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Service-centric NetworkingBoris Lorbeer


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Boris Lorbeer


After receiving a diploma in Physics from Technische Universität Berlin, Boris Lorbeer worked for a couple of companies as software developer and data scientist. He soon specialized in machine learning, which he applied to e.g. prediction analysis, pattern recognition, anomaly detection, text analysis, ad click optimization or computer vision.

In May 2015, Boris Lorbeer joined the Telekom Innovation Laboratories as a research scientist in the strategic research area of Service-centric Networking led by Prof. Dr. Axel Küpper. His research interests include machine learning, deep learning, discrete geometry and graph theory and the application of those fields to networking.

Research Interests

  • Machine Learning
  • Deep Learning
  • Discrete Geometry
  • Graph Theory


A-BIRCH: Automatic Threshold Estimation for the BIRCH Clustering Algorithm
Zitatschlüssel LOKODESORUK16
Autor Lorbeer, B. and Kosareva, A. and Deva, B. and Softić, Dvzenan and Ruppel, P. and Küpper, Axel
Buchtitel A-BIRCH: Automatic Threshold Estimation for the BIRCH Clustering Algorithm
Seiten 169–178
Jahr 2016
ISBN 978-3-319-47898-2
DOI 10.1007/978-3-319-47898-2_18
Ort Thessaloniki, Greece
Monat oct
Verlag Springer
Kapitel Advances in Big Data
Typ der Publikation Snet Data Science
Link zur Publikation Download Bibtex Eintrag


  • Lorbeer, B. (1995). The Einstein field equations as an infinite dimensional Hamiltonian system.  Diploma Thesis, Technische Universität Berlin



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