Welcome to Middlesex University's institutional repository for research material including: journal articles, conference papers, practice research, art works and exhibitions, books and book chapters, doctoral theses and datasets. The repository provides full text access where permitted, and full citation details where restrictions apply. Please contact the Research Support Team (repository@mdx.ac.uk) with any related queries.

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Latest additions

Empirical investigation into impact of IT adoption on supply chain agility in fast food sector in Pakistan
Qureshi, F., Ellahi, A., Javed, Y., Rehman, M. and Rehman, H.M. 2023. Empirical investigation into impact of IT adoption on supply chain agility in fast food sector in Pakistan. Cogent Business & Management. 10 (1). https://doi.org/10.1080/23311975.2023.2170516
Implementing a digital twin for a robotic platform to support large-scale coding classes
Heeney, M., Androutsopoulos, K. and Raimondi, F. 2024. Implementing a digital twin for a robotic platform to support large-scale coding classes. Santos, A.L. and Pinto-Albuquerque, M. (ed.) 5th International Computer Programming Education Conference. Lisbon, Portugal 27 - 28 Jun 2024 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH. https://doi.org/10.4230/oasics.icpec.2024.15
A novel key distribution for mobile patient authentication inspired by the federated learning concept and based on the Diffie–Hellman elliptic curve
AbuAlghanam, O., Alazzam, H., Almobaideen, W., Saadeh, M. and Saadeh, H. 2025. A novel key distribution for mobile patient authentication inspired by the federated learning concept and based on the Diffie–Hellman elliptic curve. Sensors. 25 (8), p. 2357. https://doi.org/10.3390/s25082357
Trusting in higher education: a multifaceted discussion of trust in and for higher education in Norway and the United Kingdom
Gibbs, P. and Maassen, P. (ed.) 2022. Trusting in higher education: a multifaceted discussion of trust in and for higher education in Norway and the United Kingdom. Springer.
Data collection in deep reinforcement learning-enhanced reconfigurable intelligent surface-assisted wireless networks
Ertas, I. and Yetgin, H. 2025. Data collection in deep reinforcement learning-enhanced reconfigurable intelligent surface-assisted wireless networks. Engineering Applications of Artificial Intelligence.