Short CV/Education and training

  • Since 2010
    Professor of Machine Learning at Bielefeld University, Germany

  • 2008
    Visiting researcher at the University of Groningen, NL

  • 2005
    Visiting professor at the Université Paris I, France

  • 2004 – 2010
    Professor of the theoretical foundations of informatics at the Clausthal University of Technology, Germany

  • 2003
    Visiting researcher at the University of Padua, Italy, and the University of Birmingham, UK

  • 2002
    Managed a C4 professorship in neuroinformatics

  • 2001
    Visiting researcher at the University of Pisa, Italy

  • 2000
    Visiting researcher at CAIR, Bangalore, India

  • 1999 – 2004
    Head of the junior researcher group "Using neural methods to learn from structured data" in Osnabrück, with funding from the Ministry for Science and Culture of Lower Saxony

  • 1999
    Visiting researcher at Rutgers University, USA

  • 1995 – 1999
    Doctoral studies in the theoretical informatics research group at the University of Osnabrück

  • 1989 – 1995
    Studied toward the Diplom degree in mathematics and informatics at the University of Osnabrück

  • 1976 – 1989
    Attended general education schools in Osnabrück, Germany

  • 1970
    Born in Mannheim, Germany

Selected publications

  • Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer: Graph Edit Networks. ICLR 2021

  • Lukas Pfannschmidt, Jonathan Jakob, Fabian Hinder, Michael Biehl, Peter Tiño, Barbara Hammer: Feature relevance determination for ordinal regression in the context of feature redundancies and privileged information. Neurocomputing 416: 266-279 (2020)

  • Alexander Schulz, Fabian Hinder, Barbara Hammer:

    DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction. IJCAI 2020: 2305-2311

  • Johannes Brinkrolf, Christina Göpfert, Barbara Hammer: Differential privacy for learning vector quantization. Neurocomputing 342: 125-136 (2019)

  • Babak Hosseini, Barbara Hammer: nterpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold. ECML/PKDD (1) 2019: 310-326

  • Barbara Hammer, Daniela Hofmann, Frank-Michael Schleif, Xibin Zhu: Learning vector quantization for (dis-)similarities. Neurocomputing 131: 43-51 (2014)

  • Yaochu Jin, Barbara Hammer: Computational Intelligence in Big Data [Guest Editorial]. IEEE Comp. Int. Mag. 9(3): 12-13 (2014)

  • Barbara Hammer, Daniel A. Keim, Neil D. Lawrence, Guy Lebanon: Preface: Intelligent interactive data visualization. Data Min. Knowl. Discov. 27(1): 1-3 (2013)

  • Kerstin Bunte, Michael Biehl, Barbara Hammer: A General Framework for Dimensionality-Reducing Data Visualization Mapping. Neural Computation 24(3): 771-804 (2012)

  • Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer: Relational generative topographic mapping. Neurocomputing 74(9): 1359-1371 (2011)



Complete list of publications

Selected projects

  • Principal investigator of the ERC Synergy Award Water Futures

  • Principle investigator in the TRR Constructing Explainability Univ. Paderborn/Bielefeld

  • Chair of the NRW Graduate School on AI Data Ninja

  • Principal investigator (PI) for the project Learning Feedback in Intelligent Tutoring Systems (within the framework of the German Research Foundation (DFG) priority programme Autonomous Learning, http://ipvs.informatik.uni-stuttgart.de/mlr/spp-wordpress/)

  • PI for the CITEC Centre of Excellence (Excellence Initiative, https://www.cit-ec.de/)

  • Projects (European Union (EU), German Federal Ministry of Education and Research (BMBF), cooperative projects with industry, ...), running conferences

Membership in scientific bodies/juries

  • Head of the GI (German computer science society) professional group "Neural networks"

  • Deputy speaker for the GNNS (German Chapter of the European Neural Network Society)

  • Member of IEEE CIS, head of the IEEE CIS Data Mining Technical Committee in 2013/2014, head of the IEEE CIS DMTC Task Force on Data Visualization and Data Analysis

  • Member Scientific Directorate Schloss Dagstuhl

Media coverage

  • Reviewer for the German Research Foundation (DFG)

  • The Finnish Academy of Sciences

  • The Swiss National Science Foundation (SNSF)

  • The Humboldt Foundation, and more

Soft Skills/Other activities and achievements

Soft Skills

  • Experience in organizing conferences

  • Worked collaboratively on interdisciplinary events


Other activities and achievements/family

  • Two wonderful children


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