CV Lattes
ResearcherID
ORCID
Google Scholar Citations
Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
I obtained a Bachelor of Science in Electrical Engineering (B.S.E.E.) from IME Brazil in 1989 and a Doctorate in Biomedical Engineering from COPPE/UFRJ Brazil in 2000. I currently occupy the role of Full Professor at the State University of Sao Paulo in Brazil. My research focuses on statistical signal processing, causal and probabilistic models, computationally intensive algorithms, resilience analysis, and system planning. (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) |
Health systems form a complex structure whose understanding and modeling involve multiple factors and their relationships. Brazil's demographic diversity makes Health Management an even more challenging scenario. On the other hand, overcoming them can produce significant advances for Health in Brazil and worldwide. Advanced Artificial Intelligence (AI) methods have generated significant d…
This proposal aims the creation of a National Institute of Science and Technology to deal with cooperative autonomous systems (INCT- SAC). Motivated by Brazil’s large territory and population size, wide-ranging geographic features, and economic and social issues, we intend to solve problems related to security and environment. This INCT will address some of these challenges by proposing n…
The resilience and reliability analysis of electric power systems in response to failures and disruptive events is an area of growing interest today, as these systems are considered Critical Infrastructures (CIs), whose full functioning is essential for society. In particular, given the interest in analyzing how a given variable affects both other variables and the response of the system …
Honey bees are insects that, despite being simple at an individual level, show complex social behavior and communicate with each other and with the queen bee through sound signals, vibration in the honeycombs and even through behavioral signs (e.g. waggle dance) (Seeley, 2010). Developments in the area of precision apiculture and in biological research about the susceptibility of these i…
Complex systems resilience became an extremely important subject lately, and it is already applied on different knowledge fields. In this project, it is intended to apply those concepts in the electric power systems, using complex networks, along with graph theory, to represent an electrical grid, and to analyses its resilience when failure is detected. Those failures can change in number…
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…
(Only some records are available in English at this moment)
Power distribution systems are critical infrastructures that play a vital role in providing reliable electricity to society. Assessing the resilience of these systems is crucial for maintaining their stability in the face of disruptive events. Probabilistic frameworks, such as Bayesian Networks, have emerged as valuable tools for evaluating the resilience of critical infrastructures. Howe…
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 …
Complex systems are composed of different elements, but in opposition to other systems, their overall behavior appears as a non-trivial combination of their parts. As they are organized without any general rule, such phenomena are seen both in nature and in modern engineering systems, and their behavior is related to the connectivity and dynamics of the elements. Resilience is related to …
(Only some records are available in English at this moment)
| 1 / 1 | Ongoing grants |
| 5 / 3 | Completed research grants |
| 1 / 1 | Ongoing scholarships in Brazil |
| 9 / 6 | Completed scholarships in Brazil |
| 4 / 4 | Completed scholarships abroad |
| 20 / 15 | All research grants and scholarships |
| Associated processes | |