Applied AI Systems

Applied AI Systems Team study novel techniques to enable the practical use of machine learning modules in software systems. Our research focuses on the following aspects:

  • Data ingestion, data sharing and knowledge representation and transferring techniques for machine learning pipelines;
  • Explainability techniques for understanding machine learning system behaviours to support trustworthiness in decision making;
  • Techniques for representing and integrating domain knowledge for machine learning system development in different scientific and business areas.