Erik Quaeghebeur

Erik Quaeghebeur is an Assistant Professor at Eindhoven University of Technology's School of Mathematics and Computer Science, focusing on uncertainty modeling in artificial intelligence. His work spans probabilistic circuits, imprecise probability theory, and wind energy applications.

• PhD in Applied Mathematics (Ghent University, 2002-2009)
• Master's in Applied Mathematics (Université catholique de Louvain, 2001-2002)
• Master's in Physics Engineering (Ghent University, 1998-2001)

Research interests include probabilistic modeling under uncertainty, with applications in AI and wind energy systems. His recent work explores tensor factorizations, equivariant graph neural networks, and scalable probabilistic circuits.

Scientific contributions include 60 research outputs and 2 datasets. Awards encompass the ERCIM Alain Bensoussan Fellowship (2013), BOF Postdoc (2010), and B.A.E.F. Francqui Fellowship (2009). He serves on committees for the Society for Imprecise Probability and acts as editorial board member for related conferences.

• Foundations of Artificial Intelligence course (since 2020)
• Uncertainty Representations and Reasoning course (since 2021)