CV Lattes
Universidade Federal de São Carlos (UFSCAR). Centro de Ciências Exatas e de Tecnologia (CCET) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Renata has a technical course in Computing Integrated to High School by the Federal Institute of Education, Science and Technology (2015) and a degree in Computer Science at the Federal University of São Carlos (2020), with two years of scientific initiation by FAPESP, including a research internship abroad (BEPE) at the University of Newcastle, Australia, working with approximation algorithms and metaheuristics. She is currently a master's student in artificial intelligence, focusing on complex networks, at USP São Carlos. She worked as a data scientist at Big Data Assessoria Empresarial (2020), as a data scientist at PicPay (2021) and she is currently working as a software engineer at Google. (Source: Lattes Curriculum)
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In the Facility Location Problem, it is sought to decide how many and which facilities to open in order to serve the connection demands of the clients. It is very relevant both due to its theoretical difficulty, being a NP-hard problem widely studied and for which numerous approximation algorithms are known, as well as for being motivated by practical applications, modeling problems such …
In the Facility Location Problem, it is sought to decide how many and which facilities to open in order to serve the connection demands of the clients. It is a very relevant problem both due to its theoretical interest, being an NP-hard problem widely studied and for which numerous approximation algorithms and metaheuristics are known, as well as for being motivated by practical applicati…
| 1 / 1 | Completed scholarships in Brazil |
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