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Research project

Laser Technologies for Future Manufacturing

Staff

Lead researchers

Professor Michalis Zervas PhD

Professor of Optical Communications
Connect with Michalis

Email: [email protected]

Other researchers

Professor Robert Eason

Connect with Robert

Email: [email protected]

Dr Jacob Mackenzie

Associate Professor

Research interests

  • Waveguide amplifiers and lasers
  • Cryogenically cooled lasers for peak and average power scaling
  • Ultra-fast high repetition rate compact lasers
Connect with Jacob

Email: [email protected]

Professor Jayanta Sahu

Professorial Fellow-Research
Connect with Jayanta

Email: [email protected]

Professor Andy Clarkson

Professor of Optoelectronics Research
Connect with Andy

Email: [email protected]

Professor Gilberto Brambilla

Associate Dean International
Connect with Gilberto

Email: [email protected]

Professor David Richardson FREng, FRS

Research interests

  • Hollow Core Optical Fibres
  • Optical Communications
  • High Power Fibre Lasers
Connect with David

Email: [email protected]

Professor Johan Nilsson

Professor of Optoelectronics
Connect with Johan

Email: [email protected]

Collaborating research institutes, centres and groups

Research outputs

Sc2O3 on sapphire all-crystalline grating–waveguide resonant reflectors
Georgia Mourkioti, Danish Bashir, Goby A. Govindassamy, Fangfang Li, Robert W. Eason, Thomas Graf, Marwan Abdou Ahmed & Jacob I. Mackenzie, 2023, Applied Physics B: Lasers and Optics, 129(5)
DOI: 10.1007/s00340-023-08009-8
Type: article
Phase identification despite amplitude variation in a coherent beam combination using deep learning
James Grant-Jacob, Benjamin Mills & Michael N. Zervas, 2023, Optics Continuum, 2(4), 902 - 916
DOI: 10.1364/OPTCON.485728
Type: article
Optimisation of coherent beam combination using deep learning (Invited Paper)
Benjamin Mills, James Grant-Jacob & Michael N. Zervas, 2023
Type: conference
Modelling and Optimisation of Femtosecond Laser Machining via Deep Learning (Invited)
Benjamin Mills, James Grant-Jacob & Michael Zervas, 2023
Type: conference
Morphology exploration of pollen using deep learning latent space
James Grant-Jacob, Michael N. Zervas & Benjamin Mills, 2023, IOP SciNotes
DOI: 10.1088/2633-1357/acadb9
Type: article