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Universidade Estadual de Campinas (UNICAMP). Instituto de Economia (IE) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Received her B. Sc. degree in Applied Mathematics from the Federal University of São Carlos (UFSCar), SP, Brazil, in 1996. In 1998, she received her M. Sc. degree in Mathematics and Computation Science from the University of São Paulo (USP), SP, Brazil, and the PhD degree in electrical engineering from the University of Campinas (Unicamp), SP, Brazil, in 2000. Currently, she is a professor at the Department of Economic Theory, in the Institute of Economics (IE) of Unicamp. Her research interests include time series forecasting, fuzzy systems, neural networks, dynamic models, and nonlinear optimization. (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 purpose of the project is to join electric system prediction models and computational intelligence researchers to develop new approaches and to improve current methods to predict streamflow, load and electricity market. Streamflow, load and electricity market are key variables to plan and to effectively operate power and energy systems. In addition to classical statistical and stochas…
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The research aims to develop an agent-based macroeconomic model to analyze the effects of climate shocks on commodity sectors and to test policies aimed at reducing economic volatility. It includes the analysis of time series data from the Brazilian economy, the modeling of sectors such as electricity and agriculture, and the proposal of economic policies to mitigate climate impacts. The …
The aim of this project is to develop new contributions in the area of nonlinear systems modeling using fuzzy systems. The emphasis is on the development of a class of algorithms and analysis techniques for adaptive modeling. More specifically, the purpose is to develop new evolving systems modeling and analysis techniques. Evolving systems are of utmost importance because they provide me…
| 1 / 1 | Ongoing grants |
| 4 / 4 | Completed research grants |
| 1 / 1 | Ongoing scholarships in Brazil |
| 4 / 0 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 12 / 8 | All research grants and scholarships |
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