Mateus Gheorghe de Castro Ribeiro

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Produções bibliográficas

• DE SOUZA, LUIS PAULO BRASIL ; FERREIRA, GUILHERME REZENDE BESSA ; CAMERINI, ISABEL GIRON ; CORREIA, TIAGO DE MAGALHÃES ; RIBEIRO, MATEUS GHEORGHE DE CASTRO ; HIDALGO, JUAN ANDRÉS SANTISTEBAN ; DE SÃO JOÃO, BRUNO LIMA DAVICO ; LLERENA, ROBERTH WALDO ANGULO ; KUBRUSLY, ALAN CONCI ; AYALA, HELON VICENTE HULTMANN ; BRAGA, ARTHUR MARTINS BARBOSA ; BATISTA, JOÃO HUMBERTO GUANDALINI . Machine learning-based cement integrity evaluation with a through-tubing logging experimental setup. Geoenergy Science and Engineering , v. 227, p. 211882, 2023.

• CALDERANO, PEDRO H. S. ; MATEUS GHEORGHE, DE CASTRO RIBEIRO ; TEIXEIRA, RODOLFO S. ; FINOTTI AMARAL, RENAN P. ; MENEZES, IVAN F. M. . Type-1 and singleton fuzzy logic system binary classifier trained by BFGS optimization method. Fuzzy Optimization and Decision Making , v. x, p. x, 2022.

• FERREIRA, GUILHERME REZENDE BESSA ; DE CASTRO RIBEIRO, MATEUS GHEORGHE ; KUBRUSLY, ALAN CONCI ; AYALA, HELON VICENTE HULTMANN . Improved feature extraction of guided wave signals for defect detection in welded thermoplastic composite joints. MEASUREMENT , v. 198, p. 111372, 2022.

• RIBEIRO, MATEUS GHEORGHE DE CASTRO ; KUBRUSLY, ALAN CONCI ; AYALA, HELON VICENTE HULTMANN ; DIXON, STEVE . Machine Learning Based Corrosion-like Defect Estimation with Shear-Horizontal Guided Waves Improved by Mode Separation. IEEE Access , v. -, p. 1-1, 2021.

• CHAINOK, PHORNPOT ; DE JESUS, KARLA ; COELHO, LEANDRO ; AYALA, HELON VICENTE HULTMANN ; DE CASTRO RIBEIRO, MATEUS GHEORGHE ; FERNANDES, RICARDO J. ; VILAS-BOAS, JOÃO PAULO . Modeling and predicting the backstroke to breaststroke turns performance in age-group swimmers. Sports Biomechanics , v. ahead, p. 1-22, 2021.

• CALDERANO, PEDRO H. S. ; RIBEIRO, MATEUS G. C. ; AMARAL, RENAN P. F. ; VELLASCO, MARLEY M. B. R. ; TANSCHEIT, RICARDO ; DE AGUIAR, EDUARDO P. . An enhanced aircraft engine gas path diagnostic method based on upper and lower singleton type-2 fuzzy logic system. JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING (ONLINE) , v. 41, p. 70, 2019.

• CORREIA, T.M. ; SOUZA, L.P.B. ; HIDALGO, J. A. S. ; RIBEIRO, M. G. C. ; CAMERINI, I. G. ; SOUSA, B. G. ; KUBRUSLY, A.C. ; AYALA, H. V. H. ; BATISTA, J. H. G. ; ALMEIDA, R. V. . Analytical and numerical modeling of throughtubing acoustic logging. In: Rio Oil & Gas Expo and Conference 2020, 2020, Rio de Janeiro. Rio Oil & Gas Expo and Conference, 2020.

• DE CASTRO RIBEIRO, MATEUS GHEORGHE ; KUBRUSLY, ALAN CONCI ; AYALA, HELON VICENTE HULTMANN . Damage Detection in Composite Plates with Ultrasonic Guided-waves and Nonlinear System Identification. In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020, Canberra. 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020. p. 2039.

