Peter Fettke

Peter Fettke is a Professor of Business Informatics at Saarland University and serves as Principal Researcher, Research Fellow, and Research Group Leader at the German Research Center for Artificial Intelligence (DFKI) in Saarbrücken. He leads a 30-member research group at DFKI's Institute for Business Information Systems.

His research centers on the intersection of business informatics and artificial intelligence, with emphasis on modeling computer-integrated systems and innovative application concepts. Key focus areas include Process Mining, Enterprise Modeling, and AI-driven business process optimization, where he bridges theoretical frameworks with practical implementations in public administration and industry contexts.

Recent publications reveal a strong trend toward explainable AI in process monitoring, with applications spanning accounting document analysis, job-shop scheduling, and uncertainty quantification. His work consistently integrates deep learning techniques with domain-specific business requirements, particularly in German regulatory environments and public sector workflows.

Dr. Fettke ranks among the top 10 most frequently cited researchers at DFKI, with publications frequently appearing in leading business informatics journals. He serves as Co-Editor-in-Chief of Enterprise Modelling and Information Systems Architectures (EMISAJ), underscoring his scholarly influence.

His research group secures substantial funding through projects including DiMeKI (AI-supported knowledge transfer), PM4Audit (AI-driven bookkeeping automation), ProMOEV (process mining in public administration), TRIPLEADAPT (digital twin training platforms), and AdjUST (textile industry configuration automation). These initiatives involve cross-sector partnerships with government agencies and industrial stakeholders.

The DFKI Institute for Business Information Systems, under his leadership, functions as an interdisciplinary hub connecting academic research with real-world AI deployment in business processes, particularly through its work on process mining frameworks and enterprise architecture modeling.