Marcos de Souza Oliveira ☕️
Marcos de Souza Oliveira

AI/ML Specialist

Inatel Competence Center

About Me

I am a highly skilled researcher and professional with over 14 years of experience in software development and Artificial Intelligence (AI), Machine Learning (ML), and data analytics. I have led and contributed to a wide range of projects, from agile development teams to large-scale international collaborations, holding roles such as Tech Lead, AI/ML specialist, Data Scientist, and Software Engineer. I am particularly drawn to unsupervised learning and exploratory data analysis.

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Interests
  • Artificial Intelligence
  • Exploratory Data Analysis
  • Deep Clustering
  • Unsupervised Learning
Education

  • PhD Artificial Intelligence, 2024

    Federal Unversity of Pernambuco - Brazil

  • MSc Artificial Intelligence, 2018

    Federal Unversity of Pernambuco - Brazil

  • Specialization in Software Engineering, 2016

    Unversity of Pernambuco - Brazil

  • BSc in Computer Science, 2014

    Faculdade dos Guararapes - Brazil

📚 My Research
My main interest is to develop meaningful, cost-effective and explainable AI models through unsupervised deep learning, exploratory data analysis, and optimization, specifically deep clustering, deep graph clustering, evolutionary algorithms and dimensionality reduction methods.
Selected Publications
Marcos De S. Oliveira, Sergio Ricardo De Melo Queiroz, Cleber Zanchettin, Francisco De Assis Tenório De Carvalho (2025). Deep contrastive variational subspace clustering. Neurocomputing.
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Marcos De S. Oliveira, Francisco Erivaldo Fernandes, Lukas Cerveny, Flávia Akemi Miyazaki, Leonardo Valeriano Neri, Alan Da Silva, Beatriz Leandro Bonafini, Victor Medeiros Outtes Alves, Órion Darshan Winter De Lima (2023). FastAiAlloc: A real-time multi-resources allocation framework proposal based on predictive model and multiple optimization strategies. Future Generation Computer Systems.
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Marcos De S. Oliveira, Sergio R. De M. Queiroz, Francisco De A. T. De Carvalho (2022). Unsupervised feature selection method based on iterative similarity graph factorization and clustering by modularity. Expert Systems with Applications.
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Marcos De S. Oliveira, Sergio R. De M. Queiroz (2020). Unsupervised feature selection methodology for clustering in high dimensionality datasets. RITA.
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