CV Lattes
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Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Graduated in Mathematics from Universidade Estadual Paulista Julio de Mesquita Filho (1984), master's degree in Mathematics from the Pontifical Catholic University of Rio de Janeiro (1987), PhD in Mathematics from the Pontifical Catholic University of Rio de Janeiro (1992). He is currently Professor at the University of São Paulo. He has experience in the areas of Applied Mathematics, Computer Graphics and Computational Fluid Dynamics, acting on the following topics: numerical simulation of fluid flow, computational geometry and topology and mesh generation. (Source: Lattes Curriculum)
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The Generalized Combinatorial Marching Hypercubes (GCMH) algorithm was developed to calculate an approximation by a cellular complex of a manifold of any dimension and co-dimension, that is, a manifold of dimension n-k immersed in an n-dimensional space. This algorithm uses combinatorial and topological methods to avoid using expensive lookup tables and is therefore efficient in higher di…
Extrudate swell (ES) is a well-known phenomenon exhibited by viscous fluids exiting confined flow channels. This phenomena is of major interest in general polymer processing applications. For instance, the swelling phenomenon appears in the extrusion process when the melted polymer is pushed out of the extrusion die, which might distort significantly the extruded profile.Development of co…
The numerical simulation of applications in aeroelasticity and free surface flows share the following features: the need for the geometrical representation of complex domains, mesh manipulation and mesh interpolation. These problems are dealt with in the field of geometric modeling. On the other hand a common aspect to most fluid mechanics studies is that numerical and experimental resear…
This project aims to investigate the factors that affect the archiving of criminal investigations in Brazil, focusing on crimes against life. To achieve this, a database from the Public Consultation System of the Public Prosecutor's Office of the State of São Paulo (MPSP) will be used, enabling the extraction and structuring of relevant case information.The planned approach involves apply…
Geometric modeling is an essential area of Computer Graphics, enabling the representation and manipulation of objects in three dimensions. Implicit modeling, in particular, stands out for its ability to represent complex surfaces through mathematical equations, eliminating the need for explicit descriptions via meshes. This project aims to develop a modeler for high-dimensional manifolds,…
The analysis and prediction of crimes in urban environments pose significant challenges from a data science perspective. These challenges encompass temporal data dependencies, the inherent street graph structure, high granularity (down to street segment levels), and the sparse nature of data in both time and space. This project focuses on investigating and implementing a predictive model …
(Only some records are available in English at this moment)
Among the various types of crimes, cargo theftis of great interest due to its spatial characteristics, the high values involved, and the fact that this type of crime is committed by violent gangs, resulting, in many cases, in the kidnapping and death of drivers. This project aims to employ data science tools in the development of methodologies for identifying and extracting patterns relat…
The understanding of electro-osmotic flows is a tool of great importance for fields such as microfluidics and biochemistry. Solving the viscoelastic electro-osmotic Navier Stokes equations, which model fluid behavior during this phenomenon, poses many challenges, given that the constitutive models are non-newtonian. The case of biphasic or multiphasic flows adds even more complexity. This…
In this project it is proposed the study of improved numerical methods to simulate non-Newtonian flows. Despite recent advances in the computational rheology community, several numerical methods still deal with instability issues such as accuracy on solving constitutiveequations in complex geometries. The proposed project aims new hybrid approaches that combine asymptotic analysis, Lagran…
(Only some records are available in English at this moment)
This document is a proposal of a one year duration research project with the theme of nonlinear dimensionality reduction that will be executed by Dr. Lucas Moutinho Bueno. Dimensionality reduction consists of projecting high-dimensional data to a low-dimensional space using a specic method. When linear functions are used by a method to project the whole data to a low-dimensional space, we…
In the simulation of fluidic problems, there are two fundamental aspects: representation of the domain geometry and the construction of an approximation of governing equations to respect the boundary conditions at the boundary. Themost direct technique of geometry representation consists in generating a mesh that respects the contours, which implies a high complexity. If the mesh does no…
This research project aims to perform an Interactive Visual Analysis of data embedded on high-dimensional feature-spaces. The main goal of this project is to enable the user with interactive resources towards facilitating the metric learning process. The proposed methodology relies on the pre-imageand kernel theory supported by visualization resources. (AU)
| 10 / 3 | Completed research grants |
| 5 / 5 | Ongoing scholarships in Brazil |
| 29 / 10 | Completed scholarships in Brazil |
| 3 / 3 | Completed scholarships abroad |
| 48 / 22 | All research grants and scholarships |
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