Martin Matzner

Prof. Dr. Martin Matzner is a Professor at Friedrich-Alexander University Erlangen-Nürnberg, holding the Chair of Digital Industrial Service Systems. He studied Business Informatics at the University of Münster and Turku School of Economics, earned his doctorate in 2012 for work on service networks, and received a teaching license in Business Informatics in 2016. His research focuses on IT-supported services, business process management, and design-oriented business informatics research, with significant contributions to digital transformation and smart service systems.

• Current affiliation: Friedrich-Alexander University Erlangen-Nürnberg
• Previous roles: University of Münster (2007-2017)
• Key research areas: Business Process Management, Process Mining, Smart Service Systems, Predictive Analytics

His recent publications emphasize predictive process monitoring using machine learning, transfer learning for cross-domain applications, explainable AI in business processes, and platform ecosystem governance. He has pioneered methods for adaptive AI control in manufacturing and context-aware process analytics, with applications spanning logistics, healthcare (ICU admission prediction), and human resources. His work bridges technical process mining with sociotechnical perspectives, particularly in algorithm adoption and ethical implications.

Prof. Matzner's research has produced 15+ recent publications (2025-2024) in journals like International Journal of Production Research, Computers in Industry, and conferences including ECIS and ICIS. Topics demonstrate a progression from process efficiency optimization to human-AI collaboration and regulated AI risk assessment. His methodological toolkit spans LSTM networks, graph-based neural models, and LRP explanation techniques.