Narayana Santhanam has been with the University of Hawaii since 2009, and is currently an Associate Professor in the Department of Electrical Engineering. He obtained his B.Tech from the Indian Institute of Technology, Chennai (then Madras) in 2000; MS and PhD from the University of California, San Diego in 2003 and 2006 respectively. From 2007-2008, he held a postdoctoral position at the University of California, Berkeley. His research interests lie in the intersection of information theory and statistics, with a focus on the undersampled/high dimensional regime and including applications to finance, biology, communication and estimation theory. He is the recipient of the 2006 Information Theory Best Paper award from the IEEE Information Theory Society along with A. Orlitsky and J. Zhang; as well as the organizer of several workshops on high dimensional statistics and \"big data\" problems over the last five years. He is currently a core CSoI member representing the University of Hawaii at Manoa.
Profile updated: Thu Dec 3, 2015
Source(s): 'Statistics of slow mixing Markov processes with applications to community detection' Carnegie Mellon University. Thu Dec 3, 2015. https://www.ece.cmu.edu/news/calendar/2015/09/ece-grad-seminar-narayana-santhanam.html