Research
I work in the fields of Affective Computing, Pattern Recognition, and Computer Vision. My current research mainly focuses on multimodal analysis of non-verbal human behavior and deep learning of temporal representations with applications to assistive healthcare technologies and neuromarketing, e.g. assessment and monitoring of depression severity, genetic disorder detection, and estimation of taste appreciation. Other topics I have conducted research on so far are human-computer interaction, painting analysis, and object detection/tracking.
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Theses
Enabling Dynamics in Face Analysis,
Ph.D. Thesis (supervisor: T. Gevers, co-supervisor: A.W.M.
Smeulders), University of Amsterdam, 2014.
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Part-Based 3D Face Recognition under
Pose and Occlusion Variations, M.Sc. Thesis (supervisor:
L. Akarun), Boğaziçi University, 2008.
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