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Research activities


His research activities are centered around statistical signal and image processing, with a particular interest on Markov Chain Monte Carlo (MCMC) methods and on Detection and Classification.

Publications

List: here

Bayesian methods and MCMC algorithms


Markov Chain Monte Carlo (MCMC) methods are simulation methods which can be used efficiently to solve problems inherent to Bayesian estimation and classification.  Some of my activities are summarized below


Detection and Classification


Detection and classification have been important research topics in the group for a long time. Here are summarized some recent activities

Publications

List: here

PhD Students

Current

Past