CV Lattes
ResearcherID
Google Scholar Citations
Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Faculdade de Engenharia (FEIS) (Institutional affiliation from the last research proposal) Birthplace: Brazil
graduate at Matemática - Licenciatura Plena from Universidade Federal de Mato Grosso do Sul (1997), master's at Electric Engineering from Universidade Estadual Paulista Júlio de Mesquita Filho (2000) and ph.d. at Engenharia Elétrica (Ilha Solteira) from Universidade Estadual Paulista Júlio de Mesquita Filho (2005). Has experience in Electric Engineering, focusing on Transmission of the Electric Energy, Distribution of the Electric Energy, acting on the following subjects: jogos matemáticos, redes neurais artificiais, previsão de cargas elétricas, ensino de matemática and lógica nebulosa. (Source: Lattes Curriculum)
| News published in Agência FAPESP Newsletter about the researcher |
| More itemsLess items |
| TITULO |
| Articles published in other media outlets ( ): |
| More itemsLess items |
| VEICULO: TITULO (DATA) |
| VEICULO: TITULO (DATA) |
The research project consists of the development of an intelligent system for the analysis of the structural integrity of an unbalanced rotor. The data are obtained through simulations performed on an experimental bench. To perform the simulations of the normal (base-line) and abnormal (structural failure) conditions of the unbalanced rotor, the mass of the structure is added, causing the…
In this project it is proposed the application of artificial immunological systems to analyze the structural integrity of a building. This issue becomes important as the techniques used in monitoring structural failures have provided benefits in terms of increased life safety and also in assisting companies responsible for building buildings, bridges and structures in general. Thus, the g…
Electric load forecasting is very important for planning and operation of power systems. Knowing the load in advance aids in electrical system performance, i.e. providing energy with quality, security and reliability. The traditional statistical methods available in the literature as for example ARIMA of Box&Jenkins are widely used for solving the prediction problems, however Artificial N…
| 2 / 0 | Completed research grants |
| 5 / 3 | Completed scholarships in Brazil |
| 7 / 3 | All research grants and scholarships |
| Associated processes | |