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Mariëlle Stoelinga is a Full Professor at the University of Twente where she specializes in Risk Management for high-tech systems such as robots, nuclear plants, and railway systems. Her work focuses on developing quantitative risk assessment methods to ensure that risks related to high-tech systems remain within acceptable boundaries. She employs advanced techniques such as fault trees and model-based testing to analyze, predict, and improve the reliability of complex systems. A distinguishing feature of her techniques is compositionality, allowing for the derivation of risk profiles for complex systems from component risk profiles using powerful model checking. In addition to her role at the University of Twente, she holds a part-time appointment as a full professor at Radboud University Nijmegen. Her expertise extends to Fault Tree Models, Attack Model-Based Testing, and Case Study Algorithms. Furthermore, she is involved in various advisory and supervisory roles across institutions, indicating her active participation in academia and industry collaboration.
University of Twente • Enschede, Netherlands
Leading research and teaching in the areas of risk management and reliable high-tech systems.
Radboud University Nijmegen • Nijmegen, Netherlands
Contributing to the academic community primarily in the field of risk management.
Includes specializations in Financial Engineering & Management, Healthcare Technology & Management, and Production & Logistics Management.