Member of the ECMLPKDD steering committee since 2019.
Member of the expert panel for the evaluation of the INRIA theme data and knowledge representation and processing, in 2019.
Member of the Steering Committee of the competence center for machine learning Rhine-Ruhr ML2R since 2019.
Action Editor since 2009 and Editorial Board Member since 2006 of the Machine Learning Journal ( MLJ ).
Chair of an External Evaluation Committee for The Cyprus Agency of Quality Assurance and Accreditation in Higher Education.
Member of the technical organisation committee of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ( NECTAR track chair ECMLPKDD-2012 | Journal track co-chair at ECMLPKDD-2016 | Program co-chairECMLPKDD-2018 ).
co-chair of the first workshop on Mining and Learning with Graphs at ECMLPKDD 2006.
Co-chair of the project workshop on Learning and Inference<./li>
Tutorials, Colloquia, Invited Talks, ...
In 2019 I gave an invited talk at the University of Exeter.
In 2018 I gave an invited talk at University of Amsterdam.
In 2017 I gave invited talks at KU Leuven and at the University of Luxembourg.
In 2016 I gave an invited talk at the Software engineering and Machine Learning workshop of the 10th Heinz Nixdorf Symposium and attended the Data Science Summit II on invitation.
I didn't travel much in 2015, due to relocating.
In 2014 I gave invited talks at the ECML workshop on New Frontiers in Mining Complex Patterns, at Microsoft Research in Redmond, at the Tokyo Institute of Technology, and at Chalmers University of Technology. Thanks to my hosts!
Algorithms for Predicting Structured Data tutorial with Shankar Vembu at the European Conference on Machine Learning.
Kernels for Structured Data tutorial at the InternationalConference on Machine Learning.
Kernel-Based Learning from Structured Data at the 2002 Summer School on Relational Data Mining in Helsinki.
I received an Emmy Noether grant in 2010 for Machine Learning Algorithms for Constructing Novel Relational Structures
My project on Effective Well-Behaved Pattern Mining through Sampling was funded by a regular research grant from the DFG
Recognised for outstanding contributions to the EPSRC peer review process.
Received a best paper award from the Data Mining in Biomedical Informatics and Healthcare Workshop held at ICDM ('16)
Received a reviewer award at the International Conference on Machine Learning ('15)
Submission to the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases was among the best 4% and selected for publication in the respective special issue of Machine Learning ('09)
Best paper award, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ('06)
Nominated for the best thesis of the German society of computer science ('05)
Student best algorithmic paper award, International Conference on Inductive Logic Programming ('03)
Scholarship of the “Deutscher Akademischer Austauschdienst” ('00)
External Examiner of the MSc Data Scince at the University of Sussex
Modules Teaching Mathematics for Computer Scientists (year 1, G51MCS);
Covering parts of Algorithms, Correctness, and Efficiency (year 2, G52ACE);
Supporting Enabling Technologies (pgr, G54ENA)
PhD Committees Koen Smets (University of Antwerp), Martial Hue (Ecole des Mines de Paris), Wannes Meert (KU Leuven), Licentiate discussion leader Frederik Johansson (Chalmer University of Technology)