CV Lattes
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Universidade Estadual de Campinas (UNICAMP). Instituto de Matemática, Estatística e Computação Científica (IMECC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
bachelor's at Sistemas de Informação from Universidade Paulista (2005), master's at Mathematics from Universidade Estadual de Campinas (2010) and doctorate at Mathematics from Universidade Estadual de Campinas (2014). Has experience in Ap, plied Mathematicsacting on the following subjects: fuzzy set theory, lattice computing, morphological neural network, pattern recognition, classification, and mathematical morphology. (Source: Lattes Curriculum)
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Fuzzy set theory is a mathematical field designed to analysing and processing sets (concepts) with uncertain boundaries. Recently, researchers have investigated solutions of dynamic systems in which their parameters and/or variables have values into the class of fuzzy numbers (R_F). In this project, we will develop a new theory of fuzzy differential and integral calculus for dealing with …
This project aims to develop a fuzzy rule-based system to support the decision-making of healthcare professionals in the diagnosis of Autism Spectrum Disorder (ASD). In Brazil, the diagnosis of ASD is made through the application of a series of specific tests and procedures established by World Health Organization (WHO). Although there is a protocol for applying some tests, many of them i…
Fuzzy set theory is a mathematical field designed to analysing and processing sets (concepts) with uncertain boundaries. Recently, researchers have investigated solutions of dynamic systems in which their parameters and/or variables have values into the class of fuzzy numbers on time scales. In this project, we propose new definitions for derivative of fuzzy functions on time scales, wher…
Associative memories (AMs) are mathematical models geared to storing desired input-outputpairs called fundamental memories. In addition, some error correction capability is also desiredfor an AM model. In this project we will investigate in detail a class of AMs called $\Theta$-fuzzy associative memories ($\Theta$-FAMs), that correspond to mappings between classes of fuzzy sets given by t…
Recently, the importance of computational intelligence methods based on lattice theory has been increasing since many classes of information granules such as fuzzy sets, intervals, interval-valued and intuitionistic fuzzy sets, etc., represent lattices. In particular, we developed the morphological perceptron with competitive learning (MP/CL) in order to solve classification problems in a…
The theory of morphological neural networks and their applications have witnessed a continuous growth in the last few years. In this context, calculating the next state of a neuron or performing the calculationof the next layer involves one of the four elementary operations of mathematical morphology:erosion, dilation, anti-erosion, and anti-dilation. In its most general form, mathematic…
| 1 / 1 | Completed research grants |
| 2 / 2 | Ongoing scholarships in Brazil |
| 3 / 3 | Completed scholarships in Brazil |
| 6 / 6 | All research grants and scholarships |
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