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Fakultät für Informatik

Prof. Dr. Stefan Harmeling

Photograph showing Prof. Dr. Stefan Harmeling © Wolfram Scheible

Curriculum Vitae:

  • 1998: Dipl. Math. with specialization in Mathematical Logic, Universität Münster
  • 2000: M.Sc. in Computer Science with specialization on Artificial Intelligence, Stanford University, USA
  • 2005: Dr. rer. nat. in Machine Learning, Universität Potsdam
  • 2005-2007: Postdoc at the University of Edinburgh, Schottland
  • 2007-2014: Postdoc at the Max-Planck-Institut für Biologische Kybernetik and at the Max-Planck-Institut for Intelligent Systems in Tübingen
  • 2014-2022: Professor for Machine Learning at Universität Düsseldorf
  • since 2022: Professor for Artificial Intelligence at TU Dortmund

Research interest:

  • Machine Learning
  • Deep Learning
  • Reinforcement Learning
  • Causality

Lectures available online:

Publications:

Google Scholar

DBLP

ArXiv

ORCiD

Prizes and awards:

  • 2022: First place at the "Helsinki Tomography Challenge 2022" with Thomas Germer, Jan Robine, Sebastian Konietzny, Tobias Uelwer
  • 2012: Günter Petzow prize in appreciation of outstanding scientific work at the Max Planck Institute for Intelligent Systems
  • 2011: DAGM prize in appreciation of the outstanding work "Improving Denoising Algorithms via a Multi-Scale Meta-Procedure" with Christopher Burger
  • 2009: Award for Best Contribution at the International Conference "COSMOSTAT -- Statistical Challenges in Cosmology" for the poster entitled "Online Blind Deconvolution with Super-Resolution and Saturation Correction" with Michael Hirsch, Suvrit Sra, Bernhard Schölkopf
  • 2009: Top Score in category "low noise" of the "International GREAT08 challenge: An image analysis competition for cosmological lensing" with Michael Hirsch, Bernhard Schölkopf