Ulf Brefeld
Ulf Brefeld

Leuphana University of Lüneburg
Institute of Information Systems

Machine Learning Group
Universitätsallee 1, C4.311
21335 Lüneburg

ulf.brefeld@leuphana.de
Fon +49.4131.677-1663
Fax +49.4131.677-1749

Short Bio

I am a professor for Machine Learning at Leuphana Universität Lüneburg. Prior to joining Leuphana, I was joint professor for Knowledge Mining & Assessment at TU Darmstadt and at the Leibniz Institute for Research and Information in Education (DIPF), Frankfurt am Main. Before, I led the Recommender Systems group at Zalando SE and worked on machine learning at Universität Bonn, Yahoo! Research Barcelona, Technische Universität Berlin, Max Planck Institute for Computer Science in Saarbrücken, and at Humboldt-Universität zu Berlin. I received a Diploma in Computer Science in 2003 from Technische Universität Berlin and a Ph.D. (Dr. rer. nat.) in 2008 from Humboldt-Universität zu Berlin.

Postocs and PhD Students

Visiting Researchers

  • Prof. Dr. Valéria Reis, Universidade Federal de Mato Grosso do Sul, Brasil

Alumni

Conference / Workshop Organization

Publications

Activities

  • Editorial Board Memberships
    • Data Mining and Knowledge Discovery, Action Editor, since 2019
    • Frontiers in Big Data: Machine Learning and Artificial Intelligence, since 2018
    • Machine Learning Journal, Guest Editorial Board, ECML PKDD Journal Track
    • Technology, Knowledge and Learning, Review Board Member, since 2016
    • Machine Learning Journal, Action Editor, since 2015
    • Machine Learning Journal, Guest Editorial Board, Proceedings Track ECML, 2013
    • Machine Learning Journal, since 2011
    • Natural Language Engineering, Guest Editorial Board, Special Issue on Statistical Learning of Natural Language Structured Input and Output, 2011
  • Program Committee Memberships (selection)
    • AAAI Conference on Artificial Intelligence (AAAI)
    • International Conference on Artificial Intelligence and Statistics (AISTATS)
    • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD)
    • International Conference on Machine Learning (ICML)
    • International Joint Conferences on Artificial Intelligence (IJCAI)
    • ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
    • Mining and Learning with Graphs (MLG)
    • Neural Information Processing Systems (NeurIPS)
    • International Conference on Web Search and Data Mining (WSDM)
  • Reviewing (selection)
    • ACM Transactions on the Web
    • Annals of Mathematics and Artificial Intelligence
    • Artificial Intelligence
    • Computational Statistics and Data Analysis
    • Data and Knowledge Engineering
    • Data Mining and Knowledge Discovery
    • IEEE Transactions on Neural Networks and Learning Systems IEEE Transactions on Multimedia
    • IEEE Transactions on Pattern Analysis and Machine Intelligence Intelligent Data Analysis
    • Journal of AI Research
    • Journal of Machine Learning Research
    • Knowledge and Information Systems
    • Machine Learning
    • Natural Language Engineering
    • Neural Computation
    • Neurocomputing
    • Pattern Recognition
    • Transactions on Knowledge and Data Engineering