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Research project

Beam-shaping for laser-based additive and subtractive manufacturing technology

Staff

Lead researchers

Dr Ben Mills

Principal Research Fellow
Connect with Ben

Email: bm602@orc.soton.ac.uk

Other researchers

Dr James A. Grant-Jacob

Senior Research Fellow-ORC advanced
Research interests
  • Photonics with artificial intelligence
  • Environmental sensing using light
  • Laser-induced forward transfer (LIFT)
Connect with James A.

Email: J.A.Grant-Jacob@soton.ac.uk

Research outputs

The future of bone regeneration: integrating AI into tissue engineering
Benita, Scout MacKay, Karen Marshall, James Grant-Jacob, Janos Kanczler, Robert W. Eason, Richard Oreffo & Benjamin Mills, 2021, Biomedical Physics & Engineering Express, 7(5)
DOI: 10.1088/2057-1976/ac154f
Type: article
Exploring deep learning for MRI sequence transformation
James Grant-Jacob, Chris Everitt, R.W. Eason, Leonard King & Benjamin Mills, 2021
Type: conference
Pollen grain identification using semantic image segmentation
James Grant-Jacob, Matthew Praeger, R.W. Eason & Benjamin Mills, 2021
Type: conference
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
Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments
Matthew Praeger, Yunhui Xie, James Grant-Jacob, R.W. Eason & Benjamin Mills, 2021, Machine Learning: Science and Technology, 2(3)
DOI: 10.1088/2632-2153/abf0f6
Type: article
In-flight sensing of pollen grains via laser scattering and deep learning
James Grant-Jacob, Matthew Praeger, R.W. Eason & Benjamin Mills, 2021, Engineering Research Express, 3(2)
DOI: 10.1088/2631-8695/abfdf8
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