This line of research focuses on the application, evaluation and development of Artificial Intelligence (AI) techniques to address problems across a wide range of fields, including, but not limited to, engineering (in general and across its various subfields), economics, logistics, health, bioinformatics, biotechnology and education. In this context, the line of research in Applied Artificial Intelligence aims to advance investigations and developments both in Classical AI and in its emerging branches and related areas, which have received significant 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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