CV Lattes
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Ministério da Ciência, Tecnologia e Inovação (Brasil). Centro Nacional de Pesquisa em Energia e Materiais (CNPEM) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Bachelor (2012) and Master (2015) in Mathematics from the São Paulo State University. PhD in Applied Mathematics from the University of Campinas (2019). He works in the areas of Fuzzy Systems and Biomathematics, specifically working with numerical and analytical methods for solving fuzzy differential equations, fuzzy algebra, fuzzy neural networks and modeling of epidemiological and population problems with uncertainty. He currently works at the Brazilian Center for Research in Energy and Materials - CNPEM as a Researcher II and is a professor at Ilum School of Science. He is also a permanent professor of the Postgraduate Program in Mathematics at the São Paulo State University (PGMAT - IGCE/UNESP) and Coordinator of the Fuzzy Systems thematic committee of the Brazilian Society of Applied and Computational Mathematics (SBMAC). (Source: Lattes Curriculum)
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The fuzzy set theory was developed to analyze and characterize sets withvague frontiers. There are several ramifications within the area of fuzzy sets, in which this project dedicates to study two of them. The first one is the theory offuzzy differential equations (FDEs), in which the imprecision may be associated to the parameters involved, initial/boundary conditions or direction field…
The area of deep learning has been revolutionizing the large area of artificial intelligence (AI), through artificial neural network (ANN) models. Despite obtaining good results, ANNs lack interpretability, due to the large number of parameters in the models. In this context, there is a search for more interpretable ANNs, some of which incorporate the principles of fuzzy logic into the st…
This project proposes the study of modeling Inverse Problems using Fuzzy Cognitive Maps, aiming to understand the cognitive process involved in a network. Specifically, some of the uncertainties that exist in inverse problems arising from computed tomography will be addressed, using as scientific motivation some of the beamlines from the synchrotron light accelerator of the Brazilian Cent…
The fuzzy sets theory was introduced by Zadeh in 1965. From this theory an object can belong to a set with a certain degree of association, allowing to deal in a mathematical and computational way the uncertainty inherent to phenomena of nature. This project focuses on a subclass of fuzzy sets called fuzzy numbers (RF), which extends the definition of a real number. Fuzzy numbers play an …
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