CV Lattes
Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Bachelor of Science in Computer Science from the University of São Paulo (USP) (2011-2016) FAPESP Fellow in two projects (2012-2013 and 2014-2015) Scholarship for the Science without Borders program at the University of Birmingham - UK (2013-2014). Master of Science in Electrical Engineer from University of Campinas (UNICAMP) (2019-2021) Professional experience: * Intern in face biometry and machine learning at the CPqD - Campinas - São Paulo - Brazil foundation. (2016) * Data Scientist - Accenture Brazil (Jan 2017 - Jun 2017) * Data Scientist - CI&T (Jun 2017 - Dec 2020) * Data Scientist - CI&T (Jan 2021 - Current) (Source: Lattes Curriculum)
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In this project we propose to develop a mixed integer programming model to treat a lot sizing and scheduling problem in a chemical industry. To solve the problem, MIP- based heuristics as relax-and-fix and fix-and-optimize will be developed. All solution methods will be tested using real data of the industry and generated data. The results will be reported in scientific articles.
The present proposed scientific initiation project aims to apply Evolutionary Algorithms (EA) in real-time strategy games. This type of game is also known as Real-Time Strategy (RTS). The elaboration of strategies in these games is focused on the management of available resources and attack actions over the opponents. Thus, the decision must be taken considering when and what the better a…
| 2 / 2 | Completed scholarships in Brazil |
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