Prof. Dr. Faisal: Digital Health

Chair Description

The chair combines computer-based and natural science approaches to investigate how humans and machines can learn and control goal-directed complex behaviour.

The Digital Health research group in Kulmbach is an important pillar of a cross-border laboratory at Imperial College London and the University of Bayreuth. Their topics of interest are AI for Healthcare, i.e. learning decision systems in hospitals, telemedicine, AI-supported health interventions at home and in care, etc. Then Human Augmentation with a focus on the restoration of mobility and motor skills of the hand or arm after illness, accident, or ageing through robotic systems, the support of cognitive skills in the home and on the move (cognitive prosthetics), as well as through robotic-digital support of patients at home and in care facilities. In addition, Human-AI Interaction with core objectives in the area of Explainable AI and Trusted AI, which are essential if artificial intelligence is to become a valuable individual "agent" in medicine and in society that supports and is trusted by people. And finally, there are the foundations of AI: prioritising Deep Reinforcement Learning, embedded AI, Causal Inference in Machine Learning, and the knowledge integration and context integration of biomedical and non-biomedical data.

Chair holder: Prof. Dr. Aldo Faisal

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