LUCAS PASCOTTI VALEM

Assistant Professor at the University of São Paulo - SCC / ICMC / USP

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Awards

• 2022/2023 - Fulbright Scholar (Doctoral Dissertation Research Abroad Award), Temple University (Philadelphia, PA, USA).

• 2021 - (Coorientation of Vinicius A. S. Kawai) Third Place, XXXIII Congress of Undergraduate Research Projects (CIC), "Investigation of Rank-based Methods for Similarity Search in Multimedia Data", São Paulo State University (UNESP).

• 2020 - Second Best Dissertation, 33rd Contest of Thesis and Dissertations (CTD); "Unsupervised Selective Rank Fusion on Content-based Image Retrieval"; Congress of the Brazilian Computer Society (CSBC 2020).

• 2019 - Best Master's Thesis Award; Workshop of Theses and Dissertations (WTD); Conference on Graphics, Patterns and Images (SIBGRAPI 2019); "Unsupervised Selective Rank Fusion on Content-based Image Retrieval"; Rio de Janeiro - Brazil.

• 2017 - First Place, 36th Contest of Undergraduate Research Projects (CTIC), "Unsupervised Similarity Learning through Cartesian Product of Ranking References for Image Retrieval Task.", Congress of the Brazilian Computer Society (CSBC 2017).

• 2017 - Honor Student in Undergraduate Research Award, São Paulo State University (UNESP), Rio Claro - Brazil.

• 2016 - First Place, XXVIII Congress of Undergraduate Research Projects (CIC), "Unsupervised Similarity Learning through Cartesian Product of Ranking References for Image Retrieval Task.", São Paulo State University (UNESP).

• 2016 - Best Paper Award; Conference on Graphics, Patterns and Images (SIBGRAPI 2016); "Unsupervised Similarity Learning through Cartesian Product of Ranking References for Image Retrieval Task."; São José dos Campos - Brazil.

• 2015 - Fourth Place, XXVII Congress of Undergraduate Research Projects (CIC), "Effective, Efficient, and Scalable Unsupervised Distance Learning in Image Retrieval Tasks.", São Paulo State University (UNESP).

• 2015 - Classified Among the Top 10, 34th Contest of Undergraduate Research Projects (CTIC), "Effective, Efficient, and Scalable Unsupervised Distance Learning in Image Retrieval Tasks.", Congress of the Brazilian Computer Society (CSBC 2015).

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