Femke Ongenae
Associate Professor
Ghent, East Flanders, Belgium
Summary
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Senior🎓
Top SchoolFemke Ongenae is an Associate Professor and research lead at IDLab, Ghent University, with a decade of experience applying hybrid AI, Semantic Web technologies and explainable machine learning to predictive healthcare and Industry 4.0. She builds context-aware, personalized decision-support systems by fusing semantic models with data-driven methods and by formalizing expert knowledge into intelligent agents. A former imec postdoc and senior researcher, she routinely steers interdisciplinary, government-funded projects from proposal through valorization, emphasizing real-world impact and industrial collaboration. Her work uniquely blends expressive semantic reasoning with IoT and ML for eHealth solutions, and she is skilled at capturing domain expertise to make AI systems more transparent and actionable.
9 years of coding experience
11 years of employment as a software developer
High School, Math - Sciences, High School, Math - Sciences at St.-JozefslyceumDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Ghent UniversityHigh School, Latin - Math, High School, Latin - Math at St.-Bernardusinstituut
Dutch, English, French, German
Github Skills (3)
linked-data5
rdf5
modular2
Programming languages (2)
Github contributions (5)
IBCNServices/Accio-Ontology
Jun 2016 - Jul 2017
Contributions:101 commits, 93 pushes in 1 year 1 month
fongenae/Accio-Ontology
Jun 2016 - Jun 2016
Contributions:1 push in 1 day
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