CV Lattes
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Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação (FEEC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Received the B. S. degree in Computer Engineering in 2008, the M. S. degree in Electrical Engineering in 2010 and the PhD in Electrical Engineering in 2013, all from the University of Campinas, São Paulo, Brazil. Currently, he works as an Associate Professor (MS 5.1) at the School of Electrical and Computer Engineering (FEEC) at the same university. His main research interests include computational intelligence, machine learning, signal processing and adaptive filtering. (Source: Lattes Curriculum)
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This master's project focuses on the study of pattern recognition techniques in the context of electrocardiogram (ECG) signals, with a primary emphasis on detecting cardiovascular diseases (CVD). CVDs are the leading cause of death worldwide, with a significant portion of these deaths occurring in low and middle-income countries.The pattern recognition technique to be studied in the propo…
The application of deep neural networks in brain-computer interfaces (BCIs) has intensified, mainly due to these models' potential to analyze raw electroencephalogram (EEG) signals. In particular, convolutional neural networks (CNNs), which have excelled in image classification and speech recognition, have also been explored.In this context, using interpretable architectures that perform …
The problem of blind source separation consists in extracting several signals (sources) from the set of collected observations, which are composed of mixtures of the signals thereof. The term blind indicates that there is a minimum amount of available information about the mixing system and/or about the sources, which makes the problem quite challenging. A well-established approach for so…
The possibility of using information-theoretic learning (ITL) methods to supervised filtering can be regarded as attractive as it enables a more effective exploitation of the statistical information concerning the reference signal and the inputs of the filter.From a structural standpoint, an interesting example that aims at exploring the statistical properties of the signals in a more ext…
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