Publications

Analysing spatio-temporal worker movement patterns : implications for safety and productivity in smart factories

Vasantha Gokula, Patel Hariketan, Hanson Jack, Corney Jonathon, El-Raoui Hanane, Sales Rachel, Quigley John, Kasarapu Satya Saravan, Sherlock Andrew

IFAC-PapersOnLine (2025)

Smarter facility layout design : leveraging worker localisation data to minimise travel time and alleviate congestion

Aslan Ayse, Vasantha Gokula, El Raoui Hanane, Quigley John, Hanson Jack, Corney Jonathan, Sherlock Andrew

International Journal of Production Research Vol 63, pp. 1326-1353 (2025)

https://doi.org/10.1080/00207543.2024.2374847

Safer and efficient factory by predicting worker trajectories using spatio-temporal graph attention networks

Sarvan Kumar Satya, Vasantha Gokula, Corney Jonathan, Hanson Jack, Quigley John, El Raoui Hanane, Thompson Nathan, Sherlock Andrew

ASME 2024 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference ASME 2024 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (2024)

https://doi.org/10.1115/DETC2024-143048

Safer and efficient assemblies : harnessing real time worker movements with digital twins

Sarvan Kumar Satya, Vasantha Gokula, Marzano Adelaide, Corney Jonathan, Hanson Jack, Quigley John, El Raoui Hanane, Thompson Nathan, Sherlock Andrew

21st International Conference on Manufacturing Research (2024)

Prototype pipeline modelling using interval scanning point clouds

Pečur Toa, Bosché Frédéric, Cerniauskas Gabrielis, Mill Frank, Sherlock Andrew, Yu Nan

Advances in Manufacturing (2024)

https://doi.org/10.1007/s40436-024-00515-y

Design of a serious game for safety in manufacturing industry using hybrid simulation modelling : towards eliciting risk preferences

El-Raoui Hanane, Quigley John, Aslan Ayse, Vasantha Gokula, Hanson Jack, Corney Jonathan, Sherlock Andrew

2023 Winter Simulation Conference (2023)

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Professional Activities

AI and workplace cultures: Scottish AI summit 2023

Participant

28/3/2023

Industry 4.0: Can AI Ethics be Embedded in the Innovation Lifecycle?

Organiser

9/5/2022

More professional activities

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

DIGF-CRAD-07206 Data-driven Manufacturing Colab - extension

Sherlock, Andrew (Principal Investigator)

01-Jan-2025 - 31-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

BAE Manufacturing Technologies Foresighting Study

Mehnen, Jorn (Principal Investigator) Oterkus, Erkan (Co-investigator) Sherlock, Andrew (Co-investigator)

01-Jan-2024 - 31-Jan-2024

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

DIGF-CRAD-06277: Stratellite - Space & Photonics Glasgow Impact Accelerator

Bomphray, Iain (Principal Investigator) Sherlock, Andrew (Co-investigator)

01-Jan-2023 - 31-Jan-2025

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