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Mel Chekol is an Assistant Professor in the Data Intensive Systems group at Utrecht University. He has previously worked as a post-doctoral researcher in the Data Web Science group at the University of Mannheim and in the Orpailleur team at INRIA Nancy Grand Est. Additionally, Mel has had brief roles at the FBK (Fondazione Bruno Kessler) and the National Institute of Informatics (NII) in Tokyo. Mel holds a PhD from INRIA Rhône-Alpes and a double MSc degree from the Vienna University of Technology and the Free University of Bozen-Bolzano. His research focuses on various aspects of knowledge graphs, including reasoning, maintenance and construction. He has interests in spatio-temporal knowledge graphs, debugging integration of heterogeneous knowledge bases, knowledge representation and reasoning, knowledge discovery, query analysis optimization, scalable probabilistic inference, and ontology-based neural symbolic reasoning learning.
Department of Psychology