CV Lattes
Universidade Federal de São Paulo (UNIFESP). Campus São José dos Campos. Instituto de Ciência e Tecnologia (ICT) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Master's in Biomedical Engineering (2025) and Computer Engineering (2022) from the Federal University of São Paulo (UNIFESP), São José dos Campos campus. He also has a degree in Science and Technology (2020) from the Federal University of São Paulo (UNIFESP). From 2021 to 2025, he conducted research involving the mathematical and computational modeling of COVID-19 indicators, under the guidance of Prof. Dr. Henrique Mohallem Paiva, permeating scientific initiation projects, undergraduate work and master's thesis. He was a FAPESP scientific initiation fellow, under the guidance of Prof. Dr. Luís Felipe Cesar da Rocha Bueno, with the project Optimization Methods applied to neural networks for anomaly detection in credit card transactions, from 2019 to 2020. He is interested in scientific computing, systems modeling and simulation, machine learning and computer engineering. (Source: Lattes Curriculum)
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In this project, it is intended to study optimization methods, especially stochastic algorithms, applied to the training of neural networks. In a recent paper proposed by BUENO, L. F. and MARTÍNES,J. M., "On the complexity of solving feasibility problems", 2018, a first-order algorithm was presented with good complexity results for least squares problems. One of this project's research ma…
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