My research balances both computational challenges and their applications. Besides always aiming at excellence and impacting publications in Computer Science, I am especially interested in inter-, cross-, multidisciplinary research. I see the connection with other areas of knowledge as an opportunity to develop cutting-edge research with high possibilities for impacting directly on economic, social, and environmental aspects.
Ph.D. in Computer Science, 2013
Université de Cergy-Pontoise (ENSEA, France) & University of Campinas (Unicamp, Brazil)
M.Sc. in Computer Science, 2009
University of Campinas (Unicamp, Brazil)
B.Sc. in Computer Science, 2006
Universidade Estadual de Mato Grosso do Sul (UEMS, Brazil)
My research is carried out through the activities of the Patreo laboratory. Take a look at the projects I’m currently involved as Principal Investigator:
It aims to address the problem of pattern recognition for the creation of thematic maps via supervised learning in large sets of images from small annotated data sets.
This project address the challenges for the effective use of supervised learning in dense pixel labeling in real-world applications by increasing the robustness of the models.
It proposes the development of new approaches to deal with the processing of large sets of images but which have restrictions regarding the number of labeled samples.
In recent years, I have been teaching in the following courses: