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 on Machine Learning — in particular (Multi-Agent) Deep Reinforcement Learning — and its application to complex real-world domains, such as robotics, traffic control, and communication networks.

Research Interests

• Reinforcement Learning
• Multi-Agent Cooperation
• Generative Modelling
• Machine Learning for Robotic Control
• Intelligent Traffic Systems
• Cooperative Communication Systems

Contact

Phone: +49 351 463 35337
Email: johannes.busch@tu-dresden.de
Room: BAR I/31

Available Theses/Student Helper Positions

Here are some available Diploma/Master/Student/Bachelor theses that I am currently offering. If you are interested in one or several topics, please write me an email with your latest CV and transcript. You can also propose your own thesis topic related to machine learning for communication networks, mobile robotics or vehicular traffic.

Teaching

WS21/22

• Communication Networks 3

SS21

• Fundamentals of Electrical Engineering 2

WS20/21

• Fundamentals of Electrical Engineering 1
• Communication Networks 3

Supervision

Student/Bachelor Thesis

• Deep Reinforcement Learning for Handovers in Mobile Networks (Xianran Liu)
• Joint Optimization of Traffic Signaling and Vehicle Speed Advise in V2I-Enabled Traffic with Deep Reinforcement Learning (Nerea Fernandez Sanchez)

Diploma/Master Thesis

• 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)

Awards

• Prize for outstanding final theses in Information and Communication Technologies of the Saxonian Center of Telecommunication 2020.

Review

• IEEE Systems Journal

Publications