CV Lattes
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Universidade de São Paulo (USP). Instituto de Física de São Carlos (IFSC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
graduation at Engenharia Elétrica Eletrônica from Universidade de São Paulo (1984), graduation at Bacharelado em Ciência da Computação from Universidade Federal de São Carlos (1985), master's at Física Aplicada from Universidade de São Paulo (1987) and doctorate at Engenharia Eletrônica from University of London (1992). Has experience in Physics, acting on the following subjects: análise de formas, visão por computador, análise de imagens, complex networks and redes complexas. (Source: Lattes Curriculum)
| Articles published in Pesquisa FAPESP Magazine about the researcher: |
| The Voynich manuscript |
| The Voynich manuscript |
| El código Voynich |
| El código Voynich |
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| News published in Agência FAPESP Newsletter about the researcher |
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Computer Vision methods are used to extract information from images and videos, but their contextual elements are not always sufficient to extract correct and accurate information. In these cases, content from other sources and types of data such as audio and text, or other information external to the data, such as a priori knowledge, can be used to complement and enrich the context of th…
This project focuses on a unified strategy for knowledge and emerging dynamics discovery in Computational Science using intermediate representations. The intended applications are in areas characterized by large volumes of data in which knowledge discovery implies the transition from raw data bases for intermediate representations (usually feature vectors and graphs), thus allowing for th…
This project aims to develop new ways to model complex network evolution, and will build on synergies between research at USP-Sao Carlos on network evolution and work at York on the spectral characterisation of graphs. In the first year of the project we will study how characterisations of graphs based on the eigenvalues and eigenvectors of the node-based Laplacian matrix evolve with time…
Modern science is increasingly interdisciplinary and data intensive. In the area of life sciences, for example, with the emergence of high-performance platforms for image analysis and genomic studies, the bottleneck is not in data acquisition, but rather in its storage, processing, analysis and visualization. This scenario has led to the emergence of a new field of research-eScience-which…
(Only some records are available in English at this moment)
One of the main aspects underlying the scientific understanding of reality is mathematical modeling, in other words, the representation process of real systems through logic-mathematics abstractions. An important element in these abstractions are graphs, also studied in complex networks, an area that underwent great advances in the last few decades thanks to its versatility to many applic…
Nowadays, different types of data on cities are massively and decentrally produced, given improved technologies and reduced cost of image acquisition sensors. Two approaches are frequent in the use of visual data as a source of information about cities. In the first case, computer vision techniques are used and characteristic analyzes extracted from images are performed. In the second cas…
Many types of systems can be represented as complex networks, from biological structures, such as neuronal networks, to systems that were created by the human beings, such as power grid networks. Distinct respective interpretations and measurements were proposed in the literature. As an alternative and a complement of the already used methods, this project proposes a better exploration an…
(Only some records are available in English at this moment)
In the last century, network science has found different applications in real world problems, such as social sciences, transportation and epistemology. This system abstraction considers as fundamental elements the nodes and their connections. It has been observed that most real-world networks present a modular structure, i.e., entities are more interconnected within a group than to entiti…
Many different types of dynamics have been studied in network science. Among the dynamics that consider social networks, one crucial subject consists of opinion dynamics. Different approaches consider specific characteristics of the interaction between people. For example, there are models devoted to the formation of echo chambers, also known as social bubbles. Interestingly, some of thos…
Representing and modeling information has become a pivotal part of modern science. Most of the interesting problems today originates from complex systems that are not isolable neither dependent solely on a single discipline. In fact, for this kind of problems, it has become hard to even guess where a discipline ends and another starts. A contributing factor to this trend is the need of me…
| 1 / 1 | Ongoing grants |
| 14 / 8 | Completed research grants |
| 44 / 18 | Completed scholarships in Brazil |
| 3 / 3 | Completed scholarships abroad |
| 62 / 30 | All research grants and scholarships |
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