Johannes Busch

Dipl.-Ing. Johannes Busch

PhD Researcher

Johannes Busch received the Diploma degree (Dipl. Ing.) in electrical engineering from Technical University Dresden, Germany in 2019 where he is currently pursuing a Ph.D. degree at the Deutsche Telekom Chair of Communication Networks. His research focuses mainly on Machine Learning algorithms—in particular Deep Reinforcement Learning and Deep Generative Modeling—and their application to complex real-world problems, such as efficient traffic control and the optimization of communication networks.

Research Interests

  • Machine Learning for Real-World Problems
  • Reinforcement Learning
  • Multi-Agent Cooperation
  • Statistical Modelling
  • Generative Modelling
  • Cooperative Communication Systems
  • Intelligent Traffic Systems
  • Robot Control
  • Machine Learning for SDN/NFV


Phone: +49 351 463 35337
Room: BAR I/31


  • Investigation of smart routing and queue management for on the fly processing (Master Thesis – Mao Xinwei)
  • AI aided robot remote control (Diploma Thesis – Adrian Bretschneider Perez)


  • Preis für hervorragende Diplomarbeiten auf dem Gebiet der Informations- und Kommunikationstechnologien 2020.



Grohmann, Andreas I.; Busch, Johannes V. S.; Bretschneider, Adrian; Lehmann, Christopher; Fitzek, Frank H. P.

JAVRIS: Joint Artificial Visual Prediction and Control for Remote-(Robot) Interaction Systems Inproceedings

In: 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) (CCNC 2022), Las Vegas, USA, 2022.

Abstract | BibTeX


Busch, Johannes V. S.; Latzko, Vincent; Reisslein, Martin; Fitzek, Frank H. P.

Optimised Traffic Light Management Through Reinforcement Learning: Traffic State Agnostic Agent vs. Holistic Agent With Current V2I Traffic State Knowledge Journal Article

In: IEEE Open Journal of Intelligent Transportation Systems, 1 , pp. 201-216, 2020.

Links | BibTeX