基本信息
views: 9
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
Bio
Lauro is BSc in Computer Science with emphasis in Computational Mathematics from Pontifical Catholic University of Goiás, Brazil (2012), MSc in Computer Science from Federal University of Goiás - UFG, Brazil (2014), and PhD in Computer Science from Federal University of Mato Grosso do Sul in association with UFG, Brazil (2018). Currently Lauro is an Associate Professor of the Federal Institute of Bahia (IFBA), Brazil (since 2019), and coordinator of research, graduate and innovation since 2020. He has been a Research Scientist, reviewer and editorial board member of national and international journals, and member of research groups. Lauro has published important international scientific papers, presenting in four countries (Morocco, USA, Canada and Germany) and achieving relevant awards of excellence in scientific research. He has interest in problems and applications involving: scientific computing, parallel computing, GPU parallel programming, solution of linear systems, evolutionary algorithms, metaheuristics for feature selection, multiobjective optimization, Big Data and machine learning.
Research Interests
Papers共 25 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Microchemical Journal (2023): 108382-108382
Revista Arithmós - Revista da Escola de Ciências Exatas e da Computaçãono. 1 (2019): 13-17
Rhelcris S. Sousa,Telma W. de Lima,Lauro C. M. de Paula, Roney L. Lima,Arlindo R. G. Filho,Anderson S. Soares
2017 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)pp.2315-2320, (2017)
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2017)
GECCO '16: Genetic and Evolutionary Computation Conference
Denver
Colorado
USA
July, 2016pp.1031-1034, (2016)
Load More
Author Statistics
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn