Would it not be great to live in a world where computers never crash, trains always ride and banks are never hacked?
This is the ultimate goal of risk management. In FMT, we work on the risk analysis phase, where one identifies, evaluates and prioritizes risks, to come up with (cost-) effective countermeasures. We use a wide variety of techniques: novel algorithms and data structures, new risk models and visualization techniques. We offer both theoretical projects and applied projects with companies.
The topic of Risks in High-Tech Systems: Models, Methods, Data & Tools encompasses the following:
- Fault tree analysis: Fault trees are a popular risk model deployed in industry. They model how component failures arise and propagate through the systems, and lead to system level failures. We have developed several analysis methods, based on model checking. Thesis topics aim at making these methods more efficient (e.g. through BDDs) and more expressive (e.g. adding risk scenarios).
- Predictive maintenance aims at predicting failures better based on sensor data and historic failures, so that maintenance can be planned more efficiently. Predictive maintenance is well-understood for single component models, but system level techniques are lacking. Thesis topics are to combine these techniques with architectural system models.
- Big data is not only relevant to optimize maintenance, but risks in general: the more information about failures and their relations, the better you can control risks. Thesis projects can explore different ways to exploit data.
- Safety-security interactions: Safety (no unintended failures) and security (no malicious attacks) are both important for the availability of systems. In a thesis project, you can work on integrating these, focussing on how safety and security interact, and how to best model this.
- Industrial case studies: In all the topics above, we are interested in industrial cases, at companies (ASML, Philips, OCE, ...) risk consultancy firms (KPMG, Movares, ...), government bodies (NS, ProRail, Rijkswaterstaat), etc.
If you are interested in the general topic of Risks in High-Tech Systems: Models, Methods, Data & Tools, or if have your own project idea related to the topic, please contact us directly. Alternatively, you can also work on one of the following concrete project proposals: