Master in Computer Science from the Postgraduate Program at the São Paulo State University (UNESP). During her undergraduate studies (2018 to 2022), she developed monitoring activities in Data Structures, undergraduate research projects in the area of Mathematical Morphology / Image Processing (CNPq-PIBIC and CNPq-PIBITI, a Brazilian funding agency) and Image Analysis / Anomaly Detection (FAPESP, other Brazilian funding agency). In 2019 and 2020, she participated in the Congress of Undergraduate Research Projects of UNESP (XXXI and XXXII), where she presented part of her projects. In 2022, she obtained her first publication in the high-impact journal Remote Sensing (MDPI), where she presented part of the results of a research involving Machine Learning and Computer Vision. During her master's degree (2022 to 2024), she obtained other publications in the area. Her master's project involved Anomaly Detection and Dimensionality Reduction in Remote Sensing Images. One of the results of this project was published in the Remote Sensing MDPI journal. She currently works as an Applied AI Researcher at Articul8 AI (startup). (Source: Lattes Curriculum)
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The use of techniques for the analysis of remote sensing images aided by different classifiers has contributed significantly to the development of new methodologies by the scientific community, and these methodologies have been successfully used in numerous applications. Recently, a strategy was proposed to use classifiers to locate water pollution in remote sensing images, which is based…
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