CV Lattes
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Universidade de São Paulo (USP). Escola Politécnica (EP) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Has Bachelor degree at Electrical Engineering from Universidade de São Paulo (2017) and Master's degree at Electrical Engineering from Universidade de São Paulo (2019). Has experience on the following subjects: Machine Learning, Signal Processing, Compressive Sensing, Identification of Nonlinear Systems and Acoustic Emission. (Source: Lattes Curriculum)
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Inferring the fraction of the population infected by an infeccious agent (attack rate) in real time is essential for monitoring emerging infectious diseases and predicting the trajectory of future epidemics. Estimating the attack rate is hindered by the high cost of mass testing, the delay in reporting test results in hospitalised patients, and the large proportion of non-reported asympto…
There is nowadays a deep interest in the development of techniques that allow continuous monitoring of a mechanical structure (structural health monitoring - SHM). The method of acoustic emissions for detection of faults is one of the main techniques used for SHM. The method has great sensitivity, but there is room for improvement of the algorithms for detection of faults, for estimatio…
This project addresses the pattern recognition problem by extending recent techniques in graphs, which have been used successfully in the context of image processing, by the usage of non-smooth connectivity functions in the framework of the Image Foresting Transform (IFT). The intended techniques will allow a broader view than that currently supported by the recent works involving the cla…
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