Mark Hoogendoorn, PhD, Friedrich-Alexander-Universität, Germany
Mark Hoogendoorn is an assistant professor of artificial intelligence at the VU University Amsterdam, Department of Computer Science. His research is positioned on the boundary between artificial intelligence and the health domain, focusing on predictive modeling and adaptive support systems for health and wellbeing. He mainly works within two health domains, namely mental health (depression, anxiety) and cancer.
Among other projects, Dr Hoogendoorn is currently participating in the EU FP7 E-COMPARED project where his main focus is on predictive modeling of therapy success for depressed patients. He has been one of the project coordinators of the FP7 ICT4Depression project (2009-2011) which aimed to develop an automated therapy for depression using a variety of sensory devices. He has been involved in the organization of ample conferences and workshops, including a workshop on computing paradigms for mental health (MindCare), and has acted as a guest editor for several journals.
Dr Hoogendoorn has co-authored over 100 scientific publications and has been a visiting scientist at the University of Minnesota (2007), and at the Massachusetts Institute of Technology (2015). He obtained his PhD degree at the VU University Amsterdam in 2007.
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