Matthias Volk

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Room 4205
Ahornstraße 55
D-52074 Aachen
+49 241 80 21212


I am a PhD student at the Software Modeling and Verification Group (MOVES) headed by Professor J.-P. Katoen since December 2015. I was a doctoral researcher (Stipendiat) within the Research Training Group UnRAVeL since 2017. Since 2020 I am part of the ERC research project FRAPPANT.
My research interests include:

  • Analysis of dynamic fault trees (DFTs)
  • Verifiying fault trees for railway safety (see UnRAVeL project AP4)
  • Model checking of (parametric) probabilistic systems

Tool support

I am actively involved in the development of the following tools:

  • The probabilistic model checker Storm and its python bindings stormpy
  • The python bindings pycarl for the arithmetic library CArL
  • The parameter synthesis framework for parametric Markov chains PROPhESY

Bachelor/Master Theses

I am always looking forward to work with students. If you are looking for a thesis in one of the areas above, do not hesitate to contact me and we can discuss current thesis topics. Some ideas are also given in our list of open topics.

Currently, I am supervising the following theses:

  • Daniel Basgöze, Dynamic Fault Tree Analysis using Binary Decision Diagrams, Bachelor thesis (together with Shahid Khan)
  • Markus Miliats, Analyzing critical components in Dynamic Fault Trees, Bachelor thesis

In the past, I have been supervising the following theses:


I am currently involved in the following teaching activities:

Past teaching activities:


Our paper A DFT Modeling Approach for Infrastructure Reliability Analysis of Railway Station Areas (joint work with Norman Weik, Joost-Pieter Katoen and Nils Nießen) won the Best Paper Award at the 24th International Conference on Formal Methods for Industrial Critical Systems (FMICS) in Amsterdam in 2019. The paper presents a model of railway station areas in terms of dynamic fault trees (DFTs). The DFT model is used to assess the reliability of the infrastructure elements in the station area and the influence of infrastructure failures on the routability options of trains.

Our paper Automated Fine Tuning of Probabilistic Self-Stabilizing Algorithms (joint work with Saba Aflaki, Borzoo Bonakdarpour, Joost-Pieter Katoen and Arne Storjohann) won the Prof. C.V. Ramamoorthy Best Paper Award at the 36th IEEE Int. Symposium on Reliable Distributed Systems (SRDS) in Hongkong in 2017. The paper presents automated techniques to find the probability distribution that achieves minimum average recovery time for randomized distributed self-stabilizing algorithms.

DOI fulltext PDF [bibtex]
title = {The probabilistic model checker STORM},
author = {Hans Christian Hensel and Sebastian Junges and Joost-Pieter Katoen and Tim Quatmann and Matthias Volk},
publisher = {Springer},
journal = {International journal on software tools for technology transfer},
pages = {22 Seiten},
type = {Journal Article},
year = {2021},
doi = {10.1007/s10009-021-00633-z},
url = {},
Hans Christian Hensel, Sebastian Junges, Joost-Pieter Katoen, Tim Quatmann, Matthias Volk. The probabilistic model checker STORM, International journal on software tools for technology transfer, 22 Seiten, Springer, 2021.
fulltext PDF [bibtex]
title = {UnRAVeL Research Training Group: Uncertainty and Randomness in Algorithms, Verification, and Logic},
author = {Joost-Pieter Katoen and Martin Ritzert and Richard Wilke and Katrin M. Dannert and Peter Lindner and Dennis Fischer and Janosch Fuchs and Björn Frederik Tauer and Vipin Ravindran Vijayalakshmi and Laura Vargas Koch and Nadine Friesen and Andreas Gabriel Klinger and Marcel Tobias Hark and Benjamin Lucien Kaminski and Sebastian Junges and Jip Josephine Spel and Anton Pirogov and Stefan Schupp and Till Hofmann and Daxin Liu and Martin Comis and Tabea Claudia Krabs and Stephan Zieger and Rebecca Haehn and Matthias Volk and Norman Weik and Helene-Maria Bolke-Hermanns},
pages = {85 Seiten},
type = {Tech Report},
year = {2020},
url = {},
Joost-Pieter Katoen, Martin Ritzert, Richard Wilke, Katrin M. Dannert, Peter Lindner, Dennis Fischer, Janosch Fuchs, Björn Frederik Tauer, Vipin Ravindran Vijayalakshmi, Laura Vargas Koch, Nadine Friesen, Andreas Gabriel Klinger, Marcel Tobias Hark, Benjamin Lucien Kaminski, Sebastian Junges, Jip Josephine Spel, Anton Pirogov, Stefan Schupp, Till Hofmann, Daxin Liu, Martin Comis, Tabea Claudia Krabs, Stephan Zieger, Rebecca Haehn, Matthias Volk, Norman Weik, Helene-Maria Bolke-Hermanns. UnRAVeL Research Training Group: Uncertainty and Randomness in Algorithms, Verification, and Logic, 85 Seiten, 2020.
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