru (University of Minnesota, M.S. 2014), Next Position: Ph.D. University of Minnesota, Now at: IBM Watson Lab.

  • William Rurik (University of Minnesota, Undergraduate Honors Thesis and REU Student, 2016), Next Position: IBM.

Some Recent Topics

A word-cloud formed by the names of my papers from past few years.