CV Lattes
ResearcherID
ORCID
Universidade de São Paulo (USP). Escola Politécnica (EP) (Institutional affiliation for the last research proposal) Birthplace: Brazil
graduate at Ciência da Computação from Universidade de São Paulo (1987), master's at Computer Science from Universidade de São Paulo (1992) and PhD at Electric Engineering from Universidade de São Paulo (2002). He is currently Associate Professor at Universidade de São Paulo. Has experience in Computer Science, acting on the following subjects: distributed database, data science, big data, computer system modeling, biodiversity informatics, agricultural automation and electronic government. (Source: Lattes Curriculum)
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Scientific advances depend on the availability, accessibility and reusability of data, software, samples, and data products. Yet large amounts of data on the Earth are not well preserved or preserved at all. This proposal will address these questions by supporting the collaboration of a synthesis-science team and data-science team. We will conduct a trans-disciplinary, trans-national synt…
The digital transformation is still little consolidated in Brazilian society. Improvements in performance and differentiation resulting of such transformation have not yet been fully absorbed in companies and in the public administration. In general, solutions required for implementing the digital transformation in cities and in manufacturing processes combine advanced connectivity and au…
The V Workshop on Data Science (WDS) will take place during February 18th to 20th, 2020, in São Paulo (SP), simultaneously at the Escola Politécnica da Universidade de São Paulo (EPUSP) and São José dos Campos (SP), at the Instituto de Pesquisas Espaciais - INPE. The lectures will attend by local participants (São Paulo - SP) and remotely via the web (São José dos Campos - SP). The worksh…
Large scale field observational projects are collecting climate and biological data, these collections are typically done at the local-scale, developing a hybrid data with both climate and biodiversity data will enable new integrated research to answer some key scientific questions such as how local aerosol and other climate parameters are related to biodiversity parameters in broad and n…
Large scale field observational projects are collecting climate and biological data, these collections are typically done at the local-scale, developing a hybrid data with both climate and biodiversity data will enable new integrated research to answer some key scientific questions such as how local aerosol and other climate parameters are related to biodiversity parameters in broad and n…
(Only some records are available in English at this moment)
The main goal of this project is to develop a data-science model that will provide a cyberinfrastructure based on integrated management and the data life cycle used for the analysis and visualization of biological, biodiversity, climate and socioeconomic data available of Protect Areas in Brazil. The challenge of this research plan is the identification, mapping, and understanding of the …
In this PhD research project proposes the development of high volume data management and system analysis for the management of contaminated areas to digital plan transformations, intelligent cities, and sustainable. Applications of this development involve soil remediation methods, emergency actions, among other types of interventions made by specialists and/or entities working on these c…
The advent of big data brought the need to develop efficient methods and algorithms for knowledge discovery in databases. Particularly, data on atmospheric sciences originate from a variety of platforms, from in situ observations to remote sensing and model outputs, which contribute to enhance the variability and complexity of the datasets. There is a need in the atmospheric science commu…
| 3 / 3 | Ongoing research grants |
| 6 / 6 | Completed research grants |
| 2 / 2 | Ongoing scholarships in Brazil |
| 5 / 2 | Completed scholarships in Brazil |
| 16 / 13 | All research grants and scholarships |
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