CV Lattes
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Ministério da Ciência, Tecnologia e Inovação (Brasil). Centro Nacional de Monitoramento e Alertas de Desastres Nacionais (CEMADEN) (Institutional affiliation from the last research proposal) Birthplace: Brazil
bachelor's at Bacharelado em Física from Universidade Federal da Bahia (2008), master's at Computer Science from Instituto Nacional de Pesquisas Espaciais (2011) and doctorate at Computer Science from Instituto Nacional de Pesquisas Espaciais (2014). (Source: Lattes Curriculum)
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In 2022, the global population reached 8 billion, with 55% residing in urban areas. Projections for 2050 anticipate a growth to 9.77 billion, with approximately 6.6 billion people (nearly 68% of the world's population) living in cities. Urban flooding emerges as a hazardous phenomenon affecting both developed and developing nations, endangering human lives, and causing damage to propertie…
Natural disasters can cause damage in various sectors of a city, especially in the transportation sector. Geographic Information systems enable geographic data visualization, as vectors of traffic zones (polygons adopted as a unit of urban mobility studies) and streets (lines representing the city streets set). The representation of a data structure type complex network (set of vertices a…
The study is focused on a new strategy for the hybrid technique for damage detection, based on a hierarchical searching. The hybrid method employs a version of the epidemic genetic algorithm (EGA), for determining a good first guess to the conjugate gradient method, it is used in the Alifanov approach. The EGA already has a parallel version. However, it is necessary a better performance f…
In a scenario of global change, extreme weather and climatic events are expected to increase in frequency and intensity, and have greater social and economic impacts in several sectors, such as Critical Infrastructure, like Gas, Oil and Water Network, Power Grid, Telecommunications and Transportation system.Brazil and Germany are signatories to the Sendai Framework for Disaster Risk Reduc…
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