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Congratulations to Camila Lopes and Wesley Ferreira! 👏

We are very proud to congratulate Camila Lopes and Wesley Ferreira for their participation and excellent presentations at SSCAD 2025, held in Bonito, Brazil.

🌌 Camila Lopes presented the paper “Federated Outlier Detection for Astronomical Data: Performance Analysis on Commercial Clouds” authored by Camila Lopes (UFF), Wesley Ferreira (UFF), Julia Gschwend, Luiz Nicolaci da Costa (LIneA), Rafael Ferreira da Silva (ORNL), Marta Mattoso (COPPE/UFRJ), Aline Paes (UFF), and Daniel de Oliveira (UFF). Link: https://lnkd.in/dhrPkHMR

🎓 Wesley Ferreira presented the paper “A Weighted Bi-objective Strategy for Executing Scientific Workflows in Containerized Environments” authored by Wesley Ferreira (UFF), Liliane Kunstmann (IMPA), Yuri Abitbol Frota (UFF), Luan Teylo (INRIA Bordeaux University), and Daniel de Oliveira (UFF). Link: https://lnkd.in/dptpQa7t

Congratulations to both for their dedication and contributions to the fields of scientific workflows and federated learning applied to astronomy!

🇧🇷 (pt-br)

Parabéns à Camila Lopes e ao Wesley Ferreira! 👏

É com muita satisfação que parabenizamos Camila Lopes e Wesley Ferreira pela participação e excelente apresentação de seus trabalhos no SSCAD 2025, realizado em Bonito, MS.

Camila Lopes apresentou o trabalho “Federated Outlier Detection for Astronomical Data: Performance Analysis on Commercial Clouds” de autoria de Camila Lopes (UFF), Wesley Ferreira (UFF), Julia Gschwend, Luiz Nicolaci da Costa (LIneA), Rafael Ferreira da Silva (ORNL), Marta Mattoso (COPPE/UFRJ), Aline Paes (UFF) e Daniel de Oliveira (UFF). Link: https://lnkd.in/dhrPkHMR

Wesley Ferreira apresentou o trabalho “A Weighted Bi-objective Strategy for Executing Scientific Workflows in Containerized Environments” de autoria de Wesley Ferreira (UFF), Liliane Kunstmann (IMPA), Yuri Abitbol Frota (UFF), Luan Teylo (INRIA Bordeaux University) e Daniel de Oliveira (UFF). Link: https://lnkd.in/dptpQa7t

Parabéns a ambos pela dedicação e pelas contribuições nas áreas de workflows científicos e aprendizado federado aplicado à astronomia!

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