Distinguished IoT Researcher and Smart Space Analytics Expert
Associated with :
Technische Universität MünchenChristian Lübben serves as Research Associate and PhD student at the Technical University of Munich's Chair of Network Architectures and Services, where he has established himself as an expert in IoT smart space optimization. As a key member of the IoT Smart Space Orchestration (S2O) team, he focuses on using Artificial Intelligence and advanced data analytics to tackle complex IoT challenges including security, usability, resilience, scalability, and performance. His research impact is evidenced through multiple publications on device-specific anomaly detection and autonomous convergence mechanisms for IoT systems, including award-winning work at IEEE/IFIP conferences. As a lecturer for TUM's iLab courses, including the Virtual Internet Laboratory (iLabX), he helps students master practical networking skills while supervising numerous theses on AI-based anomaly detection and network security. Through his collaboration with Professor Marc-Oliver Pahl and the S2O team, he continues to advance IoT optimization while working toward making smart space orchestration as accessible as smartphone app development.