• DE CASTRO RIBEIRO, MATEUS GHEORGHE ; CALDERANO, PEDRO HENRIQUE SOUZA ; AMARAL, RENAN PIAZZAROLI FINOTTI ; DE MENEZES, IVAN FABIO MOTA ; TANSCHEIT, RICARDO ; VELLASCO, MARLEY MARIA BERNARDES REBUZZI ; DE AGUIAR, EDUARDO PESTANA . Detection and Classification of Faults in Aeronautical Gas Turbine Engine: a Comparison Between two Fuzzy Logic Systems. In: 2018 IEEE International Conference on Fuzzy Systems (FUZZIEEE), 2018, Rio de Janeiro. 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2018. p. 1.

• RIBEIRO, M. G. C. ; KUBRUSLY, A.C. ; AYALA, H. V. H. . Damage Detection in Composite Plates with Ultrasonic Guided-waves and Nonlinear System Identification. 2020. (Apresentação de Trabalho/Congresso).

• RIBEIRO, M. G. C. ; CALDERANO, P. H ; FINOTTI, R. P. ; MENEZES, I. F. M. ; TANSCHEIT, R. ; VELLASCO, M. M. B. R. ; AGUIAR, E. P. . Detection and Classification of Faults in Aeronautical Gas Turbine Engine: a Comparison Between two Fuzzy Logic Systems. 2018. (Apresentação de Trabalho/Congresso).

Projetos de pesquisa

• 2022 - Atual

  24/7 Carbon-Free Electrified Campus Fleet, Descrição: Stanford has completed the transition to 100 percent renewable electricity in March 2022, with on- and off-campus renewable electricity generation exceeding campus consumption on an annual basis. However, the campus is still plugged into the grid which carries carbon-based electricity. To completely eliminate emissions, Stanfords next challenge is to match its electricity consumption with carbon-free resources at all hours of the year. To begin, this project will demonstrate a 24/7 Carbon-Free Electrified Stanford Campus Fleet by developing a scalable platform that intelligently coordinates solar, storage, electric bus route assignments, and bus charging. Additionally, the platform also optimizes for minimizing energy costs, providing system resiliency, and uniformly distributing vehicle utilization. This platform also serves as the first transferable model for bus fleets in school districts, corporate campuses, and municipalities to become 24/7 carbon-free.. , Situação: Em andamento; Natureza: Pesquisa. , Integrantes: Mateus Gheorghe De Castro Ribeiro - Integrante / Ram Rajagopal - Coordenador.

• 2020 - 2022

  Engineering Applications of Machine Learning, Descrição: Machine learning has had in the recent past a considerable amount of research work both from academia and industry. The goal of the present project is to build upon solutions from the computer science community and bridge the gap from their conception to real-world engineering applications. Particular interest is devoted to (i) monitoring of equipment using heterogeneous field data; (ii) advanced control and identification of dynamical systems; (iii) predictive modeling.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Mateus Gheorghe De Castro Ribeiro - Integrante / Helon Vicente Hultmann Ayala - Coordenador / Alan Conci Kubrusly - Integrante / Leandro dos Santos Coelho - Integrante / Viviana Cocco Mariani - Integrante / Pedro Henrique Domingues - Integrante.

• 2019 - Atual

  Through-Tubing Logging Tool for Cement Quality Evaluation in Multistring Wells, Descrição: Aiming at applications in plugging and abandonment operations, the overall goal of this project is to develop a logging tool for the assessment of cement quality through multiple strings of casing. The specific objectives are: (i) To develop and validate, through small-scale tests, analytical and numerical models to design and analyze operations of acoustic inspection of the cement layer in wells with multiple strings of casing; (ii) to design and build a functional prototype of an acoustic logging tool for applications in through-tubing cement quality assessment.. , Situação: Em andamento; Natureza: Pesquisa. , Integrantes: Mateus Gheorghe De Castro Ribeiro - Integrante / Helon Vicente Hultmann Ayala - Integrante / Arthur Martins Barbosa Braga - Coordenador / Alan Conci Kubrusly - Integrante.

• 2017 - 2018

  Sistema de Inferência Fuzzy para Detecção e Classificação de Falhas em Turbinas a Gás Aeronáuticas., Situação: Concluído; Natureza: Pesquisa. , Integrantes: Mateus Gheorghe De Castro Ribeiro - Integrante / Eduardo Pestane de Aguiar - Coordenador / Pedro Henrique Souza Calderano - Integrante.