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Fault Trees and Reliability Engineering

Fault trees are a prominent model in reliability engineering. They help express the occurence of a top-level failure in terms of faults in the system. We have studied the quantitative analysis of Fault Trees, in particular of an extension of Fault Trees called Dynamic Fault Trees. Dynamic Fault Trees allow for complex and order-dependent combinations of faults to be expressed capturing e.g. different failure rates of unused spare components

Parameter Synthesis in Markov Models

Markov models assume a fixed transition probability. However, often these transition probabilities are based on expert estimates or learned from data. It is therefore natural to consider symbolic probabilities in the form of parameters, and investigate for which parameter values a model satisfies a given specification.

Probabilistic Model Checking

A core part of my research considers the model-based analysis of (temporal,declaritive) specifications on Markov models such as Continous-Time Markov Chains, Markov Decision Processes, Markov Automata.

Analysis for POMDPs

Partially observable MDPs are a rich modelling formalism to model real world systems. We have considered both verification and controller synthesis approaches to their analysis.

Runtime Assurance and Enforcement

System safety must be ensured not only during design time, but also during runtime. Design-time verification may be too costly or make assumptions on the environment that later are not valid. This is where runtime verification comes into play.

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.