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Boris Lorbeer

Lupe [1]

After receiving a diploma in Physics from Technische Universität Berlin [2], 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 [3] as a research scientist in the strategic research area of Service-centric Networking [4] led by Prof. Dr. Axel Küpper [5]. 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

Lorbeer, B. and Kosareva, A. and Deva, B. and Softić, Dvzenan and Ruppel, P. and Küpper, Axel (2016). A-BIRCH: Automatic Threshold Estimation for the BIRCH Clustering Algorithm [9]. A-BIRCH: Automatic Threshold Estimation for the BIRCH Clustering Algorithm. Springer, 169–178.

Link to publication [10]

Lorbeer, B. and Kosareva, A. and Deva, B. and Softić, D. and Ruppel, P. and Küpper, A. (2017). Variations on the Clustering Algorithm BIRCH [11]. Big Data Research. Elsevier.


Lorbeer, B. and Deutsch, T. and Ruppel, P. and Küpper, A. (2019). Anomaly Detection with HMM Gauge Likelihood Analysis [12]. BDS2019 accepted for publication.


Thesis

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

Supervised Theses

  • Skalski, F. (2020). BIRCH based localized data analysis. Bachelor Thesis, Technische Universität Berlin [13]
  • Bekfani, O. (2020). Natural Language Processing in Digital Citizen Participation. Master Thesis, Technische Universität Berlin [14]
  • Follath, T. (2020). Anomaly Detection with BIRCH Clustering. Bachelor Thesis, Technische Universität Berlin [15]
  • Peters, C. (2020). Anomaly detection on ARIMA manifolds. Master Thesis, Technische Universität Berlin [16]
  • Botler, M. (2020). Ensemble Methods für Deep Learning based Anomaly Detection. Master Thesis, Technische Universität Berlin [17]
  • Henneberg, P. (2019). InfoGAN Disentanlement Framework. Bachelor Thesis, Technische Universität Berlin [18]
  • Lux, Z. (2018). Deep Learning for Anomaly Detection in Time Series. Master Thesis, Technische Universität Berlin [19]
  • Sharkov, D. (2018). Deep Learning for Intrusion Detection. Bachelor Thesis, Technische Universität Berlin [20]
  • Yang, Y. (2018). Anomaly Detection with Time Series Analysis. Master Thesis, Technische Universität Berlin [21]
  • Softic, D. (2016). Implementation and Evaluation of Distributed Online Clustering Algorithm. Master Thesis, Technische Universität Berlin [22]
  • Grillet, A. A. (2016). Parallel Self-Tuning Spectral Clustering on Apache Spark. Master Thesis. Technische Universität Berlin [23]

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Boris Lorbeer
Service-centric Networking
TEL 19
Ernst-Reuter Platz 7
10587 Berlin
Phone: +49 30 8353 58386
Fax: +49 30 8353 58409
e-mail query [25]

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