Computer Science researchBelo Horizonte, Brasil · Since 2017

IRIS · Research & innovation

From information
to knowledge.

We investigate data, language and artificial intelligence, applied to Predictive Analysis, People Analytics and Behavioral Management.

Research group · PUC MinasData engineering / Data science / AI

What we investigate

Three perspectives.
New discoveries.

From organizing large volumes of data to discovering patterns, our research connects foundations and applications.

01 / RESEARCH

Data management

Organize, integrate and retrieve heterogeneous data to make information accessible and useful.

Big dataData integration
02 / RESEARCH

Information retrieval

Find relevant information amid the complexity of the Web, documents and preferences.

SearchRecommendation
03 / RESEARCH

Knowledge discovery

Investigate patterns with machine learning, modeling and natural language processing.

Machine learningNLP

Ongoing project

SOLIRIS
People Analytics

Data science and artificial intelligence to investigate people, behavior and decisions in organizations.

Since 2021 · Ongoing

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Turnover and retention

Predictive models using behavioral features and spatial dependencies.

Language and professional profiles

Resume information extraction with LLMs and text analysis in business environments.

Behavior and recommendation

Studies of profiles, job recommendation and absenteeism analysis.

Fairness in predictive models

Investigation of social factors in wages and methods for bias mitigation.

Research in focus

Ideas under investigation.

All projects
SOLIRISPeople & Organizations

2021– · Ongoing

SOLIRIS · People Analytics

Machine learning for People Analytics and Behavioral Management.

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NLPNeural Representations

2024–2025 · Completed

Text embeddings for predictive analysis

Investigation of neural text representations and their use in prediction problems.

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PreNEmbLanguage & Health

2021–2023 · Completed

PreNEmb · Predictive health analytics

Neural network embeddings to investigate the feasibility and effectiveness of predictions in health.

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Scientific output

Knowledge, shared.

Explore publications

Recent work, from 2026 and in People Analytics.

2026

Conference paper · Natural language

CAGE: An Evaluation Framework for Cache-Augmented Generation Models

Lucas Mariano do Carmo, Wladmir Cardoso Brandão, Henrique Cota de Freitas

25º Workshop em Desempenho de Sistemas Computacionais e de Comunicação · 2026

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2026

Accepted for publication · People Analytics

Evaluating LLM-Based Resume Information Extraction

Arthur Rodrigues Soares de Quadros, Wesley Nogueira Galvão, Victória Emanuela Alves Oliveira, Alessandro Garcia Vieira, Wladmir Cardoso Brandão

SN Computer Science · 2026

Awaiting publication
2025

Conference paper · People Analytics

Predicting Employee Turnover Using Personality Assessment: A Data-Driven Approach

Reynold Navarro Mazo, Maurício Pereira Nogueira-Júnior, Arthur Rodrigues Soares de Quadros, Alessandro Garcia Vieira, Wladmir Cardoso Brandão

27th International Conference on Enterprise Information Systems · 2025

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Research is collaborative

Your next question
could start here.

Explore our research interests and discover ways to research and collaborate with IRIS.

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Scientific recognition

Recognized research.

Best paper awards at WEBIST.

WEBIST · 2024

Best Industrial Paper

Best paper in the industry category.

WEBIST · 2023

Best Student Paper

Best paper in the student category.

Academic and funding supportPUC MinasCNPqCAPESFAPEMIG