Stefan Harmeling

Prof. Dr. Stefan Harmeling is a Distinguished Professor at TU Dortmund University's Faculty of Computer Science and leads the Harmeling Lab. Previously, he served as Professor for Machine Learning at Universität Düsseldorf (2014-2022) and held postdoctoral positions at the University of Edinburgh (2005-2007) and Max Planck Institutes in Tübingen (2007-2014). His research spans machine learning, deep learning, reinforcement learning, and causality, with applications in medical imaging, seismology, and political discourse analysis.

• Education:
  • Dipl. Math. in Mathematical Logic, University of Münster (1998)
  • M.Sc. in Computer Science, Stanford University (2000)
  • Dr. rer. nat. in Machine Learning, University of Potsdam (2005)

His scientific contributions include 15 recent publications (2021-2025) covering topics from cardiac MRI analysis to LLM applications in political deliberation. These works demonstrate expertise in generative models, self-supervised learning, and adversarial robustness.

Notable awards:

• 2022: Helsinki Tomography Challenge winner
• 2012: Günter Petzow Prize
• 2011: DAGM Prize
• 2009: COSMOSTAT Best Contribution
• 2009: GREAT08 Challenge Top Score

As an advisor, he has mentored 8 PhD students including Tobias Uelwer (2023 PhD), Sebastian Konietzny, and Maike Behrendt. His teaching portfolio includes courses on probabilistic reasoning, machine learning, and deep learning at TU Dortmund. He also serves as area chair for TinyPapers@ICLR 2024 and organizer for multiple NeurIPS/ICML workshops.