I hold a bachelor's degree1 in Systems Engineering and a master's degree2 in Computational Intelligence, both from Universidade Federal de Minas Gerais (UFMG). I am currently pursuing a PhD in Optimization at UFMG, with visiting research experience at the University of Bristol. Alongside my studies, I serve as Associate Director of Artificial Intelligence at BTG Pactual. With over 10 years of research and development experience, my work spans computer vision, data science, machine learning, natural language processing, operations research and optimization. In my free time, I like training Brazilian jiu jitsu, skateboarding, traveling, cooking and enjoying a good cup of coffee. Feel free to get in touch!
1 Bachelor's thesis: full text (in Portuguese)
2 Master's thesis: full text (in Portuguese) · video presentation (in Portuguese)
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Pedro Vinícius Almeida Borges de Venâncio, Lucas de Souza Batista: A self-tuning decomposition strategy in cooperative co-evolutionary algorithms for high-dimensional feature selection. In: Knowledge-Based Systems, 2025.
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Anderson Chaves Carniel, Pedro Vinícius Almeida Borges de Venâncio, Markus Schneider: fsr: An R package for fuzzy spatial data handling. In: Transactions in GIS, 2023.
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Pedro Vinícius Almeida Borges de Venâncio, Roger Júnio Campos, Tamires Martins Rezende, Adriano Chaves Lisboa, Adriano Vilela Barbosa: A hybrid method for fire detection based on spatial and temporal patterns. In: Neural Computing and Applications, 2023.
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Pedro Vinícius Almeida Borges de Venâncio, Adriano Chaves Lisboa, Adriano Vilela Barbosa: An automatic fire detection system based on deep convolutional neural networks for low-power, resource-constrained devices. In: Neural Computing and Applications, 2022.
For additional publications, please visit my profiles on Google Scholar or ResearchGate.