Professor at the Institute of Science, Technology and Innovation (ICTIN) of the Federal University of Lavras (UFLA). Doctor in Electrical Engineering by the São Carlos School of Engineering, University of São Paulo (EESC-USP). He has a degree in Electrical Engineering from the São Carlos School of Engineering, University of São Paulo (EESC-USP). He has experience in the area of electrical engineering, with an emphasis on systems resilience, statistical modeling, meta-heuristics and quantization methods. (Source: Lattes Curriculum)
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Now a days there is a need for a statistical theory for signal analysis. To meet this need, in recent years Bayesian inference has been used, in which data is used to infer the structure and parameters of the Bayesian Network (which is a graphical description of the conditional probability among random variables). The Signal Processing Laboratory has a long history of work involving Bayes…
The study of system resilience is of great importance today. Within this study, it is highlighted the use of complex network models to analyze the resilience of real systems. In this project, we intend to use this representation to make the resilience analysis of self-healing systems. These systems have the ability to change their topology to recover themselves from a failure. In this wor…
The structural learning of Bayesian Networks (BN) is a problem that has a search space with a super-exponential characteristic. Parameter choices affect structural learning and thus need to be studied. Considering that the most commonly used algorithms for structural learning of BNs require the use of quantized discrete data, quantization has to be studied. There are works that study the …
| 2 / 2 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
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