Arya Mazumdar

Updates

• I am a Distinguished Lecturer of the IEEE Information Theory Society for 2023-2024.

• NSF announced EnCORE Institute to be a TRIPODS Phase II Institute. UC San Diego News. Jacob School News. CSE News. HDSI News.

• Mar 8, 2022: A Fortune Education article featuring my quotes on the growth of data science.

• Mar 2022: I gave a talk at Rutgers University on learning mixtures.

• Dec 2021: I am Data Science featuring my research.

• Nov 17, 2021: I gave a talk in the inaugural TILOS Seminar on learning mixtures.

• Foundational research in TILOS: UCSD News

• The National Science Foundation announced our institute to be a National AI Institute, where I am a co-PI and co-leader of the Foundations research. For more information, see our website or read the UCSD News Story.

• Finished teaching DSC 40B Theoretical Foundations of Data Science. All lecture notes are online.

• May 10: I gave a talk in UCSD CS Theory Seminar on learning mixtures.

• Apr 23: I gave a talk in UPenn Machine Learning Seminar on Optimization with Communication Constraints.

• I am a PC member in RANDOM 2021 and an area chair in NeurIPS 2021. Please submit your best works.

• On April 9, 2021, we are organizing a Workshop on Communication Efficient Distributed Optimization. Please register (free) to attend and present a poster.

• Jan-Mar 2021: Finished teaching DSC 190 Algorithms for Data Science. All lecture slides are up.

• I moved to UCSD in 2020-2021 academic year. Please apply for HDSI/Simons postdoctoral fellowships here. Ph.D. Applicants interested to work with me: Please apply formally to the CSE department and mention my name in your application.

• I gave an invited talk at the Asilomar conference on gradient quantization.

• I gave talks on Learning Mixtures and Trace Reconstruction at the CCSP Seminar, Workshop on Inference problems: algorithms and lower bounds, TBSI Workshop on Learning Theory and at SPCOM.

• 2020 EURASIP JASP Best Paper Award for this paper.

• Foundations of Data Science Virtual Talk Series starting Feb 28, 2020. Thanks NSF.

• Four sessions in ITA on Federated Learning. See here.

• The TRIPODS Institute for Theoretical Foundations of Data Science now has a website. Multiple postdoc positions are available.

• NSF HDR TRIPODS Award: HDR TRIPODS: Institute for Integrated Data Science: A Transdisciplinary Approach to Understanding Fundamental Trade-offs and Theoretical Foundations.

• A new NSF award NSF1909046 New Directions in Clustering: Interactive Algorithms and Statistical Models.

• An oral presentation at the ICML 2019 Workshop on Security and Privacy in Machine Learning: Private vqSGD: Vector-Quantized Stochastic Gradient Descent.

• A spotlight talk at the ICML 2019 Workshop on Coding Theory for Large-Scale Machine Learning: Reliable Distributed Clustering with Redundant Data Assignment.

• For students interested in CMPSCI 690-OP: Optimization in Computer Science (spring 2019): The course webpage is up.

• I gave a talk at the Shannon Channel on Graph Clustering: Variations on the Block Models. Video Link.

• I gave an invited talk at Frontiers of Coding Theory at the Information Theory Workshop, Guangzhou, based on this work.

• We organized a session on New Directions in Clustering in the Allerton Conference where I gave a talk on Geometric Block Model. Thanks to all the other speakers.

• The course webpage for CS 514: Algorithms for Data Science, fall 2018, is up.

• I am part of the Workshop on Coding and Information Theory at the Center of Mathematical Sciences and Applications in Harvard Apr 9-13 and speaking about LRCs.

• The Dagstuhl Workshop on Coding Theory for Inference, Learning and Optimization that we organized was a great success. Thanks attendees.

• An oral presentation at SysML Conference, Feb 16, 2018.

• Invited talk at Institute for Advanced Study (IAS) on Locally repairable codes, Storage capacity and Index coding, Feb 5, 2018.

• Invited talk at Bombay Information Theory Seminar (BITS) on Interactive Algorithms for Clustering and Community Detection, Jan 2018.

• A spotlight paper Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding, among three accepted at NIPS 2017.

• Invited talk at AMS Fall Sectional Meeting on Locally repairable codes, Oct 28.

• Invited talks at Google (Oct 11), IMA (Oct 28) on Clustering with an Oracle.

• We are organizing the CS Theory Seminar in fall. Look for updates in this page.

• A new NSF award BSF-NSF1618512, Coding and Information - Theoretic Aspects of Local Data Recovery.

• Invited talk at SIAM Discrete Math. Locally repairable codes and index coding.

• Invited talk at the Shannon Centenary Session of SPCOM and invited paper Local partial clique covers and Index coding.

• Elevated to the grade of IEEE Senior member.

• Machine Learning and Friends Lunch, Neural Auto-associative Memory Via Sparse Recovery Jan 29, 2016.

• New invited paper and talk at Information Theory Workshop, Jeju Island, Oct 11-15, 2015.

• NSF CyberBridges Workshop, Aug 31-Sep 1, 2015.

• A new NSF grant NSF1642550, NSF1526763 Ordinal Data Compression.

• Invited Talk on “Recent Results in Local Repair” at Communication Theory Workshop (CTW), May 13, 2015.

• Invited Talk on “Associative Memory via Linear Neural Networks” at ITW, Apr 30, 2015.

• Invited Talk on “Memoryless Adversary,” at Between Shannon and Hamming: Network Information Theory and Combinatorics, Banff Workshop, Mar 2, 2015.

• Invited Talk on “Local Repairability,” at Simons Institute Workshop on Coding, Feb 12, 2015.

• Thanks NSF, for the CAREER award, Reliability in Large-Scale Storage, UMN Part, UMass Part (2015-2020).

Bio

I am a tenured associate professor in the Halıcıoğlu Data Science Institute (HDSI), and an affiliated faculty in the Computer Science and Engineering and Electrical and Computer Engineering departments at UCSD. From 2015-2021, I was first an assistant, and then an associate professor of Computer Science at UMass with additional affiliations to Center for Data Science and Department of Mathematics and Statistics. During 2019-2020, I was also a senior scientist in Amazon in Berkeley, CA. My research is mainly supported by the NSF via multiple grants, including an NSF CAREER award. Before joining UMass, I was an assistant professor at University of Minnesota – Twin Cities. And even before that, I was a postdoctoral scholar (Aug 2011- Dec 2012) at Signals, Information and Algorithms Lab led by Greg Wornell at MIT.

I received my PhD in 2011 from University of Maryland, College Park under the guidance of Alexander Barg. My thesis, Combinatorial Methods in Coding Theory, won a distinguished dissertation fellowship award in UMD, and also an ISIT Jack K Wolf paper award. While a graduate student, I spent summer of 2010 at IBM Almaden, San Jose, CA, and summer of 2008 at HP Labs, Palo Alto, CA doing internships. As of now, I am also serving as an Associate Editor of IEEE Transactions on Information Theory and as an Area Editor of Foundation and Trends in Communication and Information Theory.

Back in a magical decade, I was born in the then-small-town of Siliguri in Darjeeling, West Bengal, India. I spent the wonder-years there and in Jadavpur, Kolkata, till I graduated with a B.E. in Electronics and Telecommunication engineering.