Professor of Risk Management for High-tech systems
How do we design our robots, nuclear plants, railway systems and heart monitors such that they are safe and reliable? How do we make sure that data centers and water supply systems are aways available?
I am developing quantitative risk assessments methods that ensure that the risks related to high tech systems lie within acceptable boundaries. I develop techniques to analyze, predict, improve reliability of complex systems, using fault trees, model-based testing, and architectural reliability modeling.
Technically, distinguishing feature of my techniques is compositionality: I derive risk profiles from a complex systems from component risk profiles, using powerful techniques from model checking. This makes life easy, flexible and fast.
Further, I am the scientific programme leaders of the executive MSc programme on Risk Management. This is a 70 EC Master programme for professionals.
I also hold a 0.2 appointment as a full professor at the Radboud University Nijmegen.
Schouten & Nelissen University of Applied Sciences
Advisory panel of the Master on Quality Management at Schouten & Nelissen University of Applied Sciences
Nyenrode Business University
Advisory board Executive Insurance Program
UT Research Information System
Google Scholar Link
Affiliated Study Programmes
PrimaVera: Predictive Maintenance for Very effective asset management.
- funded by National Science Agenda.
- See https://primavera-project.com/
CAESAR: Integrating Safety and Security through stochastic model checking
- funded by ERC Consolidator grant
- funded by ProRail and Deutsche Bahn
- Formal methods in railways signaling infrastructure standardisation processes
SEQUOIA: Smart maintenance optimization via big data and fault tree analysis