We perform fundamental optical physics and materials research. This is critical for the discovery and development of new and improved optoelectronic technologies.

Vision, Learning and Control

Our work covers a range of technological areas from control, to machine learning and computer vision.

Research outputs

Modelling of fibre laser cutting via deep learning

Alexander Courtier,

Michael, David Tom McDonnell,

Matthew Praeger,

James Grant-Jacob,

Christophe A. Codemard,

Paul Harrison,

Benjamin Mills,

& Michalis N. Zervas

, 2021 , Optics Express , 29 (22) , 36487--36502

DOI: 10.1364/OE.432741

Type: article

Machine learning for multi-dimensional optimisation and predictive visualisation of laser machining

Michael, David Tom McDonnell,

James Grant-Jacob,

Benjamin Mills,

R.W. Eason,

Matthew Praeger,

Dimitris Karnakis,

Daniel Arnaldo,

& Etienne Pelletier

, 2021 , Journal of Intelligent Manufacturing , 32 (5) , 1471–1483

DOI: 10.1007/s10845-020-01717-4

Type: article

Predictive visualisation of fibre laser machining via deep learning

Alexander Courtier,

Michael David Tom McDonnell,

Matthew Praeger,

James Grant-Jacob,

Christophe A. Codemard,

Benjamin Mills,

& Michael N. Zervas

, 2021

DOI: 10.1109/CLEO/Europe-EQEC52157.2021.9542389

Type: conference

Identification of spatial intensity profiles from femtosecond laser machined depth profiles via neural networks

Michael, David Tom McDonnell,

James Grant-Jacob,

Matthew Praeger,

R.W. Eason,

& Benjamin Mills

, 2021 , Optics Express , 29 (22) , 36469--36486

DOI: 10.1364/OE.431441

Type: article

Exploring sequence transformation in magnetic resonance imaging via deep learning using data from a single asymptomatic patient

James Grant-Jacob,

Chris Everitt,

R.W. Eason,

Leonard King,

& Benjamin Mills

, 2021 , Journal of Physics Communications , 5 (9)

DOI: 10.1088/2399-6528/AC24D8

Type: article