Successfully applied expertise by academic and business partners worldwide, working closely with technology leaders on real-world challenges.
Research Experience
Involved in multiple projects including but not limited to: AI-SWEEP-2 (AI-enabling Smart Wound carE Electronics Patches), CHAI (Chemistry & Hybrid AI), HEROI2C (Hybrid machine learning for improved infection management in critically ill patients), PACSOI (Solid for personalized patient journeys), RE-ENNOVATE (Building renovation suggestions), S.E.P.S.I.S. Connect (eHealth), ADAM (Designing AI methods that can predict how a particular patient will respond), DEDICAT (Developing Depression’s Digital Forecasting Tool), IMPERIO (Personalized and engaging digital interventions for behavioral change to facilitate long-term effectiveness), mBrain (Context-aware health monitoring), Targeted neuromodulation (Using electrical signals to target chronic diseases directly), and SmartWaterConnect 5.0 (Design of advanced and robust hybrid AI solutions using innovative multi-modal digital measurements).
Background
Focuses on the study and design of innovative, trustworthy, and context-aware machine learning solutions, with applications in predictive maintenance and predictive healthcare.
Miscellany
The team is part of the IDLab research group at Ghent University - imec.