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Address: CST 4-125, Syracuse University, Syracuse, NY 13210
E-mail: <lastname>[dot]<firstname>[at]gmail[dot]com
E-mail: <lastname>[dot]<firstname>[at]gmail[dot]com
Assistant ProfessorElectrical Engineering and Computer Science Department, Syracuse University.Affiliate Faculty at EnCORE: Institute for Emerging CORE Methods of Data Science.Senior Member, IEEE.
Research overview: My research focuses on understanding the algorithmic limits of data analysis tasks by leveraging insights from coding theory and combinatorics. In particular, we use the structure of error-correcting codes to design efficient and robust algorithms for machine learning problems such as distributed learning and sparse recovery. A central theme of our work is the use of structured redundancy—strategically embedding structure into data or computations—to enable computationally efficient and noise-resilient solutions across a range of applications.
Research Interests:
Foundations of Machine Learning
Algorithms for Big Data
Coding Theory & Lattices
Information Theory
Note: I am not currently in a position to take on new students, interns, RAs, or postdocs.
Biography:
I am an Assistant Professor in the Department of Electrical Engineering and Computer Science at Syracuse University, and an affiliate faculty member at EnCore: Institute for Emerging CORE Methods in Data Science. I am also a Senior Member of the IEEE.
My research lies at the intersection of coding theory, point lattices, and foundational problems in machine learning. I am particularly interested in how algebraic and geometric structures can be leveraged to design efficient, robust algorithms for modern data-driven tasks. Parts of my work are supported by the CUSE and SOURCE RA grants.
Prior to joining Syracuse, I held postdoctoral research positions at the University of Massachusetts Amherst and Johns Hopkins University. I received my Ph.D. in Computer Science from Purdue University, and earned dual undergraduate degrees in Mathematics (M.Sc.) and Computer Science (B.E.) from the Birla Institute of Technology & Science, Goa, India.
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