Professor directory

Machine learning professors in Germany

30 machine learning professors in Germany, at 19 universities. The most represented are Technische Universität Darmstadt, Ludwig-Maximilians-Universität München and Freie Universität Berlin. 5 of them are verified faculty: their current appointment was confirmed against their own university's pages or a current faculty record in ORCID, and they are listed first.

The list is built from open publication data (OpenAlex and ORCID), the same data ProfScout uses in the app: actively publishing faculty at the largest research universities in Germany whose recent work sits in machine learning. Retired, trainee and staff-scientist records are filtered out where the public record identifies them. It is not a prestige ranking: professors are listed by how prominently machine learning figures in their published work, verified faculty first. Reply-fit scores, which weigh how likely each professor is to answer a student's email, are computed for your own profile inside ProfScout. Updated September 2026; the list is rebuilt from the open record a few times a year.

  1. Bogdan SavchynskyyVerified faculty
    Heidelberg University
    Computer Science · Computer Vision and Pattern Recognition
    Advanced Neural Network ApplicationsGraph Theory and AlgorithmsMachine Learning and Algorithms
    Recent: Online Video Depth Anything: Temporally-Consistent Depth Prediction with Low Memory Consumption (2026)
  2. Paul SwobodaVerified faculty
    Heinrich Heine University Düsseldorf
    Computer Science · Artificial Intelligence
    Graph Theory and AlgorithmsMachine Learning and AlgorithmsData Management and Algorithms
    Recent: Normalized Matching Transformer (2026)
  3. Matthias FeurerVerified faculty
    Ludwig-Maximilians-Universität München
    Computer Science · Artificial Intelligence
    Machine Learning and Data ClassificationExplainable Artificial Intelligence (XAI)Advanced Multi-Objective Optimization Algorithms
    Recent: CASHomon Sets: Efficient Rashomon Sets Across Multiple Model Classes and Their Hyperparameters (2026)
  4. Marius LindauerVerified faculty
    Leibniz University Hannover
    Computer Science · Artificial Intelligence
    Machine Learning and Data ClassificationReinforcement Learning in RoboticsAdvanced Multi-Objective Optimization Algorithms
    Recent: Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRL (2026)
  5. Eyke HüllermeierVerified faculty
    Ludwig-Maximilians-Universität München
    Computer Science · Artificial Intelligence
    Machine Learning and Data ClassificationBayesian Modeling and Causal InferenceMulti-Criteria Decision Making
    Recent: Relatively Rational: Learning Utilities and Rationalities Jointly from Pairwise Preferences (2026)
  6. Robert C. Williamson
    University of Tübingen
    Computer Science · Artificial Intelligence
    Machine Learning and AlgorithmsNeural Networks and ApplicationsSpeech and Audio Processing
    Recent: Law of Large Numbers: Accuracy as Statistical Measure for AI Compliance and Competition (2026)
  7. Julius Gonsior
    Technische Universität Dresden
    Computer Science · Artificial Intelligence
    Machine Learning and AlgorithmsMachine Learning and Data ClassificationTopic Modeling
  8. Gunter Grieser
    Technische Universität Darmstadt
    Computer Science · Artificial Intelligence
    Machine Learning and AlgorithmsSemantic Web and Ontologies
    Recent: Comparative Evaluation of Machine Learning Models for Predicting Donor Kidney Discard (2026)
  9. Christopher Schröder
    Leipzig University
    Computer Science · Artificial Intelligence
    Machine Learning and AlgorithmsTopic ModelingCCD and CMOS Imaging Sensors
  10. Steffen van Bergerem
    Humboldt-Universität zu Berlin
    Computer Science · Computational Theory and Mathematics
    Machine Learning and AlgorithmsComplexity and Algorithms in GraphsComputability, Logic, AI Algorithms
  11. Jalal Etesami
    Technical University of Munich
    Computer Science · Artificial Intelligence
    Bayesian Modeling and Causal InferenceMachine Learning and AlgorithmsAdvanced Causal Inference Techniques
  12. Steffen Bickel
    Technische Universität Dresden
    Physics and Astronomy · Artificial Intelligence
    Spam and Phishing DetectionMachine Learning and Algorithms
    Recent: Investigation of Low Temperature Bonding Process based on Cu/Ni/In Solid Liquid Interdiffusion (2024)
  13. Nithin M. Varma
    University of Cologne
    Computer Science · Computational Theory and Mathematics
    Complexity and Algorithms in GraphsMachine Learning and AlgorithmsAdvanced Graph Theory Research
  14. Alexander Nietner
    Freie Universität Berlin
    Computer Science · Artificial Intelligence
    Quantum Computing Algorithms and ArchitectureMachine Learning and AlgorithmsQuantum many-body systems
  15. Chen Zhou
    Karlsruhe Institute of Technology
    Chemistry · Artificial Intelligence
    Machine Learning and AlgorithmsNeural Networks and Applications
    Recent: In Silico study of degradation in the host molecular materials of OLEDs (2026)
  16. Marlen Neubert
