Projects per year
Personal profile
Biography
Ashley Cusack is a Research Fellow within the Centre for Precision Technologies (CPT) and Engineering Control and Machine Performance (ECMPG) at the University of Huddersfield. Their research and teaching focus is intelligent manufacturing systems, Industrial Internet of Things, and Big Data.
Ashley holds a BEng (Hons) Electronic Engineering and Communication Systems from the University of Huddersfield. They also completed a PhD at the University of Huddersfield entitled “Applying Artificial Intelligence Planning to Optimise Heterogeneous Signal Processing for Surface and Dimensional Measurement Systems".
Currently, Ashley is working on several projects collaborating with academics from other universities and industrial partners as part of the Advanced Machinery and Productivity Institute (AMPI).
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Projects
- 1 Finished
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Development of electronics and software to enable an integrated solution for a novel force measurement feedback system for robot grippers.
Cusack, A. (PI) & Furness, T. (CoI)
1/12/24 → 31/08/25
Project: Research
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Analysis of the performance of LSTM-DNN models with the consideration of signal complexity in milling processes
Xie, H., Liu, M., Cusack, A., Li, G., Longstaff, A., Ding, S. & Pan, W., 28 Jul 2025, (E-pub ahead of print) In: Journal of Intelligent Manufacturing. 44 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Remote Temperature Estimations – Distinguishing Appropriate Remote Conventions and Strong Exchanging in Machine Tools to Escape Thermal Errors in Machining
Anik, A. A. M., Mian, N., Olabode, O. F., Cusack, A. & Ahmed, Q., 27 Jul 2024, Advances in Machinery, Materials Science and Engineering Application X: Proceedings of the 10th International Conference (MMSE 2024). Giorgetti, M., Agarwal, R. K., Chen, M. & Peng, H. (eds.). IOS Press, Vol. 58. p. 879-885 7 p. (Advances in Transdisciplinary Engineering; vol. 58).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access