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TU Berlin

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Michael Gebauer, M.Sc.


M.Sc. in Business Administration

Michael has been working as a research assistant at the  Information Systems Engineering chair at TU Berlin since 03/2021. Previously, he worked for three years as a Data Scientist with a focus on Natural Language Processing and Software Engineer in consulting and auditing. He earned his M.Sc. in Business Administration from Friedrich Schiller University Jena in 2017, specializing in statistics, as well as finance and risk management. In his master's thesis, he dealt with the practical application of Bayes Networks. He completed his bachelor´s degree at the Brandenburg University of Applied Sciences

In his research, Michael is involved in the Daskita project, which deals with the processing of complex data sets in order to protect personal data.

Research Interests:

  • Applied Machine Learning in Information Systems
  • Probabilistic Models and Neural Networks
  • Outlier- and Out-of-Distribution Detection


Max Lübbering and Michael Gebauer and Rajkumar Ramamurthy and Rafet Sifa and Christian Bauckhage (2021). Supervised Autoencoder Variants for End to End Anomaly Detection. Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10–15, 2021, Proceedings, Part II, 566–581.

Max Lübbering and Rajkumar Ramamurthy and Michael Gebauer and Thiago Bell and Rafet Sifa and Christian Bauckhage (2020). From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders. International Conference on Artificial Neural Networks, 27–38.

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Michael Gebauer
Reasearch Associate
sec. EN14
Room 252
+49 30 314 21390