Projects

 MODUS is a project funded by  DFG for Model-based Anomaly Pattern Detection and Analysis in Ubiquitous and Social Interaction Networks.

 Di-Plast: Digital Circular Economy for the Plastics Industry (funded by  Interreg NWE ( EFRE,  EU regional development fond)). Di-Plast improves processes for a more stable rPM material supply and quality using artificial intelligence methods and data science approaches: sensoring generates data within supply chains; data analytics provides information about rPM quality, amounts, and supply timing; Value Stream Management improves rPM processes & logistics, environmental assessments validate sustainability.

NWO KIEM ICT ODYN: Observing Team Dynamics and Communication using Sensor-Based Social Analytics.

 Resilient Athletes: In this interdisciplinary project (funded by  ZonMW), a multidisciplinary personalized human-sensor-based data science approach is being developed and applied. We focus on the resilience of athletes, with the aim that athletes can cope with the physical and mental stress factors to which they are exposed.