Mr William Davis


NameMr William Davis
Job titleGraduate Academic Assistant in Applied Computer Science
Research institute
Primary appointmentDesign Engineering & Mathematics
ORCIDhttps://orcid.org/0000-0002-7834-8758
Contact categoryAcademic staff (past)

Research outputs

Transforming smart factories: real-time optimisation of cyber-physical systems with digital twins

Manikandan, K., Madangopal, S., Davis, W., Prasad, R., Venkataraman, H., Trestian, R. and Shah, P. 2024. Transforming smart factories: real-time optimisation of cyber-physical systems with digital twins. Barolli, L. (ed.) The 19th International Conference on Broadband and Wireless Computing, Communication and Applications. San Benedetto del Tronto, Italy 13 - 15 Nov 2024 Cham Springer. pp. 223-234 https://doi.org/10.1007/978-3-031-76452-3_22

A game engine based digital twin framework enabling next-gen manufacturing

Davis, W. 2023. A game engine based digital twin framework enabling next-gen manufacturing. Masters thesis Middlesex University Science and Technology

An innovative blockchain-based traceability framework for industry 4.0 cyber-physical factory

Davis, W., Yaqoob, M., Bennett, L., Mihai, S., Hung, D., Trestian, R., Karamanoglu, M., Barn, B. and Nguyen, H. 2023. An innovative blockchain-based traceability framework for industry 4.0 cyber-physical factory. 2022 11th International Conference on Industrial Technology and Management. Oxford, United Kingdom 18 - 20 Feb 2022 New York, NY, USA Association for Computing Machinery (ACM). https://doi.org/10.1145/3588155.3588174

Digital twins: a survey on enabling technologies, challenges, trends and future prospects

Mihai, S., Yaqoob, M., Hung, D., Davis, W., Towakel, P., Raza, M., Karamanoglu, M., Barn, B., Shetve, D., Prasad, R., Venkataraman, H., Trestian, R. and Nguyen, H. 2022. Digital twins: a survey on enabling technologies, challenges, trends and future prospects. IEEE Communications Surveys and Tutorials. 24 (4), pp. 2255-2291. https://doi.org/10.1109/COMST.2022.3208773

A digital twin framework for predictive maintenance in industry 4.0

Mihai, S., Davis, W., Hung, D., Trestian, R., Karamanoglu, M., Barn, B., Prasad, R., Venkataraman, H. and Nguyen, H. 2021. A digital twin framework for predictive maintenance in industry 4.0. HPCS 2020: 18th Annual Meeting. Barcelona, Spain (Online Virtual Conference) 22 - 27 Mar 2021 IEEE.

A digital twin framework for Industry 4.0 enabling next-gen manufacturing

Raza, M., Kumar, P., Viet Hung, D., Davis, W., Nguyen, H. and Trestian, R. 2020. A digital twin framework for Industry 4.0 enabling next-gen manufacturing. International Conference on Industrial Technology and Management (ICITM 2020). Oxford, United Kingdom 11 - 13 Feb 2020 IEEE. pp. 73-77 https://doi.org/10.1109/ICITM48982.2020.9080395
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