CV Lattes
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Universidade Federal de São Carlos (UFSCAR). Centro de Ciências Exatas e de Tecnologia (CCET) (Institutional affiliation from the last research proposal) Birthplace: Brazil
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)
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The extraction of properties related to the shape, appearance, and connectivity of blood vessels is of fundamental importance for disease diagnosis and current research regarding neurovascular coupling. Convolutional neural networks (CNNs) represent the state of the art for vessel analysis in digital images. However, it is common practice to train CNNs on small image datasets, which limit…
The vascular system has fundamental importance for many different types of animal tissues. Through the propagation of nutrients, oxygen, and blood cells, the vascular system helps in fighting diseases and inflammation, in the homeostasis of organisms, and in several other physiological processes. As a consequence, the characterization of blood vessels is of fundamental importance in the d…
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, ai…
Blood vessel characterization is of fundamental importance for studying pathologies that influence hemodynamics, and is also crucial for understanding the development and activity of the brain. Recent advances in microscopy improved the quality and resolution of the imaged samples, and the automated morphometry of blood vessels became crucial in this current scenario, given the increasing…
The computational study of biological neural networks, unlike the concept of neural networks in the area of machine learning, involves using the real properties of neurons to simulate the collective dynamics of neuronal cells. The main properties used involve data about the shape, dynamics, and connectivity of neurons. Several analyzes have been performed regarding this type of system in …
Changes and ruptures of blood vessels are associated with several diseases. In addition, the characterization of blood vessels is of great importance for understanding the growth and vascularization activity of cell tissues and neurons. Therefore, there is currently a high demand for computational methods that are able to accurately identify and characterize blood vessels in digital image…
Cities can be studied under the most diverse aspects, such as economic, social, political or geographic. The analysis of these different aspects, which tend to be interrelated, can lead to new guidelines for planning city improvements. In this project, two important aspects of cities will be studied: I) the geometry of regions bounded by streets, such as blocks and parks; II) the topology…
(Only some records are available in English at this moment)
| 2 / 1 | Ongoing grants |
| 3 / 3 | Completed research grants |
| 1 / 1 | Ongoing scholarships in Brazil |
| 6 / 6 | Completed scholarships in Brazil |
| 12 / 11 | All research grants and scholarships |
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