I am a PhD candidate at California Institute of Technology ( Caltech ). I am in the systems group and my advisor is Babak Hassibi . Generally speaking, I am interested in various problems in signal processing, coding, information theory and discrete optimization.

The main focus of my current research is targeting problems in " compressive sensing ",including theoretical aspects of sparse signal recovery, novel recovery algorithms and applications of sparse signal processing and low rank matrix completion/reconstruction in communication systems, control and learning theory. Compressed sensing has a great deal of topics in common with discrete optimization, coding theory, combinatorial geometry and, in the case of our problems, with random graph theory. I am also interested in some problems in wireless communications, cooperative and relayed wireless networks and more. Please see the publications section of my homepage for details.

Last summer (2010), I spent three months at NEC laboratories America Inc. as a summer research assistant working on various problems in MIMO broadcast and multicast channels, as well as compressed sensing and related topics in information theory and communications.

Prior to that, I was an intern with Lyric semiconductor Inc. , in summer 2009, and became involved in a broad range of problems relating to channel coding, signal processing, optimization and statistical inference with practical applications.