Research Areas

AI Lab has decades long track record in applying AI methods in medicine. This involves developing predictive models for decision support in diagnostics, prognostication, or disease monitoring. It can also involve finding novel biomarkers, e.g. using eye-tracking, imaging data, facial expression recognition, voice analysis, etc. We have recently applied AI...

Machine learning is one of the eternal hot topics of AI research. Besides applied research, e.g. in medicine, metrology, intelligent tutoring systems, energy poverty prediction, etc., AI Lab members do a lot of basic research in this field. Some recent topics are (a) modifying existing ML algorithms to take advantage...

Games are a mainstay of AI research. Besides being fun they offer a well-defined training ground for research, a sandbox of sorts. Our research focuses on search and planning algorithms, and the nature of heuristics (e.g. the strength of pessimistic heuristics in real-time search). We also apply concepts from this...

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With more and more AI systems being deployed in practice, there is an increased need for the trustworthiness of these systems, especially in critical domains like medicine. Explainability has long been a topic of research in AI Lab, driving the ideas behind argument based machine learning developed in the lab....