Advanced Model-Based Engineering and Reasoning
We're advancing computing systems through research and collaboration in modelling and verification.
Research areas
Fundamentals of modelling and verification research
We develop advanced formalisms to specify system behaviour, addressing complexities such as:
- concurrency
- uncertainty
- continuous or hybrid behaviour
Our research includes designing scalable methods to verify these models, using:
- compositional and modular techniques
- trustworthy AI-enabled techniques
Research impact
AMBER’s research is driven by a commitment to real-world impact. We translate foundational advances in modelling, verification, and reasoning into tools, methods, and frameworks that support the development of dependable and trustworthy systems. Our work has contributed to applications in areas such as software reliability, cyber-physical systems, and emerging computing technologies, in collaboration with academic and industrial partners.
Key collaborators
We work closely with a wide range of academic and industrial collaborators, reflecting the breadth of AMBER’s research and its focus on real-world impact. These partnerships support the development of new theory, tools, and methods, and help ensure that our work addresses practical challenges in dependable and trustworthy computing.
Our current collaborators include:
- Aarhus University
- Hiroshima University
- King’s College London
- Leiden University
- LMU Munich
- McMaster University
- Nicolaus Copernicus University in Torun
- Renesas Electronics
- University of Bristol
- University of Liverpool
- University of Manchester
- University of Oxford
- OCamlPro
We're developing collaborations with:
- Heriot-Watt University
- Kagawa University
- Kyoto University
- Microsoft
- Northumbria University
- Nagoya University