Dr George De Ath
Telephone: 01392 724536
Extension: (Streatham) 4536
I am part of Project Bluebird, a prosperity partnership programme between the University of Exeter, NATS and The Alan Turing Institute. I lead the development of novel optimisation-based control algorithms for safe and efficient air traffic control. Following a successful presentation at the British Science Festival, our work was recently featured in the Financial Times.
Previously, I served as a permanent Research Fellow for the Institute for Data Science and Artificial Intelligence (IDSAI) at the University of Exeter. Between 2019 and 2021, I worked as a Postdoctoral Research Fellow on two UKRI-funded projects, RIBA to Reality: Deep Digital Twin to enable Human-Centric Buildings for a Carbon Neutral Future and Rapid Calibration for Operational and Strategic Digital Twins. Prior to this, I obtained my MSci in Computer Science and Mathematics and my Ph.D. in Computer Science, both at the University of Exeter.
My main research interests include the optimisation (calibration) of expensive-to-evaluate problems (models) using Bayesian optimisation, as well as more general single- and multi-objective optimisation tasks, and solving regression/classification problems in machine learning. I have experience in evolutionary optimisation, probabilistic modelling, with a particular focus on Gaussian processes, uncertainty quantification, and general machine learning methods, e.g., neural networks, random forests, support vector machines, etc.
I am eager to supervise Masters and Ph.D. students, particularly those with interests in (Bayesian) optimisation, machine learning and uncertainty quantification, using both traditional statistical methods (i.e., Gaussian processes) and deep learning-based methods. However, I am also open to supervising students with other interests.
Here is a list of current opportunities:
- EPSRC fully-funded studentships (closing 19/02/2024)
- China Scholarship Council and University of Exeter PhD Scholarships (closing 05/01/2024)
- (Ph.D.) Ben Carvell: Safety Critical Decision Making under Uncertainty – Machine Learning Approaches for Tactical Air Traffic Control