For optimal individual user benefit and experience, this is complemented by socio-emotionally competent user modelling, feedback generation, interfaces, and applications for digital solutions of health state, fitness monitoring, and sports-related coaching. To best fulfil these goals, the chair develops novel algorithms in the fields of deep and general machine learning, and robust signal processing.
Our team at a glance: This is how you can reach us - from professors to lecturers to scientific staff.
On this page you will find all information on the courses offered as well as an overview of interesting research topics of the chair, which you can work on as part of a thesis, a module or as a research assistant.
An der Fakultät für Angewandte Informatik der Universität Augsburg ist am Lehrstuhl Embedded Intelligence for Health Care and Wellbeing (Prof. Dr. Björn Schuller) ab sofort eine Stelle als
Wissenschaftliche Mitarbeiterin/Wissenschaftlicher Mitarbeiter (m/w/d)
Congratulations to EIHW researcher Jing Han on the successful defence of her doctoral thesis on the 25th June! Jing defended her PhD, titled ‚Automated Deep Audiovisual Emotional Behaviour Analysis in the Wild‘, in person and online via Zoom.
Congratulations to former EIHW researcher Gil Keren on the successful defence of his doctoral thesis on the 16th June! A candidate at the University of Passau, Gil defended his PhD, ‚Neural Network Supervision: Notes on Loss Functions, Labels and Confidence Estimation‘, online via Zoom.
How to reach us:
Chair of Embedded Intelligence for Health Care and Wellbeing
Department of Computer Science
University of Augsburg
Eichleitnerstr. 30, F2,
Phone: +49 (0) 821 598 - 2911 (Secretary)
Fax: +49 (0) 821 598 - 2912
Building: Alte Universität, Room 304