Moves News

NII Shonan Seminar

The MOVES group is co-organising a seminar on Analysis and Verification of Pointer Programs, which will be held from October 2 to 5, 2017, as an NII Shonan Meeting at Shonan Village Center in Japan. This meeting will be a scientific event bringing together both theoreticians and practitioners working on different techniques for heap abstraction […]

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 CDC 2017

The paper entitled “Motion Planning under Partial Observability using Game-Based Abstraction” by Leonore Winterer, Sebastian Junges, Ralf Wimmer, Nils Jansen, Ufuk Topcu, Joost-Pieter Katoen, and Bernd Becker has been accepted for publication at CDC 2017 in Melbourne, Australia. The paper applies model-checking to synthesise motion plans for robots under partial observability, and makes this feasible by […]

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 […]

Prof. Joost-Pieter Katoen receives the “FAMOS für Familie” price by RWTH University.

The MOVES group proudly announces that Professor Joost-Pieter Katoen has received the “FAMOS für Familie” price by RWTH Aachen University. Based on nominations by employees, it is yearly awarded to management personnel at our university. Its aim is to acknowledge particular effort for family-friendly working conditions, sustainable team leadership, and creative solutions to staff management. […]

Paper accepted in IEEE Trans. on Industrial Informatics

The paper “Fast Dynamic Fault Tree Analysis by Model Checking Techniques” by Matthias Volk, Sebastian Junges, and Joost-Pieter Katoen has been accepted to IEEE Transactions on Industrial Informatics. The paper presents a novel state-space generation technique for DFTs and combines this with a simple, though very effective, abstraction.