Information measures and estimation theory
In recent years, several interesting relationships have been discovered between the minimum mean-square error of estimation in additive Gaussian noise and information measures such as entropy, mutual information and relative entropy. Information theory leads to surprising new results in nonlinear filtering. Conversely, estimation theory enables some of the simplest known proofs of a number of classical Shannon theoretic results.
Sergio Verdú is the Eugene Higgins Professor of Electrical Engineering in Princeton University. A member of the U. S. National Academy of Engineering, Sergio Verdú is the recipient of the 2007 Claude E. Shannon Award, and the 2008 IEEE Richard W. Hamming Medal. His current research interests are in information theory.