Christian Vielhaus

Dipl.-Ing. Christian Vielhaus

PhD Researcher

Christian Vielhaus is a PhD researcher at the “Deutsche Telekom Chair of Communication Networks” at TU Dresden since March 2020.
His current research focus is machine learning for communication networks.

Contact

Phone: +49 351 46340775
Email: christian.vielhaus@tu-dresden.de

Research Interests

  • Network Simulation / Emulation
  • Machine Learning in networking
  • Congestion Control

Teaching

SS 21

  • Fundamentals of Electrical Engineering 2

WS 20/21

  • Oberseminar
  • Problem-Based Learning
  • Fundamentals of Electrical Engineering 1

SS 20

  • Communication Networks 2

Supervision

Diploma / Master Thesis

  • Mobility- and Incentive-aware Task Offloading Framework considering inter-dependency of tasks in Device-enhanced MEC systems (Osel Lhamo)

Student / Bachelor Thesis

  • Improving the robustness of congestion control algorithms based on deep reinforcement learning (Helmut Michael Zeisel)

Publications

2020

Latzko, Vincent ; Vielhaus, Christian Leonard ; Fitzek, Frank H P

Use Case Driven Evolution of Network Coding Parameters Enabling Tactile Internet Applications Inproceedings

2020 IEEE International Conference on Communications (ICC): Communication Theory Symposium (IEEE ICC'20 – CT Symposium), Dublin, Ireland, 2020.

BibTeX

Vielhaus, Christian Leonard

Machine Learning for Congestion Control Book Chapter

Fitzek, Frank H P; Granelli, Fabrizio ; Seeling, Patrick (Ed.): Computing in Communication Networks – From Theory to Practice, 1 , Chapter 18, pp. 329-340, Elsevier, 1, 2020, (https://cn.ifn.et.tu-dresden.de/compcombook/).

BibTeX