Rate My Professor Christian Gehrmann

Christian Gehrmann is Professor and Office Director at Secure and Networked Systems in the Department of Electrical and Information Technology, Faculty of Engineering (LTH) at Lund University. He earned an M.Sc. degree in electronic engineering and a Ph.D. degree in information theory from Lund University. His research specializes in information security, with a focus on cybersecurity for cyber-physical systems, industrial automation and control systems, Internet of Things (IoT) data protection, 5G networks, edge computing, and vulnerability detection. Gehrmann is actively involved in advancing secure software platforms, trust establishment, key management, and AI-driven security solutions for next-generation communication infrastructures.

Gehrmann serves as Principal Investigator (PI) on several prestigious projects, including ELASTIC: Efficient, portabLe And Secure orchesTration for reliable servICes (European Commission - Horizon Europe, 2024–2027), Sec4Factory: Cyber Security for Next Generation Factory (Swedish Foundation for Strategic Research, 2018–2024), and contributes as researcher to MASSIV: Multiplattformsstöd för Automatiserade Säkerhetsprofiler i Svensk Infrastruktur och för olika Vertikaler (2025–2027), SOURCE: Secure Operation of Uncontrolled and Reliable Computing on the Edges (2024–2029), and NextG2Com – a Vinnova Competence Centre in Advanced Digitalisation (2024–2028). He is a member of the ELLIIT strategic research area on IT and mobile communication and the LTH Profile Area on AI and Digitalization. His scholarly output includes 44 research items, featuring key publications such as 'A Digital Twin Based Industrial Automation and Control System Security Architecture' (IEEE Transactions on Industrial Informatics, 2020), 'CyberROAD: a cybersecurity risk assessment ontology for automotive domain aligned with ISO/SAE 21434:2021' (Journal of Information Security and Applications, 2025), 'A Trust Establishment and Key Management Architecture for Hospital-at-Home' (ACM Transactions on Computing for Healthcare, 2025), 'Learning at the edge: simulated DDoS detection in 5G networks' (Proceedings of the 38th Conference of Open Innovations Association FRUCT, 2025), and 'Catching common vulnerabilities with code language models' (2025). Through these contributions, Gehrmann influences the development of resilient security architectures for industrial and networked systems.