Bio
Krishnan Eswaran is a PhD candidate at UC Berkeley and advised by Professors Michael Gastpar and Kannan Ramchandran. He is a member of the Wireless Foundations Center, as well as the SIPC and BASICS groups. He received his M.S. in Electrical Engineering from UC Berkeley and a B.S. in Electrical and Computer Engineering from Cornell University. He has interned at AT&T Labs, the Palo Alto Research Center (PARC), and the Broad Institute of MIT and Harvard.
His research has been supported by a Vodafone U.S. Foundation Fellowship and a National Science Foundation ITR grant.
Research Interests
Information theory, feedback and interaction, security, networks
Publications
Preprints
- K. Eswaran, M. Gastpar, and K. Ramchandran. Bits through ARQs. Submitted to the IEEE Transactions on Information Theory, arXiv:0806.1549v1 [cs.IT], June 2008.
- K. Eswaran, A.D. Sarwate, A. Sahai, and M. Gastpar. Limited feedback achieves the empirical capacity. Submitted to the IEEE Transactions on Information Theory, arXiv:0711.0237v1 [cs.IT], November 2007.
- K. Eswaran, B.K. Weiner, D.S. Lun, and J.E. Galagan. Flexible Framework for Operon Prediction via Conditional Random Fields. In preparation.
Conferences
- K. Eswaran and M. Gastpar. Achievable Rates for Conferencing Multiway Channels. Proceedings of the IEEE International Symposium on Information Theory (ISIT 2008), Toronto, Canada, July 6-11, 2008.
- V. Prabhakaran, K. Eswaran, and K. Ramchandran. Secrecy via Sources and Channels: A Secret Key - Secret Message Rate Trade-off Region. Proceedings of the IEEE International Symposium on Information Theory (ISIT 2008), Toronto, Canada, July 6-11, 2008.
- K. Eswaran, M. Gastpar, and K. Ramchandran. Bits through ARQs: Spectrum Sharing with a Primary Packet System, Proceedings of the IEEE International Symposium on Information Theory (ISIT 2007) , Nice, France, June 24-29, 2007.
- A.D. Sarwate, K. Eswaran, A. Sahai, and M. Gastpar. Using zero-rate feedback on binary additive channels with individual noise sequences. Proceedings of the IEEE International Symposium on Information Theory (ISIT 2007) , Nice, France, June 24-29, 2007.
- K. Eswaran and M. Gastpar. On the Significance of Binning in a Scaling-Law Sense. Proceedings of the IEEE Information Theory Workshop (ITW 2006), Punta del Este, Uruguay, March 13-17, 2006, pp. 258-262.
- K. Eswaran and M. Gastpar. Achievable Error Exponents in Multiterminal Source Coding. Proceedings of the Conference on Information Sciences and Systems (CISS 2006), Princeton, NJ, March 22-24, 2006.
- K. Eswaran and M. Gastpar. On the Quadratic AWGN CEO Problem and Non-Gaussian Sources. Proceedings of the IEEE International Symposium on Information Theory (ISIT 2005), Adelaide, Australia, September 4-9, 2005.
- K. Eswaran and M. Gastpar. Rate Loss in the CEO Problem. Proceedings of the Conference on Information Sciences and Systems (CISS 2005), Baltimore, MD, March 16-18, 2005.
Tehnical Reports/Theses
- K. Eswaran, A.D. Sarwate, A. Sahai, and M. Gastpar, Binary additive channels with individual noise sequences and limited active feedback. Technical Memorandum UCB/EECS-2007-5, EECS Department, University of California, January 8, 2007.
- K. Eswaran. Remote Source Coding and AWGN CEO Problems. Master's thesis, 2005.
Teaching
In the fall of 2003, I was a Graduate Student Instructor for EE120: Signals and Systems. During my undergraduate years, I held office hours for an intermediate programming class and was an HKN class tutor for discrete-time signal processing.
Academic Development
In the summer of 2006, I participated in the MSRI Summer Graduate Workshop: Mathematical aspects of computational biology at the Mathematical Sciences Research Institute (MSRI) in Berkeley, CA. In the summer of 2008, I attended the First Annual School of Information Theory at the University Park Campus, Penn State University.