Professor at Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
São Paulo, Brazil
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Murilo Varges is a professor and researcher at the Federal Institute of Education, Science and Technology of São Paulo with eight years of professional experience and a strong academic trajectory as a Ph.D. candidate in Computer Science (UFSCar) and a Master in Computer Science (UNESP). He specializes in machine learning, pattern recognition, computer vision and image processing, applying research insights to teaching programming and database courses. Prior industry roles as a system analyst and consultant gave him hands-on experience with .NET, C#, Delphi, Python, SQL Server and real-time automation systems integrating serial and TCP/IP sensors. He combines practical systems engineering from ERP and automation projects with rigorous research in vision and ML, often bridging classroom instruction and applied research. Based in São Paulo, he brings a pragmatic approach to evolving ML applications informed by long-standing experience in both academia and production software.
8 years of coding experience
6 years of employment as a software developer
Especialização, Tecnologia da Informação, Especialização, Tecnologia da Informação at Universidade Estadual Paulista Júlio de Mesquita Filho
Bacharelado em Engenharia da Computação, Computer Science, Bacharelado em Engenharia da Computação, Computer Science at Univesp Oficial
Ph.d. Computer Science, Computer Vision and Machine Learning, Machine learning, Ph.d. Computer Science, Computer Vision and Machine Learning, Machine learning at UFSCar
Graduação em Tecnologia em Processamento de Dados, Information Technology, Graduação em Tecnologia em Processamento de Dados, Information Technology at Centro Universitário Católico Salesiano Auxilium - UniSALESIANO Araçatuba
Mestrado em Ciência da Computação, Visão Computacional, Mestrado em Ciência da Computação, Visão Computacional at UNESP - Universidade Estadual Paulista
In this repository is available source code for automatic recognition of human actions in videos using features extracted from 2D poses. The experiments were run in the KTH and Weizmman databases.
Contributions:38 commits, 33 pushes, 1 branch in 4 months
pythondeep-learningvideoshuman-actionsrecognition
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Murilo Varges - Professor at Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)