Currently pursuing a Ph.D. in Computer Science and Computational Mathematics in the area of complex systems, the student holds a Master's degree in Mathematics from the Institute of Mathematical Sciences and Computation (ICMC) at the University of São Paulo. During her master's studies, she focused on wavelet theory and its applications, specifically exploring multiresolution analysis and Haar asymmetric wavelet theory. Prior to that, she earned a bachelor's degree in Mathematics with an emphasis on Computational Mathematics from the Federal Fluminense University (UFF). (Source: Lattes Curriculum)
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The present work aims to investigate how different connection patterns influence dynamic processes in complex networks. Essentially, we will consider methods from statistics and machine learning to predict various variables associated with dynamic processes, such as the level of system synchronization or the fraction of infected vertices in epidemic processes. We will focus on both simple…
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