Persönliches Profil
Akademischer Werdegang und Ausbildung
- 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
Forschungsschwerpunkte
Automated machine learning, Hyperparameter Optimization, Bayesian Optimization, Reinforcement Learning, Interpretable Machine Learning
Lehrtätigkeiten
- Lecture AutoML
- Lecture Reinforcement Learning
- Lecture Interpretable Maschine Learning
- Lecture Data Science
- Lecture Social Responsibility in AI
- Seminars: AutoML. RL, ...
- Lab: AutoML
Schlagwörter
- Automated Machine Learning
- Deep Learning
- Hyperparameter Optimization
-
HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization
Wever, M. D., Muschalik, M., Fumagalli, F. & Lindauer, M., 2026, (Angenommen/Im Druck) Proceedings of the Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026).Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
-
MO-SMAC: Multi-objective Sequential Model-based Algorithm Configuration
Rook, J., Benjamins, C., Bossek, J., Trautmann, H., Hoos, H. & Lindauer, M., 1 März 2026, in: Evolutionary computation. 34, 1, S. 29-52 24 S.Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
-
Automated Data Preparation for Machine Learning
Mladenovic, S., Lindauer, M. & Doerr, C., 2025, (Elektronisch veröffentlicht (E-Pub)) 4th International Conference on Automated Machine Learning: Non-Archival Track.Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung
Open Access -
Automl for Multi-Class Anomaly Compensation of Sensor Drift
Schaller, M. C., Kruse, M., Ortega, A., Lindauer, M. & Rosenhahn, B., 15 Juni 2025, in: Measurement: Journal of the International Measurement Confederation. 250, 117097.Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
Open Access -
Auto-nnU-Net: Towards Automated Medical Image Segmentation
Becktepe, J., Hennig, L., Oeltze-Jafra, S. & Lindauer, M., 2025, (Angenommen/Im Druck) International Conference on Automated Machine Learning 2025.Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
Open Access
-
PhoenixD: Exzellenzcluster 2122/2: Optik & Photonik – Dimensionenübergreifende Innovation
Morgner, U. (Projektleiter*in (Principal Investigator)), Overmeyer, L. (Projektleiter*in (Principal Investigator)), Stiller, B. (Projektleiter*in (Principal Investigator)), Bande, A. (Projektleiter*in (Principal Investigator)), Calà Lesina, A. (Projektleiter*in (Principal Investigator)), Demircan, A. (Projektleiter*in (Principal Investigator)), Denkena, B. (Projektleiter*in (Principal Investigator)), Heisterkamp, A. (Projektleiter*in (Principal Investigator)), Heurs, M. (Projektleiter*in (Principal Investigator)), Kaierle, S. (Projektleiter*in (Principal Investigator)), Kowalsky, W. (Projektleiter*in (Principal Investigator)), Kracht, D. (Projektleiter*in (Principal Investigator)), Kues, M. (Projektleiter*in (Principal Investigator)), Lachmayer, R. J. (Projektleiter*in (Principal Investigator)), Lindauer, M. T. (Projektleiter*in (Principal Investigator)), Magnor, M. (Projektleiter*in (Principal Investigator)), Mehlstäubler, T. (Projektleiter*in (Principal Investigator)), Menzel, H. (Projektleiter*in (Principal Investigator)), Raatz, A. (Projektleiter*in (Principal Investigator)), Rosenhahn, B. (Projektleiter*in (Principal Investigator)), Roth, B. W. (Projektleiter*in (Principal Investigator)), Waag, A. (Projektleiter*in (Principal Investigator)), Walla, P. J. (Projektleiter*in (Principal Investigator)), Wurz, M. C. (Projektleiter*in (Principal Investigator)) & Zhuang, X. (Projektleiter*in (Principal Investigator))
1 Jan. 2026 → 31 Dez. 2032
Projekt: Forschung
-
De-TECH: Deep Tech European Venture Builder
Heiden, S. (Projektleiter*in (Principal Investigator)) & Lindauer, M. T. (Projektleiter*in (Principal Investigator))
1 Apr. 2025 → 30 Apr. 2027
Projekt: Forschung
-
Verbinden von Black-Box Optimierung and Maschinellen Lernen für Dynamische Algorithmenkonfiguration
Lindauer, M. T. (Projektleiter*in (Principal Investigator))
1 Jan. 2024 → 31 Dez. 2026
Projekt: Forschung
-
NextGenPV: Photovoltaik der nächsten Generation – Niedersächsisches Kompetenznetzwerk
Peibst, R. (Projektleiter*in (Principal Investigator)), Polarz, S. (Leitende*r Forscher*in (Co-Principal Investigator)), Schöber, V. (Koordination), Wietler, T. F. (Leitende*r Forscher*in (Co-Principal Investigator)) & Lindauer, M. T. (Projektleiter*in (Principal Investigator))
1 Dez. 2023 → 30 Nov. 2027
Projekt: Forschung
-
CAIMed: Etablierung eines Niedersächsischen Zentrums für Künstliche Intelligenz und Kausale Methoden in der Medizin
Nejdl, W. (Projektleiter*in (Principal Investigator)), Lindauer, M. T. (Leitende*r Forscher*in (Co-Principal Investigator)), Auer, S. (Leitende*r Forscher*in (Co-Principal Investigator)), Kudenko, D. (Leitende*r Forscher*in (Co-Principal Investigator)), Vidal Serodio, M. E. (Leitende*r Forscher*in (Co-Principal Investigator)), Müller, M. (Leitende*r Forscher*in (Co-Principal Investigator)), Rosenhahn, B. (Leitende*r Forscher*in (Co-Principal Investigator)) & Hoppe, N. C. (Projektleiter*in (Principal Investigator))
1 Nov. 2023 → 31 Okt. 2028
Projekt: Forschung