Friedrich-Alexander University (FAU) Erlangen-Nürnberg

Founded in 1743, FAU has a rich history. It is a strong research university with an international perspective and one of the largest universities in Germany, with 39.868 students, 263-degree programs, 4,000 academic staff (including over 576 professors), 177,6 million euros (2016) third-party funding, and 500 partnerships with universities all over the world. Teaching at the University is closely linked to research and focuses on training students in both theory and practice to enable them to think critically and work independently. The research itself also strikes the perfect balance between a theoretical approach and practical application. FAU’s outstanding research and teaching is reflected in top positions in both national and international rankings, as well as the high amount of DFG funding which its researchers are able to secure.


The Chair of eHealth and mHealth at FAU was funded by the Zentrum Digitalisierung. Bayern (ZD.B) and founded by Prof. Dr. sc. ETH Oliver Amft in Sep 2017. The Chair of eHealth and mHealth is pursuing top-level research on foundational and applied topics of digital health. On electronic health (eHealth), members of the chair investigate data integration techniques and machine learning algorithms for patient data interpretation and health knowledge extraction from clinical, wearable, and ambient data. The algorithm bandwidth stretches from time series analysis to dynamically adaptive pattern modelling. On mobile health (mHealth) and ubiquitous health (uHealth), members of the chair are investigating novel development methods and procedures for implementing wearable and implantable body sensor and actuator systems using smart materials and 3D printing methods. Novel sensor technologies are investigated as well as their integration in unobtrusive wearable, implantable, and home monitoring and intervention systems. In addition, embedded algorithms for sensor data analysis and probabilistic aggregation are developed and evaluated. FAU is hosting two ESRs in the ACROSSING project and have secondments planned for 3 others. Within the ACROSSING project FAU leads the Scientific Objective 1 (SO1) i.e. Sensing and Monitoring Technologies. FAU is also responsible for WP 2.