Klaus Bertsch M.Sc
Institute of Data-Centric Software Systems
Research Assistant/PhD Student
Research
My research interests lie at the intersection of communication networks, machine learning, and Network Digital Twins. A particular focus is the explainability of graph neural network models: I investigate how abstract XAI outputs can be combined with topology, traffic, forwarding, and telemetry data to produce traceable and actionable explanations for network operations. I also study the empirical development and validation of these approaches in programmable high-speed networks and physical hardware testbeds to support trustworthy and transparent network automation.
Publications
XNDT: Towards Explainable Network Digital Twins using a High-Fidelity Hardware Testbed
K. Bertsch and O. P. Waldhorst
Proc. Upper-Rhine Artificial Intelligence Symposium, Windisch, Switzerland 2026
Available: To appear
Contact
Klaus Bertsch M.Sc
klaus.bertsch@h-ka.de
Institute of Data-Centric Software Systems
Research Assistant/PhD Student
Phone
-
Room
TPF-3F09