Madson Dias is a data scientist and PhD candidate in Computer Science with 12 years of experience applying machine learning and pattern recognition to industrial problems such as anomaly detection, computer vision, and failure prognostics. He combines a B.Tech in Industrial Mechatronics and an MSc in Computer Science with hands-on research roles at universities and industry labs, including Dell and Insight Data Science Lab. As an associate researcher at UFC's Logic and AI group, he focuses on neural networks, non-linear optimization and metaheuristics, bridging theoretical methods with applied R&D. He also teaches data science and has tutored AI certification courses, showing a strong commitment to knowledge transfer alongside research. Colleagues describe him as a pragmatic scientist who turns complex models into deployable solutions for manufacturing and industrial contexts.
12 years of coding experience
2 years of employment as a software developer
Mestrado, Computer Science, Mestrado, Computer Science at Instituto Federal de Educação, Ciência e Tecnologia do Ceará
Doutorado, Computer Science, Doutorado, Computer Science at Universidade Federal do Ceará
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