Group

Research Goal

In my group, we develop sensing technologies, computational methods, and open-source tools for studying human health and behavior in real-world settings.

Our research focuses on digital biomarkers and contactless psychophysiological sensing, with a particular interest in stress, mental health, and clinically meaningful applications. We combine perspectives from digital health, biopsychology, biomedical engineering, and artificial intelligence to build methods that are robust, reproducible, and useful beyond controlled laboratory settings.

We are especially interested in:

• sensor-driven assessment of stress, affective states, and behavior in everyday life,
• contactless physiological and behavioral sensing using video, thermal imaging, audio, radar, and related modalities,
• biomedical machine learning methods for multimodal health data,
• open-source research infrastructure for transparent and reusable digital health studies, and
• translational tools that connect methodological research with mental health applications.

Members

We are part of the Department Artificial Intelligence in Biomedical Engineering at FAU Erlangen-Nürnberg and collaborate closely with national and international partners across digital health, psychology, medicine, and machine learning.

Robert Richer

Group Leader

Luca Abel

PhD Candidate

Sophie Fischerauer

PhD Candidate

Rebecca Lennartz

PhD Candidate

Marie Oesten

PhD Candidate

Misha Sadeghi

PhD Candidate

Present and Past Students

In our group, we have supervised and mentored students across bachelor’s and master’s thesis projects on digital biomarkers, stress research, contactless sensing, biomedical machine learning, and digital health infrastructure. A detailed list of current and past student theses can be found here.