Cosima von Uechtritz

Cosima von Uechtritz serves as a Scientific Associate and PhD student at the Chair of Information Systems and Artificial Intelligence (AI) in Marketing within the Faculty of Computer Science at the University of Duisburg-Essen, Germany. Previously (2022-2025), she worked as a research assistant at the Fraunhofer Institute FKIE in the Human Factors research group, specializing in cognitive state assessment through physiological parameters.

Her academic background includes a Bachelor's degree in Human Movement Science from the University of Münster and a Master's degree in Human Technology from the German Sport University Cologne. These foundations have shaped her interdisciplinary approach to health technology research.

von Uechtritz's research centers on AI applications in human physiology, particularly contactless health monitoring systems. She investigates how remote photoplethysmography (rPPG) algorithms can extract vital signs like heart rate using standard cameras, addressing challenges such as varying lighting conditions and head movements that affect measurement reliability. Her work bridges computer science and healthcare, focusing on making health monitoring more accessible and less intrusive through innovative technical solutions.

As an academic supervisor, she has guided multiple Bachelor's theses exploring practical implementations of health monitoring technologies. Her mentorship emphasizes both theoretical understanding and hands-on development, often involving prototype creation and empirical validation of AI-driven health solutions. Her research contributes to the rapidly expanding digital health market, projected to reach USD 258.25 billion by 2029, by developing cost-effective, non-invasive monitoring alternatives for applications in telemedicine, road safety, and personalized health management.