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
bachelor's at Engenharia Elétrica from Universidade Estadual de Campinas (1999), master's at Electric Engineering from Universidade Estadual de Campinas (2001) and doctorate at Electric Engineering from Universidade Estadual de Campinas (2005). Has experience in Computer Science, acting on the following subjects: separação de fontes, computação evolutiva, filtragem adaptativa, equalização cega and ica. (Source: Lattes Curriculum)
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The Brazilian Institute of Data Science (BI0S) is a research center with the main purpose to develop state-of-the-art solutions in data science and artificial intelligence (AI), solving relevant problems and connecting academia, companies, startups, society and the public sector in an integrated innovation ecosystem. It will contribute to scientific, technological and social development, …
The state of São Paulo is served by 7 distribution concessionaries in the market for the supply of electrical energy, each with its own consumption and demand bill model, which results in the need for customized data extraction regarding the Groups A and B, and Blue and Green ranges. Moreover, the open energy market have certain peculiarities. As a reference, the Executive Branch of São P…
One of the objectives of CPTEn is to provide assistance to public management, consolidating decision-making based on data regarding issues of electrical consumption and promoting conscious energy consumption by the public sector, strengthened by Decree 10,779 of 25/August/2021. To this end, a monthly updated database is planned with the electricity bills of all public organs in the State …
The problem of channel equalization is a central task in the context of communications, as well as in several practical domains related to signals and systems. Although the use of linear filters in this problem has an important historical / theoretical role, the constant search for performance improvement and the progress of hardware has led to many proposals and applications based on non…
Neural networks are part of a well-established research field within the broad subject of machine learning. In the last years, this field has received a great deal of attention due to the growing interest in deep neural networks (DNNs). These networks have a structure characterized by the presence of several processing layers, which are responsible for a feature extraction process that, i…
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The nonlinear blind source separation (BSS) problem is a challenging research topic and, differently from the linear case, its development has not reached a general separation framework. Among the reported nonlinear models, we highlight two instances that are crucial for the present project: (i) post-nonlinear (PNL) mixtures and (ii) contexts of separation of colored sources using signal …
In this project, we will analyze theoretical and practical aspects of nonlinear blind source separation, with an emphasis on polynomial models and chemical sensors. The project will be supervised by Prof. Christian Jutten, a leading authority and a pioneer in this field of research. (AU)
| 1 / 1 | Ongoing grants |
| 1 / 1 | Ongoing scholarships in Brazil |
| 20 / 12 | Completed scholarships in Brazil |
| 2 / 2 | Completed scholarships abroad |
| 25 / 17 | All research grants and scholarships |
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