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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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ARBO: Arbovirus modeling and uncertainty quantification toolboxSoftware Impacts, 2022, 12, pp.100252. ⟨10.1016/j.simpa.2022.100252⟩
Article dans une revue
hal-03595854v1
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An uncertainty quantification framework for a Zika virus epidemic modelJournal of Computational Interdisciplinary Sciences, 2019, 10 (2), pp.91-96. ⟨10.6062/jcis.2019.10.02.0163⟩
Article dans une revue
hal-02010225v2
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Calibration of a SEIR-SEI epidemic model to describe the Zika virus outbreak in BrazilApplied Mathematics and Computation, 2018, 338, pp.249-259. ⟨10.1016/j.amc.2018.06.024⟩
Article dans une revue
hal-01456776v4
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A mathematical analysis about Zika virus outbreak in Rio de JaneiroJournal of Computational Interdisciplinary Sciences, 2018, 9, pp.135. ⟨10.6062/jcis.2018.09.01.0135⟩
Article dans une revue
hal-01471302v1
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EPIDEMIC: a didactic tool for teaching mathematical epidemiologyXL Congresso Nacional de Matemática Aplicada e Computacional (CNMAC 2021), Sep 2021, Campo Grande (virtual), Brazil
Communication dans un congrès
hal-03338666v1
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Bayesian inference of model discrepancy in epidemiological systemsXIV Conferência Brasileira de Dinâmica, Controle e Aplicações (DINCON 2019), Nov 2019, São Carlos, Brazil
Communication dans un congrès
hal-02388481v1
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Data driven inference of model discrepancies in Zika virus dynamicsConference on Perspectives on Nonlinear Dynamics 2019 (PNLD 2019), Jul 2019, São Paulo, Brazil
Communication dans un congrès
hal-02189068v1
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Employing 0-1 test for chaos to characterize the chaotic dynamics of a generalized Gauss iterated mapXIV Conferência Brasileira de Dinâmica, Controle e Aplicações (DINCON 2019), Nov 2019, São Carlos, Brazil
Communication dans un congrès
hal-02388470v1
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Uncertainty quantification in a nonlinear transmission model for Zika virusConference on Perspectives on Nonlinear Dynamics 2019 (PNLD 2019), Jul 2019, São Paulo, Brazil
Communication dans un congrès
hal-02189069v1
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A stochastic nonlinear dynamic model for Zika virus outbreak in BrazilDynamics Days Latin America and the Caribbean, 2018 (DD-LAC 2018), Nov 2018, Punta del Este, Uruguay
Communication dans un congrès
hal-01925844v1
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A SEIR-SEI model calibration for the Zika virus epidemic in Brazil4th International Symposium on Uncertainty Quantification and Stochastic Modeling (Uncertainties 2018), Apr 2018, Florianópolis, Brazil
Communication dans un congrès
hal-01711056v1
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Uncertainty quantification in the Brazilian outbreak of Zika virusThe 13th World Conference on Computational Mechanics (WCCM XIII), Jul 2018, New York, United States
Communication dans un congrès
hal-01811699v1
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Zika virus in Brazil: calibration of an epidemic model for 2016 outbreakXXXVII Congresso Nacional de Matemática Aplicada e Computacional (CNMAC 2017), Sep 2017, São José dos Campos, Brazil. ⟨10.5540/03.2018.006.01.0460⟩
Communication dans un congrès
hal-01531847v1
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