Meet the Team
A multidisciplinary team of researchers, engineers, and domain experts working at the intersection of AI and air traffic management — spanning NATS, The Alan Turing Institute, and the University of Exeter.
Research Theme 1 — Digital Twin
Research Theme 3 — Assurance
Data Team
Previous Collaborators
Team Profile
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Team
Principal Investigators
Role
Academic Principal Investigator / Professor of Machine Learning
Professor Richard Everson
Academic Principal Investigator / Professor of Machine Learning
Biography
Richard Everson graduated with a degree in Physics from Cambridge University and a PhD in Applied Mathematics from Leeds University in 1988. He worked at Brown and Yale Universities on fluid mechanics and data analysis problems until moving to Rockefeller University, New York to work on optical imaging and modelling of the visual cortex. After working at Imperial College, London, he was appointed lecturer at Exeter University in 1999, where he is now a Professor of Machine Learning and Director of the Institute for Data Science and AI.
Publications
- A Future Capabilities Agent for Tactical Air Traffic Control
AIAA SciTech Forum, 2026
- Human-in-the-Loop Testing of AI Agents for Air Traffic Control with a Regulated Assessment Framework
AIAA SciTech Forum, 2026
- Online Action-Stacking Improves Reinforcement Learning Performance for Air Traffic Control
AIAA SciTech Forum, 2026
- A Probabilistic Digital Twin of UK En Route Airspace for Training and Evaluating AI Agents for Air Traffic Control
AIAA SciTech Forum, 2026
- Towards Transparent AI Agents for Air Traffic Control
AIAA SciTech Forum, 2026
- A Sector-Specific Probabilistic Approach for 4D Aircraft Trajectory Generation
Transportation Research Part C, 2025
- Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity
AIAA AVIATION Forum, 2025
- A probabilistic model for aircraft in climb using monotonic functional gaussian process emulators
Proceedings of the Royal Society A, 2023