Projects per year
Personal profile
Personal Statement
Steven Johnson, who joined the Physics Department in 2024, specializes in developing ultra-precise clocks using miniaturized atomic quantum technology. The application for this clock will be for navigation and timing applications. His expertise spans experimental control, laser development, deep learning, and imaging sensors.
Previously, he worked at the University of Glasgow, focusing on novel imaging methods and covert image transmission within the UK Quantum Imaging hub, Quantic. Steven also holds a PhD from the University of Birmingham, where he was part of the Ultra-cold Atom Group.
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Collaborations and top research areas from the last five years
Projects
- 1 Finished
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UK National Quantum Technology Hub in Sensing and Timing
Griffin, P. (Principal Investigator), Hunter, D. (Principal Investigator), Johnson, S. (Principal Investigator), McGilligan, J. P. (Principal Investigator), Moriya, P. (Principal Investigator), Riis, E. (Principal Investigator), Arnold, A. (Co-investigator), Griffin, P. (Co-investigator), Hastie, J. (Co-investigator), Ingleby, S. (Co-investigator), Moriya, P. (Research Co-investigator) & Moriya, P. (Research Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/12/19 → 30/11/24
Project: Research
Research output
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Transmission of quantum-secured images
Johnson, S., Rarity, J. & Padgett, M., 21 May 2024, In: Scientific Reports. 14, 1, 7 p., 11579 .Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Citations (Scopus)15 Downloads (Pure) -
Fiber-based high-speed fringe projection profilometry
Johnson, S., Gee, H., Nwachi, F. & Mekhail, S. P., 31 Oct 2024, In: Optics and Laser Technology. 177, 6 p., 111173.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)5 Downloads (Pure)
Datasets
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Data for: "Transmission of quantum-secured images"
Johnson, S. (Creator), Rarity, J. (Creator) & Padgett, M. (Creator), University of Glasgow, 19 Jun 2024
DOI: 10.5525/gla.researchdata.1613
Dataset