M. Amin Khajehnejad

About me      Resume     Publications     Contact     

I am a PhD candidate at California Institute of Technology (CalTech). I am in Communications 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 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 cooperative communication and relayed wireless networks, mainly in characterizing capacity regions of  different network configurations. Please see the publications section of my homepage for details.