2018: IEEE ICDM Tao Li Award
2018: IEEE ICDM Best Paper
2018: IEEE ICDM Tao Li Award for Excellence in Research
2018: IEEE ICDM Best Paper Award for 'Discovering Reliable Dependencies from Data'
SS 2015: UdS-CS Busy Beaver Teaching Award for 'Topics in Algorithmic Data Analysis (TADA)'
2011: ACM SIGKDD Best Student Paper
2010: ACM SIGKDD Doctoral Dissertation Runner-Up Award
2009: ECML PKDD Best Student Paper Award
Prof. Dr. Jilles Vreeken is tenured faculty at the CISPA Helmholtz Center for Information Security, where he leads the Exploratory Data Analysis group. In addition, he is an Honorary Professor at Saarland University. His research interests include causal inference, machine learning, and data mining. He is particularly interested in developing well-founded theory and efficient methods for unsupervised learning of informative and ideally causal models from data. He has authored 3 book chapters and over 110 conference and journal papers. He received three best paper awards, the ACM SIGKDD 2010 Doctoral Dissertation Runner-Up Award, and the IEEE ICDM 2018 Tao Li Award.
He obtained his Ph.D. in Computer Science in 2009 from Universiteit Utrecht. Between 2009 and 2013 he was a post-doctoral researcher at the University of Antwerp, supported by a Post-doctoral Fellowship of the Research Foundation Flanders (FWO). Before joining CISPA in 2018, he was the leader (W2) of the Independent Research Group on Exploratory Data Analysis at the DFG Cluster of Excellence on Multimodal Computing and Interaction (MMCI) at Saarland University. Between 2013 and 2022 he was a Senior Researcher at the Max Planck Institute for Informatics.
AISTATS
AISTATSProceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)
AAAI
Proceedings of the First AAAI Spring Symposium Beyond Curve Fitting: Causation, Counterfactuals, and Imagination-based AIFirst AAAI Spring Symposium Beyond Curve Fitting: Causation, Counterfactuals, and Imagination-based AI
AAAI
Proceedings of the First AAAI Spring Symposium Beyond Curve Fitting: Causation, Counterfactuals, and Imagination-based AIProceedings of the First AAAI Spring Symposium Beyond Curve Fitting: Causation, Counterfactuals, and Imagination-based AI
Knowledge and Information Systems
KDD
Proceedings of the ACM SIGKDD Workshop on Mining and Learning from Graphs (MLG)ACM SIGKDD Workshop on Mining and Learning from Graphs (MLG)
ICDM
Proceedings of the IEEE International Conference on Data Mining (ICDM)IEEE International Conference on Data Mining (ICDM)
ICDM
Proceedings of the IEEE International Conference on Data Mining (ICDM)IEEE International Conference on Data Mining (ICDM)
ECML PKDD
Proceedings of the ECMLPKDD Workshop on Graph Embedding and Mining (GEM)ECMLPKDD Workshop on Graph Embedding and Mining (GEM)
IJCAI
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)International Joint Conference on Artificial Intelligence (IJCAI)
ECML PKDD
Proceedings of the ECMLPKDD Workshop on Graph Embedding and Mining (GEM)ECMLPKDD Workshop on Graph Embedding and Mining (GEM)