This line of research is related to the application, evaluation and development of Artificial Intelligence (AI) techniques to solve problems in the most diverse areas of knowledge (applications), including, but not limited to, engineering (in general , in its different subareas), economy, logistics, health, bioinformatics, biotechnology and education. In this context, the line of research in Applied Artificial Intelligence aims to contribute to investigations and advances both in Classical AI and in its aspects and related areas, which have received great attention in recent years, with emphasis on:
- Machine Learning
- Deep Learning
- Data Mining
- Big Data
- Optimization (exact and/or heuristic techniques)
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