    Karlsruhe Institute of Technology
    Materials Science · Artificial Intelligence
    Machine Learning in Materials ScienceNeural Networks and ApplicationsMachine Learning and Algorithms
    Recent: Generative Models for Crystalline Materials (2026)
  17. Jonas Hanselle
    Ludwig-Maximilians-Universität München
    Computer Science · Artificial Intelligence
    Machine Learning and Data ClassificationExplainable Artificial Intelligence (XAI)Machine Learning and Algorithms
  18. Matej Zečević
    Technische Universität Darmstadt
    Computer Science · Artificial Intelligence
    Bayesian Modeling and Causal InferenceExplainable Artificial Intelligence (XAI)Machine Learning and Algorithms
  19. Kristian Kersting
    Technische Universität Darmstadt
    Computer Science · Artificial Intelligence
    Topic ModelingExplainable Artificial Intelligence (XAI)Bayesian Modeling and Causal Inference
    Recent: Gestalt Vision: Evaluating Perceptual Grouping in Neural Visual Reasoning (2026)
  20. Markus Holzer
    Justus-Liebig-Universität Gießen
    Computer Science · Computational Theory and Mathematics
    semigroups and automata theoryDNA and Biological Computing
    Recent: On the Average State Complexity of Shuffle Ideals (2026)
  21. Marcel Hinsche
    Freie Universität Berlin
    Computer Science · Artificial Intelligence
    Quantum Computing Algorithms and ArchitectureQuantum Information and CryptographyMachine Learning and Algorithms
  22. Manfred Opper
    Technische Universität Berlin
    Computer Science · Artificial Intelligence
    Gaussian Processes and Bayesian InferenceNeural Networks and ApplicationsMachine Learning and Algorithms
    Recent: Introduction to Stochastic Differential Equations for Generative Machine Learning: A Variational Perspective (2026)
  23. Difan Deng
    Leibniz University Hannover
    Computer Science · Artificial Intelligence
    Machine Learning and Data ClassificationAdvanced Multi-Objective Optimization Algorithms
    Recent: Neural Architecture Search in Federated Learning: A Unified Design Concept (2026)
  24. Hermann Gruber
    Justus-Liebig-Universität Gießen
    Computer Science · Computational Theory and Mathematics
    semigroups and automata theoryDNA and Biological Computing
    Recent: On pumping constants and smallest grammars for context-free languages. Part II—Greibach normal form (2026)
  25. Iuliia Pliushch
    Goethe University Frankfurt
    Computer Science · Artificial Intelligence
    Domain Adaptation and Few-Shot LearningNeural Networks and ApplicationsMachine Learning and Algorithms
  26. Amin Jaber
    Technische Universität Berlin
    Computer Science · Artificial Intelligence
    Bayesian Modeling and Causal InferenceAdvanced Causal Inference TechniquesMachine Learning and Algorithms
  27. Michael J. Siebers
    University of Duisburg-Essen
    Computer Science · Artificial Intelligence
    Explainable Artificial Intelligence (XAI)AI-based Problem Solving and PlanningExercise and Physiological Responses
    Recent: (Ultra-)inflammation or adaptation? Comparison of different ultramarathon distances and their effect on the immune system (2026)
  28. Akshay L. Chandra
    University of Freiburg
    Agricultural and Biological Sciences · Artificial Intelligence
    Smart Agriculture and AIRemote Sensing in AgricultureMachine Learning and Algorithms
  29. Pascal Klink
    Technische Universität Darmstadt
    Computer Science · Artificial Intelligence
    Reinforcement Learning in RoboticsGaussian Processes and Bayesian InferenceEvolutionary Algorithms and Applications
  30. Christof Löding
    RWTH Aachen University
    Computer Science · Computational Theory and Mathematics
    semigroups and automata theoryFormal Methods in VerificationLogic, programming, and type systems
    Recent: Layered automata: A canonical model for automata over infinite words (2026)

Universities on this list: Technische Universität Darmstadt (4) · Ludwig-Maximilians-Universität München (3) · Freie Universität Berlin (2) · Justus-Liebig-Universität Gießen (2) · Karlsruhe Institute of Technology (2) · Leibniz University Hannover (2) · Technische Universität Berlin (2) · Technische Universität Dresden (2) · Goethe University Frankfurt (1) · Heidelberg University (1) · Heinrich Heine University Düsseldorf (1) · Humboldt-Universität zu Berlin (1) · Leipzig University (1) · RWTH Aachen University (1) · Technical University of Munich (1) · University of Cologne (1) · University of Duisburg-Essen (1) · University of Freiburg (1) · University of Tübingen (1)

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From the public publication record. Each person here is an active researcher at one of the largest research universities in Germany, publishing recently in machine learning, and not flagged by the public record as retired, in training, or in a staff role. "Verified faculty" means ProfScout matched the professor to a faculty page on their own university's site or to a current faculty appointment in ORCID.

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Built on open data from OpenAlex & ORCID