Professor Adjunto at Universidade Federal de Uberlândia
Minas Gerais, Brazil
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Summary
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Igor Peretta is an academic and computer engineer with dual PhDs in Electrical Engineering and Computer Science (UFU and University of Strasbourg) and over a decade of experience researching AI-driven engineering solutions. As Professor Adjunto at Universidade Federal de Uberlândia, he focuses on evolutionary computation, genetic programming, and massively parallel GPGPU implementations for automated system modeling. His work blends theoretical advances in metaheuristics and statistics with practical applications like automatic speech recognition and neural-network–based voice command systems. Fluent across teaching and research, he also brings hands-on experience developing and evaluating AI methods in both Brazilian and European research environments. Notably, his background pairs deep academic credentials with applied expertise in bringing evolutionary algorithms to large-scale, GPU-accelerated problems.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Artificial Intelligence, Doctor of Philosophy (Ph.D.), Artificial Intelligence at Universidade Federal de Uberlândia
Engineer's degree, Electrical, Electronics and Communications Engineering, Engineer's degree, Electrical, Electronics and Communications Engineering at Universidade Estadual de Campinas / UNICAMP
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Strasbourg
Contributions:42 commits, 41 pushes, 1 branch in 4 months
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Igor Peretta - Professor Adjunto at Universidade Federal de Uberlândia