Maurice van Keulen

Maurice van Keulen is an Associate Professor affiliated with the University of Twente's research institutes including Datamanagement & Biometrics, Digital Society Institute, and TechMed Centre. His multidisciplinary work bridges computer science, healthcare, and social systems.

Research Focus: Van Keulen specializes in artificial intelligence applications with emphasis on:

• Data management (quality, integration, probabilistic databases)
• Explainable AI and interpretable machine learning models
• Healthcare informatics (cancer prediction, medical imaging, outcome analysis)
• Natural language processing and social media analytics

His recent work explores dynamic sparse training, meta-learning for data imputation, and ethical AI frameworks.

Publication Trends: Recent articles (2023-2025) show strong focus on:

• Interpretable AI methods in healthcare diagnostics
• Robust machine learning under data corruption
• Meta-learning approaches for data preprocessing
• 3D medical imaging and reconstruction techniques

Awards:

• Beste paper award (2018) for work on probabilistic data conditioning

Supervision & Activities: Has supervised 14 research projects and serves on executive boards including EDBT (Extending DataBase Technology) and IFIP WG 2.6. Leads research on ethical dimensions of AI systems.