alexa Carlos Eduardo Thomaz | OMICS International
ISSN: 2155-9562

Journal of Neurology & Neurophysiology
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Carlos Eduardo Thomaz

 Electrical Engineering Department of FEI, Brazil
Biography

 He is working as an Professor of Statistical Pattern Recognition at the Department of Electrical Engineering, Centro Universitario da FEI (FEI-SP), Sao Paulo, Brazil. He is also a CNPq Research Fellow and head of the Image Processing Lab funded by FAPESP at FEI.  In 1993,He received his B.Sc. degree in Electronic Engineering from Pontifical Catholic University of Rio de Janeiro (PUC-RJ), Rio de Janeiro, Brazil.  After working for six years in industry, he obtained the M.Sc. degree in Electrical Engineering from PUC-RJ in 1999.  In October 2000, he joined the Department of Computing at Imperial College London where he obtained the Ph.D. degree in Statistical Pattern Recognition in 2004.  He was a Research Associate at the Department of Computing, Imperial College London, from December 2003 to January 2005 working in the UK EPSRC e-science project called Information eXtraction from Images (IXI).  In 2012, he was awarded a University of Nottingham Brazil Visiting Fellowship to work in the Sir Peter Mansfield Magnetic Resonance Centre from middle April to the first week of July. His general interests are in Statistical Pattern Recognition, Computer Vision, Medical Image Computing, and Machine Learning, whereas his specific research interests are in limited-sample-size problems in pattern recognition.

Research Interest

 Our research activities have been mainly related to high-dimensional and limited sample size problems. In these problems, quite common nowadays, especially in signal processing, the number of samples is less than or comparable to the dimension of the feature space and consequently the performance of classical techniques tends to deteriorate. Therefore, in the last 10 years, we have been very much involved in proposing and implementing statistical pattern recognition algorithms to understand the high dimensional and sparse data space. Some of these projects have been developed in collaboration with the Departments of Psychiatry and Radiology, University of Sao Paulo (FM-USP), the Department of Computing, Imperial College London, the Department of Computer Science, National Laboratory for Scientific Computing (LNCC-RJ), and the Center of Mathematics, Computation and Cognition, Federal University of ABC (UFABC). For further information, please see our Research or Image Processing Lab homepages, or contact me directly.

Publications

EEG Brain Mapping of Normal and Learning Disabled Children Using Factor and Linear Discriminant Analyses

Fábio Theoto Rocha, Eduardo Massad, Carlos Eduardo Thomaz and Armando Freitas da Rocha

Review Article: J Neurol Neurophysiol, 6:262

DOI: 10.4172/2155-9562.1000262

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