Zilverling

prof.dr. M.I.A. Stoelinga (Mariëlle)

Full Professor
EEMCS-CS-FMT
Zilverling 3063
m.i.a.stoelinga@utwente.nl
+31534893773
Business card

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 director of Life Long Learning at EEMCS. 

I also hold a 0.2 appointment as a full professor at the Radboud University Nijmegen.

Expertise

  • Computer Science

    • Fault Tree
    • Models
    • Attack
    • Model Checking
    • Automaton
    • Case Study
    • model based testing
    • Algorithms

Organisations

Ancillary activities

  • Radboud UniversityFull professor (part-time)
  • Schouten & Nelissen University of Applied SciencesAdvisory council Master Quality Management at Schouten & Nelissen
  • PLANETARTSupervisory board PLANETART
  • Nyenrode UniversityAdvisory council, Executive Insurance Program, Nyenrode

Publications

Jump to: 2025 | 2024

2025

BayesL: Towards a Logical Framework for Bayesian Networks (2025)[Working paper › Preprint]. ArXiv.org. Nicoletti, S. M. & Stoelinga, M.https://doi.org/10.48550/arXiv.2506.23773WATCHDOG: an ontology-aWare risk AssessmenT approaCH via object-oriented DisruptiOn Graphs (2025)In Advanced Information Systems Engineering: 37th International Conference, CAiSE 2025, Vienna, Austria, June 16-20, 2025. Proceedings, Part II (pp. 314-331) (Lecture Notes in Computer Science; Vol. 15702 LNCS). Springer (E-pub ahead of print/First online). Nicoletti, S. M., Hahn, E. M., Fumagalli, M., Guizzardi, G. & Stoelinga, M.https://doi.org/10.1007/978-3-031-94571-7_18Conformance in the railway industry: Single-Input-Change testing a EULYNX controller (2025)International journal on software tools for technology transfer, 27(3), 377-395. Wal, D. v., Gerhold, M., Stoelinga, M. & Rensink, A.https://doi.org/10.1007/s10009-025-00790-5What is... the point?: Single-input-change testing a EULYNX controller (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. van der Wal, D.https://doi.org/10.3990/1.9789036565042Supporting software for the paper: Conformance in the Railway Industry: Single-Input-Change Testing a EULYNX Controller (Extended Version) (2025)[Dataset Types › Dataset]. 4TU.Centre for Research Data. van der Wal, D., Gerhold, M., Rensink, A. & Stoelinga, M.https://doi.org/10.4121/49fe4e0a-a92a-4fd6-b567-9dd408ff9867Reliability and maintenance for engineering systems: Faulttrees, degradation modelling and maintenance optimisation (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Jimenez, L.https://doi.org/10.3990/1.9789036564076Modular Criticality Analysis for Dynamic Fault Trees (2025)In Principles of Verification: Cycling the Probabilistic Landscape: Essays Dedicated to Joost-Pieter Katoen on the Occasion of His 60th Birthday, Part III (pp. 274-293) (Lecture Notes in Computer Science; Vol. 15262). Springer. Sher, F., Stoelinga, M. & Volk, M.https://doi.org/10.1007/978-3-031-75778-5_13No Risk, No Fun: A Tutorial on Risk Management (2025)In Formal Methods: 26th International Symposium, FM 2024, Milan, Italy, September 9–13, 2024, Proceedings, Part II (pp. 447-468) (Lecture Notes in Computer Science; Vol. 14934). Springer. Stoelinga, M.https://doi.org/10.1007/978-3-031-71177-0_26

