Faculty
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.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML PKDD)
Conference on Neural Information Processing Systems (NeurIPS)
Conference on Neural Information Processing Systems (NeurIPS)
IEEE International Conference on Data Mining (ICDM)
IEEE International Conference on Data Mining (ICDM)
Machine Learning and Knowledge Discovery in Databases
ACM Transactions on Knowledge Discovery and Data Mining
Bioinformatics
SIAM International Conference on Data Mining (SDM)