He is graduated in: Electrical Engineering at Instituto Federal de Educação, Ciência e Tecnologia do Espírito Santo (2014); and Mathematics (Bachelor) at Universidade Federal do Espírito Santo (2017). He is Master in Electrical Engineering at Technological Center of Universidade Federal do Espírito Santo (2017) on Signal Processing and Pattern Recognition area at Computation and Neural Systems Lab (labCISNE). He is Ph.D. in a Computer Science and Computational Mathematics at Institute of Computer and Mathematics Sciences of Universidade de São Paulo on Visual and Geometry Processing area at Graphics, Imaging, Visualization and Analytics lab (GIVA). During his Ph.D. he engaged in a Research Internship Abroad in Computer Science and Engineering at the New York University (NYU) Tandon School of Engineering at the Visualization, Imaging and Data Analytics Laboratory (VIDA lab). (Source: Lattes Curriculum)
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São Paulo is the largest city in South America, with criminality rates as large as the city. The number and type of crimes in São Paulo vary considerably depending on urban, environmental, and social characteristics of locality. Previous studies about crime analysis in S ao Paulo city have mostly focused on uncovering crime patterns associated with socioeconomic factors, time seasonality,…
The main goal of our PhD project is to develop a new crime forecasting methodology based in graph signal processing and deep learning by modeling São Paulo city in a natural street-level manner, based not only in past historical crime data, but also in other social and urban information that might enhance predictions. It is undeniable that crimes in Brazil have not only grown in recent ye…
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