Stefanie Rinderle-Ma

Prof. Dr. Stefanie Rinderle-Ma is a full professor for Information Systems and Business Process Management at the Department of Informatics, Technical University of Munich (TUM). Prior to TUM, she held a full professorship at the University of Vienna, leading the Research Group Workflow Systems and Technology. Her research focuses on process-oriented information systems, flexible/distributed process technologies, compliance management, production intelligence, and process mining. She has authored numerous publications in top journals and conferences, including Information Systems and BPM.

Education and Career:

• Studied Business Mathematics at the University of Augsburg.
• Completed her doctorate and habilitation at the University of Ulm.
• Postdoctoral stays in the Netherlands and Canada.
• Headed the Workflow Systems and Technology research group at the University of Vienna before joining TUM in 2021.

Research Interests: Her work emphasizes advancing digitalization and automation through processes while supporting human-centric decision-making. Key domains include production, logistics, and healthcare.

Awards and Recognition:

• Best Paper Awards (CAiSE/IEEE EDOC, 2018).
• BPM Test of Time Award (2013).
• Merckle Research Prize (2008).
• Dissertation Prize (Ulm University Society, 2005).
• IFIP TC2 Manfred Paul Award (2005).

Grants and Projects:

• Principal investigator for AdONE (Advanced Optimization in a Networked Economy, DFG, 2021–2025).
• Principal investigator for TRPro (Taming Regulatory Document Changes, DFG, 2023–2026).
• Principal investigator for BPAIS (SAP Signavio-funded project on process modeling, 2023–2027).

Labs and Teams: Leads the KrcmarLab and Wittges Lab, focusing on process intelligence, generative AI in process modeling, and IoT integration in process systems.