OXCAV - The Oxford Control & Verification group - is part of the Department of Computer Science at the University of Oxford, and is led by Prof. Alessandro Abate.
Our research interests lie in the formal verification and optimal control of heterogeneous and complex dynamical models, built from first principles or learnt from data. We blend in techniques from machine learning and AI, such as Bayesian inference, RL, and game theory.
Highlights of our work are the analysis of stochastic hybrid systems, applications in cyber-physical systems (smart energy and safety-critical autonomy), and modelling for the life sciences (systems biology).
See our Projects page for a list of ongoing and recent research initiatives.
A few resources for research (from published or presented material), and for teaching (from courses and workshops) are here.
We are keen to perform open science, with processes that are repeatable, reproducible, and replicable. In our work, this translates to developing and sharing data and code, and to developing software tools, most of which are available on git (or similar platforms), and often packaged and published as 'Tool Papers' - please see here.