Probabilistic timing analysis
Quantifying the chance that a real-time workload completes within its deadline, rather than relying only on worst-case bounds.
Real-time systems · Applied probability
PhD researcher at MPI-SWS · Member of IMPRS-TRUST
I am a PhD researcher at the Max Planck Institute for Software Systems and a member of IMPRS-TRUST. My research focuses on the probabilistic analysis of real-time systems—particularly on understanding how uncertainty and dependencies in execution times affect the probability of meeting deadlines.
Research
More broadly, I am interested in applied probability, real-time and dependable systems, and the intersection of mathematical modelling and computer systems.
Quantifying the chance that a real-time workload completes within its deadline, rather than relying only on worst-case bounds.
Understanding how correlations and shared sources of variability change schedulability and deadline-miss probabilities.
Connecting mathematical models with guarantees that remain meaningful for practical, time-critical computer systems.
What draws me to this work: problems where abstract probability has to say something precise and useful about the behaviour of a real computer.
Publications
I am currently developing the first results of my doctoral research. Preprints, papers, and accompanying materials will be listed as they become publicly available.
Open publications pageAcademic home
Contact
MPI-SWS, Campus Kaiserslautern
Paul-Ehrlich-Straße G 26
67663 Kaiserslautern, Germany