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| Brief
Bio: Marcelo G. S. Bruno received the bachelor and master degrees in
Electrical Engineering from the University of Sao Paulo, Brazil, and the
Ph.D. degree in Electrical and Computer Engineering from Carnegie Mellon
University, Pittsburgh PA. From January 1999 until September 2001, he was a
postdoctoral fellow at the Communications and Signal Processing Laboratory
of the Polytechnic School of the University of Sao Paulo. Since October
2001, he has been affiliated with Instituto Tecnologico de
Aeronautica ITA, Sao Jose dos Campos, Brazil, where he is
currently an Associate Professor. He was also a visiting research scholar at
the Electrical and Computer Engineering Department at Carnegie Mellon
University in the summer of 1999, and in the winters of 2003 and 2005. Dr.
Bruno\'s research interests are in statistical signal/image processing,
particularly Markov random fields (Mrfs), hidden Markov models (HMMs),
particle filters/sequential Monte Carlo methods, Markov Chain Monte Carlo
(MCMC), Bayesian networks, and their applications in target detection and
tracking, image processing, computer vision, mobile robotics, sensor fusion,
and telecommunications. Dr. Bruno is a member of several IEEE Societies and
served as an Associate Editor for the IEEE Signal Processing Letters. |
| Focus: Machine Learning and Statistical Signal Processing |
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