Lecturer (Prof. Dr.) (Associate 3) at the Federal University of Sao Carlos, Brazil, in the Department of Computer Science. Academic Background: Computational Physics (BS), Electrical Engineering (BSE, MS and PhD), and postdoctoral degree in electronic engineering. Research Areas: development of intelligent and fast architectures for image and video processing using FPGAs, genetic programming, robot vision, mathematical morphology, and manycore architetures. (Source: Lattes Curriculum)
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In this research project, it is intended to develop a framework, simple and intuitive to use, for studies and mapping simulations of stream applications (video/images), but not only, in many-core architectures, through the use of intelligent systems, in particular multiobjective GAs, for automatic generation of these maps, so that they can be executed concurrently, be fault tolerant, effi…
In this research project it is aimed to develop an automated system for generating digital circuits, dedicated to a given application, to be implemented in FPGA, based on the technique known as Cartesian Genetic Programming (CGP). By Considering that the best performance for a given algorithm is only achieved when it is implemented in hardware, such an approach may be useful as a compleme…
In the present scientific project is intended to continue the work of previous research (FAPESP: 2009/17736-4), which it was implemented an original architecture for image processing in real time. The developed architecture has been implemented in a FPGA, and it has low cost and low energy consumption. Furthermore, it can be reconfigurable through linear and non linear instructions that…
(Only some records are available in English at this moment)
In the literature, several Many-Core acceleration simulators and Network-on-Chip networks are described, which in turn have a high complexity of use by undergraduate students, as they use low-level hardware concepts, which requires a high degree of knowledge announced in high-performance computer architecture in general, thus generating a very deep learning curve and making their use for …
In this scientific initiation project, the objective is to use Cartesian genetic programming for pattern recognition in binary images, evolving operators that form morphological filters, in addition to performing such recognition also through convolutional neural networks. This will use several concepts covered in the Computer Engineering course, such as machine learning, evolutionary pro…
In this research project, it is intended to implement a flexible and dedicated system for the generation of digital circuits (combinational and sequential) in an automatic fashion directly into a FPGA. The development will be performed internally to the device in order to obtain resolutions to practical problems, thereby decreasing the system training time when compared to other approache…
(Only some records are available in English at this moment)
The maximum frequency of single-core processors has reached its operating limit, and chip makers have built multi-core chips, where each core operates at lower frequencies relative to chips containing only one core. In addition, with the demand for performance of complex applications growing very rapidly in recent years, there is an emerging need for multi-core and many-core processors th…
| 5 / 5 | Completed research grants |
| 7 / 7 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 13 / 13 | All research grants and scholarships |
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