2024

Dodge: Ontology-Aware Risk Assessment via Object-Oriented Disruption Graphs (2024)[Working paper › Preprint]. ArXiv.org. Nicoletti, S. M., Hahn, E. M., Fumagalli, M., Guizzardi, G. & Stoelinga, M.https://doi.org/10.48550/arXiv.2412.13964How hard can it be? Quantifying MITRE attack campaigns with attack trees and cATM logic (experimental reproduction package) (2024)[Dataset Types › Dataset]. Zenodo. Nicoletti, S. M., Lopuhaä-Zwakenberg, M., Stoelinga, M., Massacci, F. & Budde, C. E.https://doi.org/10.5281/zenodo.14193935Principles of Verification: Cycling the Probabilistic Landscape - Essays Dedicated to Joost-Pieter Katoen on the Occasion of His 60th Birthday, Part III (2024)[Book/Report › Book editing]. Springer. Jansen, N., Junges, S., Kaminski, B. L., Matheja, C., Noll, T., Quatmann, T., Stoelinga, M. & Volk, M.https://doi.org/10.1007/978-3-031-75778-5Principles of Verification: Cycling the Probabilistic Landscape - Essays Dedicated to Joost-Pieter Katoen on the Occasion of His 60th Birthday, Part I (2024)[Book/Report › Book editing]. Springer. Jansen, N., Junges, S., Kaminski, B. L., Matheja, C., Noll, T., Quatmann, T., Stoelinga, M. & Volk, M.https://doi.org/10.1007/978-3-031-75783-9Principles of Verification: Cycling the Probabilistic Landscape - Essays Dedicated to Joost-Pieter Katoen on the Occasion of His 60th Birthday, Part II (2024)[Book/Report › Book editing]. Springer. Jansen, N., Junges, S., Kaminski, B. L., Matheja, C., Noll, T., Quatmann, T., Stoelinga, M. & Volk, M.https://doi.org/10.1007/978-3-031-75775-4Artifact for "Modular criticality analysis for dynamic fault trees" (2024)[Dataset Types › Dataset]. Zenodo. Sher, F., Stoelinga, M. & Volk, M.https://doi.org/10.5281/zenodo.13338380If a Tree Falls in the Forest: Risk Logics for Safety-Security Analysis (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Nicoletti, S. M.https://doi.org/10.3990/1.9789036563437Uomo Digitalis (2024)In Ongefilterde expertadviezen voor de digitale overheid (pp. 11-12). Ministerie BZK. Stoelinga, M. & Waser, J.How hard can it be?: Quantifying MITRE attack campaigns with attack trees and cATM logic (2024)[Working paper › Preprint]. ArXiv.org. Nicoletti, S. M., Lopuhaä-Zwakenberg, M., Stoelinga, M., Massacci, F. & Budde, C. E.https://doi.org/10.48550/arXiv.2410.06692Safety-Security Analysis via Attack-Fault-Defense Trees: Semantics and Cut Set Metrics (2024)In Computer Safety, Reliability, and Security: 43rd International Conference, SAFECOMP 2024, Florence, Italy, September 18–20, 2024, Proceedings (pp. 218-232) ( Lecture Notes in Computer Science; Vol. 14988). Springer. Soltani, R., Lopuhaä-Zwakenberg, M. & Stoelinga, M.https://doi.org/10.1007/978-3-031-68606-1_14Quantitative Comparisons of MITRE ATT&CK Campaigns (2024)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Nicoletti, S. M., Lopuhaä - Zwakenberg, M. A., Stoelinga, M., Massacci, F. & Budde, C.https://doi.org/10.4121/779a6a17-ed5e-4bfc-9068-6a16e3f7d10dA comparison of anomaly detection algorithms with applications on recoater streaking in an additive manufacturing process (2024)Rapid prototyping journal (E-pub ahead of print/First online). Stribos, R., Bouman, R., Jimenez, L., Slot, M. & Stoelinga, M. I. A.https://doi.org/10.1108/RPJ-03-2024-0125Fault Tree Inference using Multi-Objective Evolutionary Algorithms and Confusion Matrix-based Metrics (2024)In Formal Methods for Industrial Critical Systems: 29th International Conference, FMICS 2024, Milan, Italy, September 9–11, 2024, Proceedings (pp. 80-96). Springer. Jimenez, L., Rusnac, N., Volk, M. & Stoelinga, M. I. A.https://doi.org/10.1007/978-3-031-68150-9_5Maintenance Strategies for Sewer Pipes with Multi-State Degradation and Deep Reinforcement Learning (2024)In Proceedings of the 8th European Conference of the PHM Society 2024 (pp. 629-642). Jimenez, L., Simão, T. D., Bukhsh, Z., Tinga, T., Molegraaf, H., Jansen, N. & Stoelinga, M. I. A.https://doi.org/10.36001/phme.2024.v8i1.4091Comparing Homogeneous And Inhomogeneous Time Markov Chains For Modelling Degradation In Sewer Pipe Networks (2024)In European Safety and Reliability Conference (ESREL) (pp. 86-96). Article 9. Polish Safety and Reliability Association. Jimenez, L., Tinga, T., Heskes, T. & Stoelinga, M. I. A.CTMCs with Imprecisely Timed Observations (2024)In Tools and Algorithms for the Construction and Analysis of Systems: 30th International Conference, TACAS 2024, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2024, Luxembourg City, Luxembourg, April 6–11, 2024, Proceedings, Part II (pp. 258-278). Springer. Badings, T., Volk, M., Junges, S., Stoelinga, M. & Jansen, N.https://doi.org/10.1007/978-3-031-57249-4_13SAFEST: Fault Tree Analysis Via Probabilistic Model Checking (2024)In RAMS 2024 - Annual Reliability and Maintainability Symposium, Proceedings (Proceedings - Annual Reliability and Maintainability Symposium). IEEE. Volk, M., Sher, F., Katoen, J. P. & Stoelinga, M.https://doi.org/10.1109/RAMS51492.2024.10457719

Research profiles

Affiliated study programs

Courses academic year 2025/2026

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2024/2025

Courses academic year 2023/2024

Zorro:  Engineering for Zero Downtime in Cyber-Physical Systems via Intelligent Diagnostics

PrimaVera: Predictive Maintenance for Very effective asset management.

CAESAR: Integrating Safety and Security through stochastic model checking

  • funded by ERC Consolidator grant

FORMASIG:

SEQUOIA: Smart maintenance optimization via big data and fault tree analysis

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