معرفی
Femke Ongenae is an Associate Professor at Ghent University's Faculty of Engineering and Architecture within the Department of Information Technology. She leads research at the IMEC postdoctoral level in areas bridging eHealth, predictive healthcare, and knowledge graph technologies. Her work focuses on context-aware systems, stream reasoning, and hybrid AI for healthcare and smart infrastructure applications.
- Key research domains: Artificial Intelligence, Health Informatics, Knowledge Graphs
- Leadership roles: Digital Innovation for Man and Society research unit, eBehaviourChange group
Her recent publications (2023-2025) highlight advancements in:
- Semantic rule mining for decision support systems
- Anomaly detection in healthcare and water networks
- Context-aware machine learning for COPD and migraine monitoring
- Knowledge graph embeddings for industrial process monitoring
Collaborative projects involve:
- Developing INK framework for knowledge graph rule mining
- Building DIVIDE system for adaptive IoT querying
- Creating MASSIF platform for semantic IoT services
- Advancing stream reasoning for real-time healthcare applications
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