We introduce a data-driven approach to computing finite bisimulations for state transition
systems with very large, possibly infinite state space. Our novel technique computes stutter …

This letter addresses the problem of synthesizing controllers that enforce properties
expressed by Universal Co-Büchi Automata (UCA) over stochastic control systems. Our …

We present a data-driven approach to the quantitative verification of probabilistic programs
and stochastic dynamical models. Our approach leverages neural networks to compute tight …

The automated synthesis of control policies for stochastic dynamical systems presents
significant challenges. A standard approach is to construct a finite-state abstraction of the …

The possibility of errors in human-engineered formal verification software, such as model
checkers, poses a serious threat to the purpose of these tools. An established approach to …

We consider the almost sure reachability problem for discrete-time stochastic dynamical
systems, which asks if a system reaches a given subset of its state space almost surely (ie …

We introduce a machine learning approach to model checking temporal logic, with
application to formal hardware verification. Model checking answers the question of whether …

We survey a broad line of research concerned with the application of concepts and
techniques from formal verification to the model checking of reactive systems and of …

We are very excited to publish these three Festschrift volumes to celebrate the 60th birthday
of our valued colleague and mentor Joost-Pieter Katoen, aka JP, or Prof. Dr. Ir. Dr. hc Joost …

A prominent approach to ensure the safety of cyber-physical systems is through the use of
barrier certificates. Barrier certificates are real-valued functions that act as inductive proofs of …