Artificial Intelligence

Digital platform by CEDIS/UnB for planning, screening, extraction, and reporting of systematic literature reviews with traceability, collaboration, and reproducible outputs.

Artificial Intelligence (AI) is a branch of computer science that seeks to develop systems capable of mimicking and enhancing human abilities such as reasoning, learning, and …

Ongoing CEDIS project focused on the continuous research, evolution, and validation of methods, workflows, and capabilities for systematic reviews, with Evidentia Review as its …

An AI API for academic performance prediction in gamified environments, complementing the EduTrack platform, with academic support from CEDIS.

A research project in partnership with IBICT and funded by FAP/DF.

Full Professor at the University of Brasília (UnB), working in the undergraduate Software Engineering program and the Graduate Program in Applied Computing.

2025 technological product proposing a chatbot as a support tool for Requirements Engineering.

2025 technological product for centralizing administrative information to support student development at FCTE, using a chatbot and artificial intelligence.

2025 technological product applying machine learning to non-invasive prediction of euploidy in human embryos based on morphokinetic data.

Undergraduate in Software Engineering, University of Brasília

Evidentia Review, software developed by CEDIS, helps research teams plan, conduct, and report systematic literature reviews with audit trails and reproducible reports.

Contextus received a computer program registration certificate granted by INPI, under process BR512026000889-1.