INFORMATIVO ABCM Nº 14/2021

INFORMATIVO ABCM Nº 14/2021

Semana de 7 a 13 de Maio de 2021

                                                         

 

PANACM-CILAMCE 2021 – Invitation

09 – 12 November 2021 – Rio de Janeiro, Brazil

Source: Prof. Americo Cunha (UERJ)         

 

 

Call for Mini-symposiums:

 

Uncertainty Quantification and Data-Driven Approaches To Stochastic Systems In Computational Science And Engineering
 

Coordinators:

L. ESPATH – RWTH Aachen University espath@uq.rwth-aachen.de

R.H. LOPEZ – Federal University of Santa Catarina  rafael.holdorf@ufsc.br

A. CUNHA JR – Rio de Janeiro State University americo.cunha@uerj.br

A.T. BECK – University of São Paulo  atbeck@sc.usp.br

R. TEMPONE – RWTH Aachen University tempone@uq.rwth-aachen.de

Abstract:

Computational methods for Uncertainty Quantification (UQ) are fundamental in the development and innovation of modern-day engineering. Processes and design in the presence of uncertainty are involved and usually pose particular challenges for computational methods. Over the last decades, significant research efforts seek to develop UQ computational techniques that overcome difficulties encountered in real engineering applications. Therefore, the analysis of hierarchical approaches to stochastic systems and data-driven techniques in computational engineering is the primary interest in this mini-symposium. The scope of the mini-symposium is broad covering: stochastic processes, stochastic differential equations, stochastic partial differential equations, Bayesian optimal design of experiment, Multilevel Monte Carlo, Multi-Index Monte Carlo, Quasi Monte Carlo, stochastic collocation, Gaussian processes, metamodels, data assimilation, variance reduction techniques, stochastic optimization, stochastic control, machine learning techniques. Theoretical approaches and practical applications are welcome. The organizers of this mini-symposium strive to provide a forum for researchers and practitioners to present and discuss current issues concerning UQ computational methods development.

 

Numerical modeling of infectious diseases: COVID-19 and beyond

 

Coordinators:

Malú Grave – UFRJ malugrave@nacad.ufrj.br

Alexander Viguerie – Gran Sasso Science Institute alexander.viguerie@gssi.it

Americo Barbosa da Cunha Junior – UERJ americo.cunha@uerj.br

Claudia Mazza Dias – UFFRJ mazzaclaudia@gmail.com

Gustavo Libotte – LNCC gustavolibotte@gmail.com

Rodrigo Burgos – UERJ  rburgos@eng.uerj.br

Tiago Pereira – CemEAI-USP tiago@icmc.usp.br

Abstract:

Epidemics of infectious diseases such as COVID-19 have been recurrent throughout history and can cause major damage in terms of both human lives and economic cost. The COVID-19 virus spread very quickly all over the world, in large part due to the high mobility characteristic of modern society. Although more than one year has passed since the beginning of the pandemic, we are still dealing with its devastating consequences. For this reason, mathematical models can be valuable tools, as they can provide estimates for possible scenarios of disease spread. This information may then help authorities make decisions about the allocation of limited resources in the event of an epidemic. This mini-symposium aims to provide a top-quality forum for the discussion among researchers from different fields, who are interested in modeling and controlling the spread of infectious diseases, with a particular interest in works applied to the context of the current COVID-19 pandemic. The MS topics cover (but are not limited to):

– Compartmental models in epidemiology;

– Epidemic models with spatio-temporal dependence;

– Agent-based epidemiological models;

– Computational fluid dynamics applied to investigate epidemics and related topics;

– Statistical methods in epidemiology;

– Graph-based techniques for analyzing the progress of an epidemic;

– Optimal control of epidemiological models;

– Uncertainty quantification in epidemiological models;

– Numerical investigation of protective equipment.

 

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Oportunidade de Bolsa de Doutorado

Fonte: Prof. Gherhardt Ribatski (EESC/USP)

 

 

O Grupo de Pesquisa em Transferência de Calor da EESC-USP, está divulgando Bolsa de Doutorado no contexto de um projeto de pesquisa com financiamento da Petrobras, envolvendo o estudo de trocadores de calor do tipo placas. O pesquisador atuará sob a orientação do Prof. Ribatski, na EESC-USP. Interessados devem ter preferencialmente graduação e mestrado em Engenharia Mecânica, Mecatrônica ou Química, ou área correlata, obtido nos últimos 5 anos.

 

O início do Doutoramento está previsto para agosto de 2021. Aos interessados pede-se entrar em contato com o Prof. Gherhardt Ribatski até 20 de maio de 2021 através do e-mail: ribatski@sc.usp.br , enviando CV completo, históricos escolares de graduação e mestrado e uma carta de referência. A matrícula no Doutorado encontra-se vinculada à aprovação no processo seletivo do Programa de Pós-Graduação em Engenharia Mecânica da EESC-USP.

 

 

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