Joost-Pieter Katoen

Kickoff Meeting RTG UnRAVeL

On November 10 the official kick-off meeting of the Research Training Group UnRAVeL (Uncertainty and Randomness in Algorithms, Verification and Logic) will take place in room 9222, E3 Building. The program includes invited talks by the renowned researchers Prof. Marta Kwiatkowska (University of Oxford) and Prof. Rolf Möhring (TU Berlin), two-minutes talks by the UnRAVeL […]

Young Researcher Award for Sebastian Junges

Sebastian Junges today received the Young Research Award, a prize for excellent young researchers (students and Ph.D. students) in the ICT field, awarded by the ICT Profile Area of RWTH Aachen University. The prize comes with a financial support for Sebastian’s career.

Christina Jansen defended her PhD dissertation

Thursday October 19, Christina Jansen successfully defended her PhD dissertation, entitled “Static Analysis of Pointer Programs: Linking Grapph Grammars nd Separation Logic” for a jury consisting of Marieke Huisman (University of Twente, NL), Gerhard Woeginger, Horst Lichter, Thomas Noll, and Joost-Pieter Katoen (all Aachen).  Christina’s dissertation is concerned with establishing a connection between data structure […]

Paper accepted at POPL 2018

The paper entitled “A new proof rule for almost-sure termination” by Annabelle McIver, Carroll Morgan, Benjamin Kaminski, and Joost-Pieter Katoen has been accepted for POPL 2018. The paper presents a proof rule to verify whether a probabilistic program (possibly including non-determinacy) almost surely terminates. The new proof rule enables to capture a larger class of […]

Paper accepted in ACM TOPLAS

The paper “Conditioning in Probabilistic Programming” by Federico Olmedo, Friedrich Gretz, Nils Jansen, Benjamin L. Kaminski, Joost-Pieter Katoen and Annabelle McIver has been accepted for the journal ACM Transactions on Programming Languages and Systems. The paper treats the semantic intricacies of introducing conditioning in a probabilistic programming language, its interference with non-determinacy, and divergence.

Best Paper Award at SRDS 2017

The paper entitled “Automated Fine Tuning of Probabilistic Self-Stabilizing Algorithms” by Saba Aflaki, Matthias Volk, Borzoo Bonakdarpour, Joost-Pieter Katoen and Arne Storjohann has been selected as Prof. C.V. Ramamoorthy Best Paper Award at the 36th IEEE Int. Symposium on Reliable Distributed Systems in Hongkong. The paper presents automated techniques to find the probability distribution that […]

Symposium ModelEd, TestEd, TrustEd

In honour of the 60th birthday of Ed Brinksma, we co-organize the symposium “ModelEd, TestEd, TrustEd” on 18 October 2017, in the Amphitheatre (Vrijhof), University of Twente, the Netherlands. The symposium will be a scientific event hosting a number of renowned speakers with whom Ed Brinksma has cooperated in the past. The day will culminate […]

Paper accepted at SRDS 2017

The paper entitled “Automated Fine Tuning of Probabilistic Self-Stabilizing Algorithms” by Saba Aflaki, Matthias Volk, Borzoo Bonakdarpour, Joost-Pieter Katoen and Arne Storjohann has been accepted at SRDS 2017 in Hongkong. The paper presents automated techniques to find the probability distribution that achieves minimum average recovery time for randomized distributed self-stabilizing algorithms.

Paper accepted at SafeComp 2017

The paper entitled “Model-Based Safety Analysis of Vehicle Guidance Systems” by Majdi Ghadhab, Sebastian Junges, Joost-Pieter Katoen, Matthias Kuntz and Matthias Volk, has been accepted at SafeComp 2017. The paper emerged from a co-operation with BMW and presents a model-based approach towards the safety analysis of vehicle guidance systems by comparing different mappings from functional […]

12 vacant Ph.D. positions

We are looking for enthusiastic and highly qualified doctoral researchers. 12 positions are available within the Research Training Group (RTG) UnRAVeL. The key emphasis of an RTG is on the qualification of doctoral researchers with a focused research program and a structured training strategy. UnRAVeL aims to significantly advance probabilistic modelling and analysis for uncertainty […]