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 Computer Science from the Federal University of São Carlos (1988), Master in Computer Science and Computational Mathematics from the University of São Paulo (1991) and Ph.D. in Biomedical Engineering - Imperial College - University of London (1996). He was on sabbatical for 12 months (2013/2014) at Saint Mary's Hospital (Imperial College - London), where he developed research in biomedical systems. He is currently an MS-3 professor at the University of São Paulo, in the city of São Carlos. Has experience in Computer Science, focusing on Image Processing, acting on the following subjects: segmentation, feature extraction, and pattern recognition. Currently, he has guided and developed works in image segmentation and numerical methods for mesh generation and extraction of important points. (Source: Lattes Curriculum)
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Singularity theory deals with the study of singular varieties and mappings. It is a well established theory and gained wide interestdue to its applications to various areas of science and its interaction with several areas of mathematics. It has applications to, among others, optics, robotics and computer vision. The project has four central research directions: one deals with problems in…
The world's population expands rapidly and will reach 8,5 billion people in 2030, compared to 7.3 billion today, due to improvements in public health and reduction of child mortality. With such a significant growth of the world population, food supply becomes vital. Agriculture plays a vital role in providing food in society and the economy; however, monitoring soil nutrients for good pro…
(Only some records are available in English at this moment)
One of the current challenges in image processing and computer vision is the mapping of robust characteristics between two- and three-dimensional spaces. This process can be simplified by reducing the amount of information, representing curves from points (called robust characteristics or important points). From robust features, curves can be reconstructed with a minimum error. To that, i…
Low emission electron microscopy is a powerful modality for surface analysis, for it is capable of revealing, in real time, visible phenomenaon videos. However, this investigation on LEEM videos demands a very accurate segmentation throughout the many frames. As a relatively new technique, experts on this field still lack of computational tools that can perform reasonably. Currently, expe…
Computed tomography plays a key role in the diagnosis and treatment analysis, for example, changes in skull over time for applications in dentistry. This process is conducted by dentists, and consists of the use of tools that manipulate 3D data and generate segmentations of important anatomical structures. However, these tools are not satisfactory, since many targets produce false positiv…
(Only some records are available in English at this moment)
This research project proposal is a requirement for a Research Internship Scholarship (BEPE) application, to be conducted at the University of California, Davis (UC Davis), USA, from September 1, 2015 to August 1, 2016. The work will be supervised by Prof. Bernd Hamann, from the Institute of Data Analysis and Visualization (IDAV). Computed Tomography plays a key role in Orthodontia, allow…
Image segmentation plays an important role in many medical applications such as content-based image retrieval, detection of lesions, image registration, identification of structures for surgical simulation and image guided surgery. A wide variety of image segmentation methods can be found in the literature. Among those, there are some based on graphs, in which each node represents a pixel…
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| 8 / 6 | Completed scholarships in Brazil |
| 2 / 2 | Completed scholarships abroad |
| 16 / 14 | All research grants and scholarships |
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