Johannes V. S. Busch

Johannes V. S. Busch

PhD Student

Learning, Adaptive Systems, and Robotics Lab

Biography

I am a PhD student with Prof. Roberto Calandra at the Learning, Adaptive Systems, and Robotics (LASR) Lab at TU Dresden. My research focuses on model-based and hierarchical reinforcement learning applied to robotics.

Previously, I worked with Prof. Frank Fitzek on using machine learning in the context of communication networks and transportation systems.

Interests
  • Reinforcement Learning
  • Model-Predictive Control
  • Sequence Modelling
  • Generative Modelling
  • Robotic Systems
  • Intelligent Transportation Systems
  • Communication Networks
Education
  • Dipl.-Ing. in Electrical Engineering, 2019

    Technische Universität Dresden

Publications

(2022). Optimizing Edge SLAM: Judicious Parameter Settings and Parallelized Map Updates. In IEEE Global Communications Conference (GLOBECOM).

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(2022). Handover Predictions as an Enabler for Anticipatory Service Adaptations in Next-Generation Cellular Networks. In IEEE ACM International Symposium on Mobility Management and Wireless Access (MobiWac).

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(2022). JAVRIS: Joint Artificial Visual Prediction and Control for Remote-(Robot) Interaction Systems. In IEEE Consumer Communications & Networking Conference (CCNC).

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(2020). Optimised Traffic Light Management Through Reinforcement Learning: Traffic State Agnostic Agent vs. Holistic Agent With Current V2I Traffic State Knowledge. In IEEE Open Journal of Intelligent Transportation Systems (OJ-ITS).

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Grants & Awards

Awards

  • Prize for outstanding final theses in information and communication technologies of the Saxonian Center of Telecommunication, 2020
  • IEEE Open Journal of Intelligent Transportation Systems Best Paper Award, 2020

Reviewing & Editorial

Reviewing

  • IEEE Systems Journal (x2)
  • IEEE European Wireless (x2)

Teaching & Supervision

Teaching

  • Fundamentals of Electrical Engineering 1 (WS20/21)
  • Fundamentals of Electrical Engineering 2 (SS21)
  • Communication Networks 3 (WS20/21, WS21/22)

Student Supervision

  • Xianran Liu - Deep Reinforcement Learning for Handovers in Mobile Networks (Study Thesis)
  • Nerea Fernandez-Sanchez - Joint Optimization of Traffic Signaling and Vehicle Speed Advise in V2I-Enabled Traffic with Deep Reinforcement Learning (Bachelor Thesis)
  • Mao Xinwei - Investigation of Smart Routing and Queue Management for on the Fly Processing (Master Thesis)
  • Adrian Bretschneider-Perez - AI aided robot remote control (Diploma Thesis)
  • Hassine Chahed - Autonomous Transfer Learning Through the Use of a Context-Driven Artifact Description Language (Internship)
  • Yueyue Gao - Investigation of Deep Reinforcement Learning for Routing in Software-defined Networks (Master Thesis)
  • Robert Voelckner - Reinforcement Learning for Joint Control of Vehicles and Infrastructure in V2I-Enabled Traffic (Master Thesis)
  • Xianran Liu - The Impact of Network Latency on Autonomous Traffic Controlled by Deep Reinforcement Learning (Diploma Thesis)

Contact

Please write me a message if you are interested in working with me.