Ulisses Braga Neto

Ulisses M. Braga Neto
Ulisses M. Braga Neto
Born	February 12, 1971; Recife, Brazil
Nationality	American
Alma mater	The Johns Hopkins University, Universidade Estadual de Campinas, Universidade Federal de Pernambuco
Spouse(s)	Flávia Braga
	Scientific career
Fields	Electrical Engineering, Machine Learning, Bioinformatics
Institutions	Texas A&M University, Fundação Oswaldo Cruz, University of Texas MD Anderson Cancer Center
Doctoral advisor	John Goutsias

Ulisses M. Braga Neto (born Feb 12 1971) is a Brazilian-American Electrical Engineer and is currently Professor of Electrical and Computer Engineering at Texas A&M University. His main research areas are statistical pattern recognition, machine learning, signal and image processing, and systems biology. He has worked extensively in the field of error estimation for pattern recognition and machine learning, having published with Edward R. Dougherty the first book dedicated to this topic.[1] He also made contributions to the field of Mathematical morphology in signal and image processing.

Biography

Braga Neto was born in Recife, Brazil in 1971. He received the baccalaureate degree in Electrical Engineering from Universidade Federal de Pernambuco in 1992, and the Master's degree, also in Electrical Engineering, from the Universidade Estadual de Campinas (UNICAMP) in 1994. He received an M.Sc. degree in Mathematical Sciences in 1998 and M.Sc. and Ph.D. degrees in Electrical and Computer Engineering, in 1998 and 2002, respectively, from The Johns Hopkins University. He worked as a post-doctoral researcher at the University of Texas MD Anderson Cancer Center, under the supervision of Louise Strong and Edward R. Dougherty. He worked at the Recife regional center of the Fundação Oswaldo Cruz from 2004-2007. He moved back to the U.S. in 2007, when he became an Assistant Professor of Electrical Engineering at Texas A&M University. He was promoted to Associate Professor of Electrical and Computer Engineering in 2013.

Work

Braga-Neto introduced, along with Edward R. Dougherty the notion of Bolstered Error Estimation.[2] He also invented the Boolean Kalman Filter [3] algorithm for partially-observed boolean dynamical systems (POBDS). In 2015, Braga Neto published, in collaboration with Edward R. Dougherty, the first book dedicated to the topic of error estimation for pattern recognition and machine learning.[1] He also made contributions to the field of Mathematical Morphology in signal and image processing, particularly on the topic of image connectivity and connected operators.

gollark: You can do fun stuff with light and superconductors, apparently, maybe those will go somewhere.

gollark: And quantum computing is NOT a general solution to things or very practical in consumer devices right now.

gollark: Density improvements continue, if more slowly.

gollark: * Also

gollark: Aso, become LyricLy, ISO 4683-1.

References

"Error Estimation for Pattern Recognition".
Braga-Neto, Ulisses; Dougherty, Edward (2004). "Bolstered error estimation". Pattern Recognition. 37 (6): 1267–1281. CiteSeerX 10.1.1.2.691. doi:10.1016/j.patcog.2003.08.017. Archived from the original on 2014-10-06.
Braga-Neto, Ulisses (2011). Optimal State Estimation for Boolean Dynamical Systems (PDF). Proceedings of the 45th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA.

This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.

[EEPR-1] "Error Estimation for Pattern Recognition".

[bolstered-2] Braga-Neto, Ulisses; Dougherty, Edward (2004). "Bolstered error estimation". Pattern Recognition. 37 (6): 1267–1281. CiteSeerX 10.1.1.2.691. doi:10.1016/j.patcog.2003.08.017. Archived from the original on 2014-10-06.

[bkf-3] Braga-Neto, Ulisses (2011). Optimal State Estimation for Boolean Dynamical Systems (PDF). Proceedings of the 45th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA.