Andreas Rowald joins CDH Continue

Background Dental problems are one of the most prevalent clinical conditions. While oral care method have improved substantially over the last 100 years, incidence rates of tooth and gum problems are persisting or even increasing. For example, bacteria acids erode the tough tooth enamel and subs... Continue

Background 3D photometric reconstruction is a powerful approach to represent organs or body parts digitally. Various machine learning (ML)-pipelines for reconstruction assume rigid bodies or colour differences to estimate depth information. Yet other techniques use depth cameras, e.g. as built i... Continue

Professor Amft hosts the FAU presentation during the DAAD AI in Medicine matchmaking event. Continue

Extremely low-power sensing systems need to minimise their sensor sampling and data processing. Can we do better than state-of-the-art in sub-Nyquist sampling and compressive sensing? Yes, we can! Our new paper Context-Adaptive Sub-Nyquist Sampling for Low-Power Wearable Sensing Systems presents... Continue

The Chair of Digital Health is expanding its team. Here are the currently open positions: Research Group Leader – Machine Learning and Human-Computer Interaction (full-time, TV-L Bavaria E14 scale) Postdoc / Senior Researcher – Machine Learning for Biomedical Sensor Data (full-time, TV-L Bavaria E13... Continue

Prof. Amft gave a lecture (in German) at the Ringvorlesung 'Künstliche Intelligenz und Digitalisierung im Gesundheitswesen' titled 'Wie Wearables und digitale Zwillinge die Gesundheitsversorgung verändern'. The Ringvorlesung lecture series programme can be found here: https://www.th-ab.de/index.php... Continue

Addythia Saphala joins CDH as a Ph.D. student working on smart wearable and ambient technology. Contact  Continue

The Chair of Digital Health at FAU Erlangen-Nürnberg invites applications for the position of a Research Group Leader – Machine Learning and Human-Computer Interaction. Full time, remuneration according to TV-L Bavaria E14 scale and regulations. Responsibilities The successful candidate will conduct... Continue

The Chair of Digital Health at FAU Erlangen-Nürnberg invites applications for the position of a Postdoc / Senior Researcher – Machine Learning for Biomedical Sensor Data. Full time, remuneration according to TV-L Bavaria E13/A13 or E14/A14 scales and regulations (min. starting salary ~63'241 €/year)... Continue