I work on global continuous optimization, data mining, and natural language processing, with applied projects built in partnership with public institutions in the State of Pará, Brazil.
Research interests
- Continuous global optimization: population-based metaheuristics, swarm intelligence, benchmark evaluation on hard continuous landscapes, and runtime analysis.
- Data mining: knowledge discovery in large databases, associative rule learning, and pattern discovery in real transactional and institutional data.
- Natural language processing: text classification, language models, and retrieval-augmented pipelines applied to institutional records.
- Applied machine learning: supervised models for public security, education, retail, and healthcare settings.
Education
- PhD in Computing PPGCOMP, UFPA · 2025–present · CAPES scholarship · advised by Reginaldo Cordeiro dos Santos Filho
- MSc in Computer Science PPGCC, UFPA · 2023–2025 · CAPES scholarship · advised by Reginaldo Cordeiro dos Santos Filho · Dissertation: Intelligent Supermarket Data Analysis System Based on Interpretable Purchase Patterns
- BSc in Computer Science UFPA · 2019–2022 · advised by Reginaldo Cordeiro dos Santos Filho · Undergrad thesis: A Supervised Classifier for Police Reports in the State of Pará
Publications
- 2026Pereira, J.; Matos, H. M. R.; Costa, J. C.; Santos, R. “Analysis of Co-Authorship Relationships in Graduate Programs in Computer Science in Brazil”. SEMISH 2026. doi
- 2024Matos, H. M. R.; Ribeiro, W. F.; Costa, J. C. W. A.; Santos Filho, R. C. “An Environment for Discovery of Associative Rules in Massive Datasets of Market Transactions”. ENIAC 2024. doi
- 2024Viana, J. A. D.; Matos, H. M. R.; Mota, M. P.; Santos Filho, R. C. “Classifying Graphs of Elementary Mathematical Functions Using Convolutional Neural Networks”. BRACIS 2024.
- 2024Matos, H. M. R.; Ribeiro, W. F.; Costa, J. C. W. A.; Santos Filho, R. C. “Discovering Shopping Patterns and Trends in Supermarkets Using Shopping Basket Analysis”. 20th CONTECSI. doi
- 2022Matos, H. M. R.; Souza, S.; Santos, R.; Costa, J. W.; Costa, C. “A Supervised Classifier for Police Reports at the State of Pará, Brazil”. ERAD/ERAMIA-NO2 2022. doi
- 2022Souza, S. L.; Matos, H. M. R.; Costa, C. F. P. S.; Santos Filho, R. C.; Costa, J. C. W. A. “Data Mining in Public Security Databases in Belém, Pará, Brazil”. ERAD/ERAMIA-NO2 2022. doi
- 2022Matos, H. M. R.; Souza, S. L.; Santos Filho, R. C.; Costa, J. C. W. A. “A Supervised Classifier for Police Reports at the State of Pará, Brazil”. 19th CONTECSI. doi
- 2022Souza, S. L.; Matos, H. M. R.; Santos Filho, R. C.; Costa, J. C. W. A. “Data Mining and Analysis Applied to Public Security Data in Belém of Pará, Brazil”. 19th CONTECSI. doi
Development projects
LAPAC GOongoing
Mobile application for the Fuel Research and Analysis Laboratory (LAPAC/UFPA) to securely collect, store, and manage data from on-site fuel sampling at gas stations across Pará, automating the laboratory's inspection and quality-control workflows.
AVIDAcompleted
Web platform for analysis and visualisation of academic data, identifying patterns in researcher trajectories. Phase 2 integrates Google Scholar, Scopus, and ORCID with NLP, LLMs, RAG, and knowledge graphs to provide a dialogue interface, semantic search, profile comparison, and automatic summarization of academic CVs.
Smart City Canaã dos Carajáscompleted
Applied AI modules for the “Mina do Futuro” digital technology and innovation programme: intelligent detection of trash and debris on public roads (BR512023003722-2), recognition and classification of student emotions in the classroom (BR512024000217-0), and the Conecta Canaã image (BR512025005575-7) and text (BR512025005574-9) classification modules for municipal incident reports.
Oraculocompleted
Classification system for police incident reports in Pará, using natural language processing and deep learning to automate prediction and support statistical analysis of police records. Builds on an earlier language-model-based report classifier (BR512024004522-8, 2024).
Mentorship
- Eduardo Kohei Seko Investigation on the Adjustment of Coefficients Across Iterations in Adaptive PSO · Computer Science, UFPA · 2026
- Marcos Vinícius Brito de Araújo Development of a Parallelised Particle Swarm Optimisation Algorithm with Deterministic Methods Applied to the Best Particle · Computer Science, UFPA · 2026
- Izaac Soares Nery Junior Comparative Analysis of Machine Learning Models for Demand Forecasting in Supermarkets · Computer Engineering, UFPA · 2026
Undergraduate thesis committees
- Max José Lobato Pantoja Júnior SAGE: A Multi-Agent Architecture with RAG for Structured Specification and Normative Querying of Criminal Incidents · Computer Science, UFPA · 2026
- Paula Manoella Mesquita de Brito Student Perception in AVALIA UFPA: A Hybrid Approach with Topic Modelling and Automatic Labelling with LLMs · Information Systems, UFPA · 2026
- Marcos Matheus Rodrigues Sá de Souza Dataforma: A Web Application for Teaching Programming · Computer Engineering, UFPA · 2024
Lecture material
- Introduction to LaTeX 50min · 2023 · slides
- MLCC — Machine Learning Crash Course: Hands On with Python ICEN/UFPA · 24h · 2024 · organiser · repository
- GENIAL — Genetic and Evolutionary Nature-Inspired ALgorithms ICEN/UFPA · 30h · 2025 · instructor · repository
- GenDL — Deep Learning Applied to Genomics PPGBM/UFPA · 3h30 · 2026 · instructor · repository
- PLNCC — NLP in Practice: From Data to Modelling UFPA · 2h · 2026 · instructor · repository
- Artificial Intelligence Applied to Natural Language Text Reading, Processing, and Classification SBC / UFPA · 1h · 2024 · instructor