I conduct basic and applied research within the biomedical & pervasive systems research areas. My main research interest lies within pervasive healthcare topics, including ambient assisted living, telemonitoring, and telemedicine.  All of these topics build on distributed systems and artificial intelligence. Here, together with my research group and national and international collaborators, I focus on creating open science and open source tools and platforms for supporting healthcare research. This implies following a mainly sensor-based computational and data-driven approach with the purpose of improving human health and well-being while also enhancing the delivery of healthcare and staff efficiency. This is motivated by the constant demand for sustainable, participatory, preventive, personalized, economically tractable and better healthcare for all.

Our research projects are mainly grounded in the hospital, nursing home, and home settings, where we use ambient, wearable and healthcare sensors and devices to support patients and citizens through coaching and monitoring.  Research examples include: a) disease, disability and treatment monitoring and coaching in the hospital and home settings, b) predictive analytics for early disease onset detection and progression, and c) co-creation & participatory design for creating the optimal user experience.

You can find more here Biomedical & Pervasive Systems (au.dk)