My research interests are in information and coding theory, estimation and detection theory, Markov decision processes and cryptography.

The topic of my Ph.D. dissertation was information theoretic network security. It addressed both theoretical and certain practical challenges in information security that are currently at the forefront of network design. In my dissertation, I proposed an information theoretic approach for achieving privacy among the nodes of a network. The principal challenge concerned the generation and establishment of secret keys in such a network for subsequent secure encrypted communication among the nodes. A key facet of our approach was the ability to assure an unconditional level of information security. It used a stringent notion of provably secure information theoretic secrecy rather than the notion of computational security on which all currently used cryptosystems are based.

I have also been working on other topics, in information and coding theory, related to multiple-access channels. In particular, for an adversarial model of the arbitrarily varying multiple-access channel, I studied the capacity region of such a channel under list decoding of a fixed size. Additionally, I am also investigating the maximal error capacity region of a Gaussian multiple-access channel.

Currently at the University of Illinois, I am conducting research on the topic of controlled sensing for hypothesis testing which lies at the intersection of information theory, control and estimation and detection theory.

Journal Publications:

In Prints