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Research project

Lasers that Learn

Staff

Lead researchers

Dr Ben Mills

Principal Research Fellow
Connect with Ben

Email: [email protected]

Other researchers

Professor Robert Eason

Connect with Robert

Email: [email protected]

Professor Mahesan Niranjan

ISIS Chair
Connect with Mahesan

Email: [email protected]

Dr Matthew Praeger

Senior Research Fellow
Connect with Matthew

Email: [email protected]

Collaborating research institutes, centres and groups

Research outputs

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
Semantic segmentation of pollen grain images generated from scattering patterns via deep learning
James Grant-Jacob, Matthew Praeger, R.W. Eason & Benjamin Mills, 2021, Journal of Physics Communications, 5(5)
DOI: 10.1088/2399-6528/ac016a
Type: article
Deep learning for the automated feature labelling of 3-Dimensional Imaged Placenta
Benita Scout MacKay, James Grant-Jacob, R.W. Eason, Rohan Lewis & Benjamin Mills, 2021
DOI: 10.1007/978-3-030-72379-8_6
Type: bookChapter
Determination of size of urban particulates from occluded scattering patterns using deep learning and data augmentation
James Grant-Jacob, Matthew Praeger, Matthew Loxham, R.W. Eason & Benjamin Mills, 2021, Environmental Research Communications, 3(2)
DOI: 10.1088/2515-7620/abed94
Type: article
Laser-induced backward transfer of monolayer graphene
Matthew Praeger, Symeon Papazoglou, Amaia Pesquera, Amaia Zurutuza, Adi Levi, Doron Naveh, Ioanna Zergioti, Robert W. Eason & Benjamin Mills, 2020, Applied Surface Science, 533
DOI: 10.1016/j.apsusc.2020.147488
Type: article