- Research Grants
Received his B.S. (2012) and Ph.D. (2016) in Computational Physics from the University of São Paulo. Completed a postdoctoral research on Computational Physics at University of São Paulo (2017). His research interests are in image processing and network theory. Current research include detection and modeling of blood vessels and neurons from microscopy images, diffusion dynamics on graphs and modeling of real-world systems using complex networks. (Source: Lattes Curriculum)
The representation of natural and artificial systems according to their respective topology, using networks or graphs, has attracted increasing attention over the past years. The large body of work produced on the subject originated a new research area known as network theory. The objective of this project is to apply a series of recent results from network theory on biological images, ...
There has been an increasing interest in applying complex networks to model systems composed by many elements, specially in cases where such elements interact in a non-trivial manner. Many studies developed in the area aim at defining a model to explain certain properties of the connectivity, such as the degree distribution and community structure, and dynamics, such as phase transition...
The study of complex networks has been drawing much attention over the last years, especially because of its potential to characterize the most diverse systems through the same mathematical and computational tools. Since not much time ago the emphasis on this field was mostly the effects of the structural properties on the global behavior of a dynamic process taking place on the system....
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
|Data from Web of Science|