Personal profile
Academic career and education
- since Oct 2019: Professor of machine learning at the Leibniz University of Hannover
- 2014-2019: Postdoctoral research fellow at the University of Freiburg with focus on AutoML
- 2015: PhD in computer science at the University of Potsdam (summa cum laude) with focus on algorithm selection and configuration
- 2013: Co-Founder of the research network COSEAL (since 2018 advisory board member of COSEAL)
- 2010: Master of Science in computer science at the University of Potsdam
- 2008: Bachelor of Science in computer science at the University of Potsdam
- 2005: High school graduation (Abitur) in Berlin
Research interests
Automated machine learning, Hyperparameter Optimization, Bayesian Optimization, Reinforcement Learning, Interpretable Machine Learning
Teaching
- Lecture AutoML
- Lecture Reinforcement Learning
- Lecture Interpretable Maschine Learning
- Lecture Data Science
- Lecture Social Responsibility in AI
- Seminars: AutoML. RL, ...
- Lab: AutoML
Keywords
- Automated Machine Learning
- Deep Learning
- Hyperparameter Optimization
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HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization
Wever, M. D., Muschalik, M., Fumagalli, F. & Lindauer, M., 2026, (Accepted/In press) Proceedings of the Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
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MO-SMAC: Multi-objective Sequential Model-based Algorithm Configuration
Rook, J., Benjamins, C., Bossek, J., Trautmann, H., Hoos, H. & Lindauer, M., 1 Mar 2026, In: Evolutionary computation. 34, 1, p. 29-52 24 p.Research output: Contribution to journal › Article › Research › peer review
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Automated Data Preparation for Machine Learning
Mladenovic, S., Lindauer, M. & Doerr, C., 2025, (E-pub ahead of print) 4th International Conference on Automated Machine Learning: Non-Archival Track.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
Open Access -
Automl for Multi-Class Anomaly Compensation of Sensor Drift
Schaller, M. C., Kruse, M., Ortega, A., Lindauer, M. & Rosenhahn, B., 15 Jun 2025, In: Measurement: Journal of the International Measurement Confederation. 250, 117097.Research output: Contribution to journal › Article › Research › peer review
Open Access -
Auto-nnU-Net: Towards Automated Medical Image Segmentation
Becktepe, J., Hennig, L., Oeltze-Jafra, S. & Lindauer, M., 2025, (Accepted/In press) International Conference on Automated Machine Learning 2025.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
Open Access
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PhoenixD: Cluster of Excellence 2122/2: Photonics, Optics, and Engineering – Innovation Across Dimensions
Morgner, U. (Principal Investigator), Overmeyer, L. (Principal Investigator), Stiller, B. (Principal Investigator), Bande, A. (Principal Investigator), Calà Lesina, A. (Principal Investigator), Demircan, A. (Principal Investigator), Denkena, B. (Principal Investigator), Heisterkamp, A. (Principal Investigator), Heurs, M. (Principal Investigator), Kaierle, S. (Principal Investigator), Kowalsky, W. (Principal Investigator), Kracht, D. (Principal Investigator), Kues, M. (Principal Investigator), Lachmayer, R. J. (Principal Investigator), Lindauer, M. T. (Principal Investigator), Magnor, M. (Principal Investigator), Mehlstäubler, T. (Principal Investigator), Menzel, H. (Principal Investigator), Raatz, A. (Principal Investigator), Rosenhahn, B. (Principal Investigator), Roth, B. W. (Principal Investigator), Waag, A. (Principal Investigator), Walla, P. J. (Principal Investigator), Wurz, M. C. (Principal Investigator) & Zhuang, X. (Principal Investigator)
1 Jan 2026 → 31 Dec 2032
Project: Research
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De-TECH: Deep Tech European Venture Builder
Heiden, S. (Principal Investigator) & Lindauer, M. T. (Principal Investigator)
1 Apr 2025 → 30 Apr 2027
Project: Research
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Bridging Black-Box Optimization and Machine Learning for Dynamic Algorithm Configuration
Lindauer, M. T. (Principal Investigator)
1 Jan 2024 → 31 Dec 2026
Project: Research
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NextGenPV: Photovoltaics of the next generation ‐ Lower Saxony competence network
Peibst, R. (Principal Investigator), Polarz, S. (Co-Principal Investigator), Schöber, V. (Coordination), Wietler, T. F. (Co-Principal Investigator) & Lindauer, M. T. (Principal Investigator)
1 Dec 2023 → 30 Nov 2027
Project: Research
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CAIMed: Lower Saxony Center for AI and Causal Methods in Medicine
Nejdl, W. (Principal Investigator), Lindauer, M. T. (Co-Principal Investigator), Auer, S. (Co-Principal Investigator), Kudenko, D. (Co-Principal Investigator), Vidal Serodio, M. E. (Co-Principal Investigator), Müller, M. (Co-Principal Investigator), Rosenhahn, B. (Co-Principal Investigator) & Hoppe, N. C. (Principal Investigator)
1 Nov 2023 → 31 Oct 2028
Project: Research