Klaus Bertsch M.Sc

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.