I obtained my Ph.D. in Applied Mathematics & Statistics, and Scientific Computation (AMSC) at the University of Maryland, College Park. My area of concentration was Scientific Computation, and my work focused on harmonic analysis and its applications. [Disseration PDF]
I had the privilege and fortune of having John J. Benedetto as my Ph.D. advisor. He is the director of The Norbert Wiener Center for Harmonic Analysis and Applications (NWC). He also directed my MA degree work on "Signal processing for health monitoring of jet engines."
I am a proud member of NWC as a postdoctoral fellow, and web consultant and webmaster on my community service time.
I work on studying, primarily, sparse representations of signals. In specific, I focus on the study, implementation, validation and testing of the Orthogonal Matching Pursuit algorithm (OMP). A simple description of this algorithm can be found in .
I have used an implementation of this algorithm to study image compression as well as applications to RADAR.
 A. M. Bruckstein, D. L. Donoho, and M. Elad, From sparse solutions of systems of equations to sparse modeling of signals and images, SIAM Review, 51 (2009), pp. 34-81.
I obtained First Prize in the poster session "Pushing the Boundaries of Science" at the Graduate Research Interaction Day (GRID) 2012 presenting a poster of my work on "Image representation and compression via sparse solutions of systems of linear equations." [Poster PDF]