eFficient decentRAlized proCessing of high-velociTy streamIng data spread across heterogeneous persONal data vaults

Efficient and scalable cascading reasoning over heterogeneous IoT data streams to enable real-time edge analytics

A comprehensible and performant Decision Support System for longitudinal big data

Behavioral change Interventions Made PERsonal, engagIng & lOng-term

Cascading Reasoning: an Efficient and Scalable Solution for Decision Making on Heterogeneous Data Streams

Enabling personalized medicine by optimizing disease treatments with hybrid machine learning

Enhanced adaptive anomaly detection and root cause analysis by means of semantics and machine learning

Enhancing data analytics for IoT by enabling semantic enrichment of machine learning tasks

Explainable, human-in-the-loop hybrid AI, resolving conflicting user feedback

FRACTION: eFficient semantics-pReserving And deCenTralized processIng of Big Data spread across persONal data vaults

Study and design of a federated, context-aware and self-learning reasoning framework enabling scalable and efficient advanced semantic reasoning on IoT data streams

Explainable, human-in-the-loop hybrid AI, resolving conflicting user feedback and in a federated learning setting

Promoting stable remission in depression by combining e-health and cognitive science: the development of DEpression’s DIgital foreCAsting Tool (DEDICAT)