Eduardo Godinho Ribeiro

Graduated with distinction in Control and Automation Engineering from the Federal University of Lavras, where he worked as a scholarship student in the program Young Talents for Science from 2013 to 2014 and in the Institutional Program of Scientific Initiation from 2014 to 2017. His first research area was in the Development of Remote Laboratories for Physics Teaching, in which he worked for two years and achieved honorable mention from the Dean of Research. For three years he worked in the area of electric power quality, in which he implemented machine learning algorithms (such as artificial neural networks, support vector machines, and Bayes classifiers) and statistical signal processing techniques (such as higher-order statistics and independent component analysis) for automatic detection and classification of power disturbances. He is currently pursuing a Master's Degree in Electrical Engineering at the São Carlos School of Engineering of the University of São Paulo. He is part of the Laboratory of Intelligent Systems, where he researches Deep Learning applied to perception and visual servoing of robot manipulators to improve its grasp ability. Besides, he is part of the Automation and Artificial Intelligence research group of the Brazilian National Council for Scientific and Technological Development and a student member of the Brazilian Society for Automatics.

Mestre em Engenharia Elétrica pela Escola de Engenharia de São Carlos da Universidade de São Paulo (EESC-USP), desenvolvendo pesquisas em deep learning aplicado à percepção e controle servo-visual de manipuladores para manipulação robótica autônoma. Graduado com distinção por mérito acadêmico em Engenharia de Controle e Automação pela Universidade Federal de Lavras (UFLA), onde atuou como bolsista Capes do programa Jovens Talentos para a Ciência 2013/2014 e PIBIC-CNPq 2014/2017. Desenvolveu pesquisas em Laboratórios Remotos para ensino de Física e desenvolvimento de sistemas automáticos de monitoramento da Qualidade de Energia Elétrica. Atualmente é doutorando em Engenharia Elétrica na EESC-USP, sendo integrante do Laboratório de Sistemas Inteligentes (LASI), onde conduz pesquisas em controle inteligente de manipuladores robóticos. Integra também o grupo de pesquisa Automação e Inteligência Artificial do CNPq e é membro (Estudante) da Sociedade Brasileira de Automática.