TU Berlin

Service-centric NetworkingTanja Hagemann


zur Navigation

Es gibt keine deutsche Übersetzung dieser Webseite.

Tanja Hagemann, M.Sc.


Tanja Hagemann is an external research assistant and PhD candidate at Service-centric Networking. In 2016 she achieved her Master's degree in mathematics at Wuppertal University with a focus on stochastic processes and multi-dimensional, complex analysis.

Besides her studies she gained versatile experience in data science and applied statistics during projects in a market research institute, at DLR Neustrelitz and at Wuppertal Institute for Climate, Environment and Energy. 

At SNET she is responsible for the research project ALMA which aims to improve the maintenance of cloud-based infrastructures through machine learning and deep learning. Her further research is in cooperation with T-Labs in the area of Future Networks & AI, where she is involved in the research and development of machine learning solutions for Deutsche Telekom.

Research Interests

  • Data Science
  • Machine Learning
  • Deep Learning
  • Anomaly Detection
  • Statistical Learning Theory
  • Applied Statistics
  • Probability Theory
  • Stochastic Analysis


Cryptocurrency Pump and Dump Schemes: Quantification and Detection
Zitatschlüssel victor2019pumpanddump
Autor Victor, F. and Hagemann, T.
Buchtitel 2019 IEEE International Conference on Data Mining Workshops (ICDMW)
Seiten 244–251
Jahr 2019
Monat Nov
Typ der Publikation SNET Data Blockchain
Download Bibtex Eintrag

Lorbeer, B. and Deutsch, T. and Ruppel, P. and Küpper, A. (2019). Anomaly Detection with HMM Gauge Likelihood Analysis. 2019 IEEE Fifth International Conference on Big Data Computing Service and Applications (BigDataService), 1–8.



Schnellnavigation zur Seite über Nummerneingabe