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Email

Address

Im Oberen Werk 1
66386 St. Ingbert (Germany)

Awards (selection)

2025: UdS-CS Busy Beaver Teaching Award

2024: ELLIS Fellow 

2018: IEEE ICDM Tao Li Award for Excellence in Research

2018: IEEE ICDM Best Paper Award

2010: ACM SIGKDD Doctoral Dissertation Runner-Up Award

Short Bio

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 Honorary Professor of Computer Science at Saarland University, Fellow of the ELLIS Society, and Faculty of the ELLIS Unit Saarbrücken. His research interests include causal inference, machine learning, and data mining. He is particularly interested in developing well-founded theory and efficient methods for gaining insight into data and models. He has authored over 130 conference and journal papers, received three best paper awards, two teaching awards, the ACM SIGKDD 2010 Doctoral Dissertation Runner-Up Award, and the IEEE ICDM 2018 Tao Li Award for Excellence in Research.

He obtained his Ph.D. in Computer Science in 2009 from Universiteit Utrecht. Between 2009 and 2013 he held a Post-doctoral Fellowship of the Research Foundation Flanders (FWO) at the University of Antwerp. Before joining CISPA in 2018, he was an independent research group leader at the DFG Cluster of Excellence on Multimodal Computing and Interaction (MMCI) of Saarland University and a Senior Researcher at the Max Planck Institute for Informatics.

 

CV: Last stations

Since 2018
Tenured Faculty (equiv. full prof.) at CISPA Helmholtz Center for Information Security
2013 – 2022
Senior Researcher at the Max Planck Institute for Informatics, Germany
2013 – 2018
Independent Research Group Leader (W2) at the DFG Cluster of Excellence MMCI at Saarland University, Germany
2009 - 2013
Postdoc at Universiteit Antwerpen, Belgium
2005 - 2009
PhD at Universiteit Utrecht, the Netherlands

Publications by Jilles Vreeken

Year 2018

Article

Knowledge and Information Systems

Conference / Medium

SIAM International Conference on Data Mining (SDM)