Automated Eating Activity Tracking System for Anorexia Nervosa Using AI and Wearable Sensors

Employer

University of Leuven, Leuven, Belgium

Description

The PhD researcher will be embedded within the EAST-STADIUS Division of KU Leuven, specifically in the eMedia Research Lab, and will work in close collaboration with the Mind-Body Research Group within the Division of Psychiatry, Department of Neurosciences. The eMedia Research Lab is an interdisciplinary research environment focusing on the development and application of intelligent technologies for human-centered applications, with expertise in artificial intelligence, machine learning, multimodal data analysis, and digital health. The lab investigates how advanced computational methods and sensing technologies can be leveraged to understand human behavior, support healthcare innovation, and develop personalized solutions for complex societal and medical challenges. The Mind-Body Research Group, embedded within the Division of Psychiatry of the Department of Neurosciences, conducts clinical and translational research focusing on the interaction between psychological, behavioral, and physiological processes in mental health. The group has extensive expertise in eating disorders, clinical assessment, longitudinal monitoring, and the development of novel approaches to improve diagnosis, treatment evaluation, and personalized care. This PhD project is positioned at the intersection of artificial intelligence, wearable sensing, and clinical neuroscience, bringing together complementary expertise from engineering and healthcare. Through close collaboration between the eMedia Research Lab and the Mind-Body Research Group, the researcher will have access to advanced technological infrastructure, clinical expertise, and opportunities for meaningful translation of AI-based methods into real-world healthcare applications. The interdisciplinary setting provides an excellent environment for developing innovative digital biomarkers and advancing objective, continuous monitoring approaches for eating disorders.

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