SPARSITY Research Group at UCSD — Rahul Parhi
The Signals, Patterns, Adaptivity, Regularization, Statistics, and Information TheorY (SPARSITY) research group at the University of California, San Diego (UCSD), led by Rahul Parhi, pursues fundamental research at the interface between functional analysis, signal processing, machine learning, nonparametric statistics, and optimization. Our primary area of investigation is in the mathematics of data science with a focus on developing the foundations of neural networks and deep learning.
Our research efforts often overlap with many areas of applied mathematics including applied harmonic analysis, approximation theory, inverse problems, stochastic processes, the theory of distributions, time–frequency analysis, and wavelets. As a by-product, we have also made several contributions to these areas as well. For more information, please take a look at our papers.
★ We are always interested in recruiting self-motivated Ph.D. students and postdocs with a strong background in mathematics who are generally interested in the mathematics of data science. If you are interested in joining us, please send an email to Rahul Parhi with (i) your CV and (ii) a list of topics you are interested in.