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

Aggregators for Realizing Patient-Centric Solid Applications

Aggregators to Realize Scalable Querying across a Network of Solid Pods

AI for Personalised Healthcare

Decentralized Scalable Processing across a Network of Solid Pods

Efficient Semantic Querying and Reasoning over Decentralized High-Velocity Data Streams

Fusing Semantics and Machine Learning for Optimized Building Management

Hybrid AI for chronic disease management

IMPERIO: behavioral change Interventions Made PERsonal, engagIng & lOng-term

Adaptive Semantic Stream Reasoning for Healthcare

Advancing Time Series Data Analytics and Applied Machine Learning in Healthcare

A holistic approach on physical activity, sedentary behaviours, dietary habits and sleep and their linked determinants: a project in older adults using network analysis and ecological momentary assessment.

AI for Predictive Healthcare

AI for therapeutic diagnostics

Context Aware Deep Learning for Predictive Healthcare

Context-Aware Health Monitoring

Design of a Deep Patient Model for Improved Outcome Prediction and Medical Decision Support

Doctoral project Alexander Dejonghe

Doctoral project Gilles Vandewiele

Doctoral project Jarne Verhaeghe

Doctoral project Jonas Anseeuw

Doctoral project Jonas Van Der Donckt

Doctoral project Michael Weyns

Doctoral project Pieter Bonte

Knowledge Graph Creation and Embedding to Realize Explainable Hybrid AI Applications

Predictive Healthcare

Predictive Maintenance and Data-Driven Diagnostics

Realizing Real-World and Context-Aware Human Behavior Monitoring Using Wearable and Smartphone Data for Mobile Health

Towards Personalized Healthcare by Enabling Machine Learning-Driven Agents across Solid Pods

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

Enable value-adding insights across vast and decentralized volumes of semantically enriched data in a scalable, timely and efficient manner

A comprehensible and performant Decision Support System for longitudinal big data

A holistic approach on multiple health behaviours and their linked determinants: a project towards personalized health interventions in older adults, using network analysis and ecological momentary assessment

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

Unobtrusive monitoring of personal chronic disease progression while determining causal relations in real-world settings.

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)