| Carlos E. Thomaz |  |
| Grupo de
Processamento de Sinais e Imagens Departamento de Engenharia Eletrica Av. Humberto de Alencar Castelo Branco, 3972 - Assuncao Sao Bernardo do Campo - Sao Paulo - Brazil - CEP 09850-901 Office: K5-01 Tel: +55 (0)11 4353 2910 (ext. 2183) Fax: +55 (0)11 4109 5994 Email: my initials @fei.edu.br
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Short Biography: Carlos E. Thomaz is Professor of Statistical Pattern Recognition at the Department of Electrical Engineering, FEI University Center, Sao Paulo, Brazil. He is head of the Image Processing Lab at FEI. Carlos Thomaz received, in 1993, his B.Sc. degree in Electronic Engineering from Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil. After working for six years in industry, he obtained the M.Sc. degree in Electrical Engineering from PUC-Rio in 1999. In October 2000, he joined the Department of Computing at Imperial College London, UK, where he obtained the Ph.D. degree in Statistical Pattern Recognition in 2004. His main research interests are in Pattern Recognition, Cognitive Perception and Machine Learning and over these years he has published more than 140 journal and conference articles on these topics. Professor Thomaz was awarded, in 2012, a University of Nottingham Brazil Visiting Fellowship to work during three months in the Sir Peter Mansfield Magnetic Resonance Centre, UK. He has served as a member of organising and program committees at a number of national and international conferences. From 2015 to 2018, he was awarded a Newton Advanced Fellowship from the Royal Society, UK.
Research Opportunities
Our research activities are mainly related to high-dimensional data analysis. We essentially investigate, propose and implement statistical and machine learning methods to extract, visualize, understand and classify patterns on signal and information (visual and cognitive) processing. Some recent projects of our research group have been developed in collaboration with the Department of Computing, Imperial College London, UK, the Department of Computer Science, National Laboratory for Scientific Computing (LNCC), Brazil, and the Department of Paediatrics, Federal University of Sao Paulo (UNIFESP), Brazil. For further details, please see our Research or Image Processing Lab homepages, or contact me directly.
[Teaching, Research, Publications, Talks, Activities, FEI Face Database, News]
Recent works
C. E. Thomaz. Face-space concept revisited: A multilinear subspace learning of priori-driven physiognomic dimensions, January 2020 (in preparation).
L. R. S. Junior and C. E. Thomaz. Visual perception ranking of chess players. In proceedings of the 17th International Conference on Image Analysis and Recognition, ICIAR 2020, Springer LNCS, 8pp., Povoa de Varzim, June 24th-26th 2020 (to appear).
L. P. Carlini, J. C. A. Soares, G. V. T. Silva, T. M. Heideirich, R. C. X. Balda, M. C. M. Barros, R. Guinsburg and C. E. Thomaz. A visual perception framework to analyse neonatal pain in face images. In proceedings of the 17th International Conference on Image Analysis and Recognition, ICIAR 2020, Springer LNCS, 11pp., Povoa de Varzim, June 24th-26th 2020 (to appear).
L. P. Carlini, G. F. Miranda Junior, G. A. Giraldi and C. E. Thomaz. A new method of selecting safe neighbors for the Riemannian Manifold Learning algorithm, 8pp., March 2020 (in revision by the authors).
L. A. Ferreira, E. Ribeiro and C. E. Thomaz. A study on cortical activation patterns during listening of Brazilian music, 6pp., February 2020 (submitted).
M. C. M. Barros, C. E. Thomaz, G. V. T. Silva, J. C. A. Soares, L. P. Carlini, T. M. Heiderich, R. N. Orsi, R. C. X. Balda, P. A. S. O. Silva, A. Sanudo, S. Andreoni and R. Guinsburg. Identification of pain in neonates: the adults' visual perception of neonatal facial features, Pediatric Academic Societies Meeting, PAS 2020, Philadelphia, Pennsylvania, USA, May 2nd-5th 2020 (to appear).
Last updated: março 24, 2020. Copyright of these papers, reproduced here for timely dissemination of research information, is with the respective publishers.