CV Lattes
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Universidade Estadual de Campinas (UNICAMP). Instituto de Computação (IC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Bachelor in Computer Science from Federal University of Bahia (UFBA, 2008), Bachelor in Popular Music - Bass from University of Campinas (Unicamp, 2016), Master in Computer Science from Institute of Mathematics and Statistics, University of São Paulo (IME-USP, 2011), and PhD in Computer Science from University of Campinas (IC-Unicamp, 2018). Previously a research assistant at Reykjavik University, Iceland, and University of Leicester, UK. Murilo's research interests include approximation algorithms, optimization under uncertainty (online algorithms, robust and stochastic optimization etc), distributed algorithms and combinatorial optimization. Currently a Software Engineer at Google. (Source: Lattes Curriculum)
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An optimization problem is called offline when the whole input is known in advance, and there are no causality restrictions on the solution structure. In contrast, dynamic optimization models are defined on the literature, in which knowledge about the input is limited and/or there are causality restrictions on partial solutions. Such models include online computation, stochastic optimizat…
| 2 / 1 | Completed scholarships in Brazil |
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