Publications

CO2 imaging of large-scale aero-engine exhausts and an introduction to multi species, in-situ imaging in mid-pressure combustors

Upadhyay Abhishek, Lengden Michael, Enemali Godwin, Stewart George, Johnstone Walter, Wilson David, Humphries Gordon Samuel, Benoy Thomas, Black John, Chigine Andrea, Fisher Edward, Zhang Rui, Liu Chang, Polydorides Nick, Tsekenis Alex, Wright Paul, Kliment Joshua, Nilsson Johan, Feng Yutong, Archilla Prat Victor, Rodriguez-Carmona Javier, Valdepenas Jesus-Sanchez, Beltran Marta, Polo Valentin, Armstrong Ian, Mauchline Iain S, Walsh Douglas, Johnson Mark, Bauldreay Joanna, McCann Hugh

FLAIR 2022 - Field Laser Applications in Industry and Research, pp. 107 (2022)

Imaging luminescence thermometry to 750 °C for the heat treatment of common engineering alloys and comparison with thermal imaging

Sutton Gavin, Korniliou Sofia, Andreu Aurik, Wilson David

International Journal of Thermophysics Vol 43 (2022)

https://doi.org/10.1007/s10765-021-02963-1

An embedded processing design for 192-channel 10-40 MS/s aero-engine optical tomography : progress and continued DAQ characterisation

Fisher E, Tsekenis S A, Yang Y, Chighine A, Polydorides N, McCann H, Wright P, Ozanyan K, Wilson D, Lengden M, Johnstone W

I2MTC 2018 - 2018 IEEE International Instrumentation and Measurement Technology Conference 2018 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2018, pp. 1-6 (2018)

https://doi.org/10.1109/I2MTC.2018.8409588

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Professional Activities

Trust in AI for NDT: Mitigating Risks by Building in Knowledge

Contributor

27/8/2025

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Projects

D3M-CoLab 2

Sherlock, Andrew (Principal Investigator) Bylya, Olga (Researcher) Reshetov, Aleksey (Researcher) Wilson, David (Fellow) Puthanveettil Madathil, Abhilash (Researcher) Vassiades, Constantinos (Researcher) Azim, Safi Sohail (Researcher) Kasarapu, Satya (Researcher)

The D3M_CoLab2 project is exploring the potential of data science to solve real-world manufacturing problems and boost productivity by upskilling local engineers. Project allows companies to safely explore ideas to drive forward data-driven transformation within their businesses by enabling them to replicate their physical and digital infrastructure without impacting daily business operations.
The project aims to share knowledge, resources, and expertise in data-driven manufacturing, as well as providing training and education to equip the workforce with the necessary skills to leverage data-driven technologies.

01-Jan-2025 - 19-Jan-2026

CTA AI in Manufacturing Programme

Sherlock, Andrew (Principal Investigator) Reshetov, Aleksey (Principal Investigator) Wilson, David (Fellow) Bylya, Olga (Fellow)

The CTA programme seeks to target, identify, down select Canadian technology solutions providers specialising in Artificial Intelligence (AI) software and mentor those companies in how to market and deploy their software solutions within the UK manufacturing sector.
NMIS and appropriate sub-contractors will assist in this process ensuring that the chosen companies have appropriate maturity in their solutions and seek to provide engagements to manufacturing organisations across various sectors i.e. automative, aerospace, renewable energy and etc.

31-Jan-2024 - 21-Jan-2025

Data-driven Manufacturing Colab (D3M Colab project)

Sherlock, Andrew (Principal Investigator) Reshetov, Aleksey (Researcher) Wilson, David (Fellow) Bylya, Olga (Researcher) Puthanveettil Madathil, Abhilash (Researcher) Vassiades, Constantinos (Researcher) Azim, Safi Sohail (Researcher) Kasarapu, Satya (Researcher)

The project aims to share knowledge, resources, and expertise in data-driven manufacturing, as well as providing training and education to equip the workforce with the necessary skills to leverage data-driven technologies. Project partners include Babcock, BAE systems, Infor, and Anaconda. The project aims to bridge the gap between manufacturing and data science by growing a cohort of individuals, embedded in industry, who can apply data science to solve industrial problems and then supporting them to deploy solutions.

03-Jan-2023 - 31-Jan-2025

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