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TU Berlin

Inhalt des Dokuments

Zoltán Lux


Zoltán received his Master’s degree in Computer Science at the Technische Univerität Berlin in January 2019. His focus was on Data Engineering and Machine Learning.

He worked at Service-centric Networking as a student research assistant in a data science and machine learning research project for automatically detecting relevant events. In his master thesis, he applied deep learning for anomaly detection in time series.

In January 2019, he joined the Service-centric Networking group of Prof. Dr. Axel Küpper at Telekom Innovation Laboratories as a research scientist.

Research Interests

  • Blockchain and Distributed Ledger Technologies
  • Machine Learning, Deep Learning
  • Big Data
  • Cloud Computing


Lux, Z. A. and Beierle, F. and Zickau, S. and Göndör, S. (2019). Full-text Search for Verifiable Credential Schemas on Distributed Ledgers. Proceedings of the International Symposium on Blockchain Computing and Applications (BCCA 2019). IEEE (accepted for publication).


Lux, Z. (2019). Deep Learning for Anomaly Detection in Time Series, MSc, TU Berlin

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Zoltan Lux

Zoltan Lux
Institute Service - centric Networking
TEL 19
Ernst - Reuter - Platz 7
10587 Berlin