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Americo CUNHA JR
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Documents
Identifiants chercheurs
- americo-cunha-jr
- ResearcherId : D-5261-2009
- 0000-0002-8342-0363
- Google Scholar : http://scholar.google.com/citations?user=4r36RpoAAAAJ&hl=en
- IdRef : 253121612
Présentation
**Associate Professor of Applied Mathematics**
**[Rio de Janeiro State University - UERJ](http://www.uerj.br)**
The focus of our research group is directed to the interplay between mathematics, engineering, physics, and computational sciences, seeking to solve complex interdisciplinary problems in engineering and applied sciences. We are interested in both, basic research and applications, with special attention to the following topics:
- **Nonlinear Dynamics**
- **Uncertainty Quantification**
- **Inverse Problems**
- **Reduced Order/Surrogate Modeling**
- **Computational Science and Engineering**
- **Industrial Mathematics**
We work mainly in the qualitative and quantitative study of nonlinear phenomena and systems (epidemiological forecasting, damage detection, energy harvesters, etc.), seeking to better understand their underlying dynamic behavior. For this purpose we make use of sophisticated analytical, numerical and data-driven techniques, as well as hybrid approaches combining them. We are also interested in the development of state of art computational tools for the analysis of complex systems, such as numerical codes for ordinary/partial differential equations, reduced order/surrogate models, machine learning/statistical regressors, etc. In this context, our work is organized into the following interdisciplinary and transversal lines of research:
- **Nonlinear and chaotic phenomena in complex systems**
- **Probabilistic modeling of uncertainties in nonlinear systems**
- **Inverse problems for calibration of computational models**
- **Reduction of **complexity in** high order computational models**
- **Computational modeling of industrial problems**
More information: [www.americocunha.org](http://www.americocunha.org)
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Evolution equations for an epidemic via sparse regressionEBDS 2021 - Terceiro Encontro Brasileiro de Data Science, Aug 2021, São Paulo, Brazil
Communication dans un congrès
hal-03321689v1
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Analysis of a logistic model for the waves of covid-19 in Brazil under the presence of uncertainties3rd Pan American Congress on Computational Mechanics (PANACM 2021), Nov 2021, Rio de Janeiro, Brazil
Communication dans un congrès
hal-03425916v1
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Mathematical models to predict the spread of an epidemicDINAME 2021 Webinar Series, Feb 2021, Brasília, Brazil
Communication dans un congrès
hal-03321690v1
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Modelos matemáticos para monitorar e prever a propagação de uma epidemiaEncontro Acadêmico de Modelagem Computacional 2021 (XIV EAMC), Feb 2021, Petrópolis, Brazil
Communication dans un congrès
hal-03321691v1
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EPIDEMIC: An educational code for teaching mathematical epidemiologyII Encontro Fluminense de Mulheres em Biomatemática, Nov 2020, Rio de Janeiro, Brazil
Communication dans un congrès
hal-03011145v1
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Seleção de modelos epidemiológicos via análise de sensibilidade globalXXIII Congresso Brasileiro de Automática (CBA 2020), Nov 2020, Congresso Virtual, Brazil
Communication dans un congrès
hal-02975811v1
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A Tutorial on Sobol’ Global Sensitivity Analysis Applied to Biological Modelsda Silva F.A.B., Carels N., Trindade dos Santos M., Lopes F.J.P. Networks in Systems Biology: Applications for Disease Modeling, Springer, Cham, 2020, Mechanisms and Machine Science, ⟨10.1007/978-3-030-51862-2_6⟩
Chapitre d'ouvrage
hal-02967410v1
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Relatório 20 - Progresso da COVID-19 no Brasil e no Estado do Rio de Janeiro: 44ª a 48ª Semana Epidemiológica do Calendário 2020 (25/10/2020 até 28/11/2020)[Technical Report] COVID19: Observatório Fluminense. 2020
Rapport
hal-03090717v1
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