CV Lattes
Universidade Estadual de Campinas (UNICAMP). Instituto de Computação (IC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Currently is a PhD student at École Supérieure d'Ingénieurs en Électrotechnique et Électronique (ESIEE Paris - Université Gustave Eiffel) and at École Pour l'Informatique et les Techniques Avancées (EPITA). Works with Convolutional Neural Network analysis using explainability techniques, focusing on medical images. Concluded the master in 2020, in the Institute of Computing (IC) at University of Campinas (UNICAMP), where had a scholarship from FAPESP and worked with Complex Data Analysis for Events Detection in forensic context. Detains a bachelor's degree in Computer Science at Universidade Estadual Paulista Júlio de Mesquita Filho (2017), participated in the Scientific Initiation program with topics which include: Edge Detection in Digital Images, Biometrics and Facial Recognition techniques with emphasis on the Local Binary Pattern method. Studied abroad in a 6-month exchange program at the University of Glasgow (Scotland - UK) studying subjects offered by the School of Computing Science and by the School of Modern Languages & Cultures. (Source: Lattes Curriculum)
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Considering the occurrence of an event with high social impact, it is important to establish a space-time relation of available information and so, answer some questions about the event as "who", "how", "where" and "why". This work is part of the thematic FAPESP project "DéjàVu: Feature-Space-Time Coherence from Heterogeneous Data for Media Integrity Analytics and Interpretation of Events…
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