TU Berlin

Service-centric NetworkingBoris Lorbeer

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Boris Lorbeer

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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

Publications

A-BIRCH: Automatic Threshold Estimation for the BIRCH Clustering Algorithm
Citation key LOKODESORUK16
Author Lorbeer, B. and Kosareva, A. and Deva, B. and Softić, Dvzenan and Ruppel, P. and Küpper, Axel
Title of Book A-BIRCH: Automatic Threshold Estimation for the BIRCH Clustering Algorithm
Pages 169–178
Year 2016
ISBN 978-3-319-47898-2
DOI 10.1007/978-3-319-47898-2_18
Location Thessaloniki, Greece
Month oct
Publisher Springer
Chapter Advances in Big Data
Bibtex Type of Publication Snet Data Science
Link to publication Download Bibtex entry

Thesis

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

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