Summary
Anastasia Dimou is a tenure-track assistant professor at KU Leuven specializing in the intersection of Knowledge Graphs and Machine Learning, with 13 years of research experience spanning KG construction, quality assessment, algorithm representation, provenance, access control and privacy. She leads and mentors a research team (1 postdoc, 6 PhD students), directs FWO’s KG4DI network, and serves as Science Communication Manager for the COST Action on Decentralised Knowledge Graphs, evidencing strong community and project leadership. Her work bridges fundamental and applied research with a practical focus on manufacturing, contributing tools and standards such as RML for automated KG construction and SHACL for validation. Previously she led KG construction efforts at imec’s IDLab, managing multi-disciplinary teams and industrial collaborations. She combines technical depth in semantic technologies with hands-on experience delivering reproducible expert-knowledge projects (REXPEK) and decentralized-data decision-making initiatives (KG3D).
13 years of coding experience