
About
Prof. Mark Hoogendoorn is a Full Professor at the Vrije Universiteit Amsterdam (VU) in the Faculty of Science, Department of Artificial Intelligence. He is also affiliated with the Network Institute. His research focuses on machine learning applications in healthcare, including predictive modeling for diseases, personalized therapies, and eHealth systems. He holds roles as Director/Owner in Cairus Holding B.V. and PersonalAIze B.V., and is a Board Member of Volleybalvereniging Waterlanders.
His expertise aligns with UN Sustainable Development Goals, particularly in improving health and well-being. He has supervised 13 PhD theses and teaches courses like Data Mining Techniques and Machine Learning for the Quantified Self. He is an editorial board member of Applied Artificial Intelligence journal.
Recent publications highlight contributions to machine learning in healthcare, telecommunication systems, and reinforcement learning. His work emphasizes explainability, safety, and hybrid intelligence in AI. Key areas include mortality prediction in pediatric ICU patients, cardiac arrest risk in diabetes, and signal processing innovations.
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