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Advances in the use of hemp fibre in the construction/building industry (2024)
Book Chapter
Liu, C. H. J., D'Amico, B., & Pomponi, F. (in press). Advances in the use of hemp fibre in the construction/building industry. In Achieving sustainable cultivation of hemp. Burleigh Dodds Science Publishing

The embodied carbon of building materials is a significant contributor to greenhouse gas emissions. Hemp is widely recognized as the most used vegetal insulation materials due to its comparable mechanical properties and much better environmental perf... Read More about Advances in the use of hemp fibre in the construction/building industry.

Podcasting the archive: An evaluation of audience engagement with a narrative non-fiction podcast series (2024)
Journal Article
Ryan, B., Hall, H., Wilson, M., & McGregor, I. (2024). Podcasting the archive: An evaluation of audience engagement with a narrative non-fiction podcast series. Archives: The Journal of the British Records Association, 58(2), 123-153. https://doi.org/10.3828/archives.2024.3

The purpose of the empirical work discussed in this paper was to explore the theme of audience engagement with digitised archive data in different formats. A comparison is drawn between experiences of interacting with an archive presented as a narrat... Read More about Podcasting the archive: An evaluation of audience engagement with a narrative non-fiction podcast series.

An Optimised CNN Hardware Accelerator Applicable to IoT End Nodes for Disruptive Healthcare (2024)
Journal Article
Ghani, A., Aina, A., & Hwang See, C. (2024). An Optimised CNN Hardware Accelerator Applicable to IoT End Nodes for Disruptive Healthcare. IoT, 5(4), 901-921. https://doi.org/10.3390/iot5040041

In the evolving landscape of computer vision, the integration of machine learning algorithms with cutting-edge hardware platforms is increasingly pivotal, especially in the context of disruptive healthcare systems. This study introduces an optimized... Read More about An Optimised CNN Hardware Accelerator Applicable to IoT End Nodes for Disruptive Healthcare.

A True Random Number Generator Based On Race Hazard And Jitter Of Braided And Cross-Coupled Logic Gates Using FPGA (2024)
Journal Article
Ahmed, H. O., Kim, D., & Buchanan, B. (in press). A True Random Number Generator Based On Race Hazard And Jitter Of Braided And Cross-Coupled Logic Gates Using FPGA. IEEE Access, 12, 182943-182955. https://doi.org/10.1109/ACCESS.2024.3512419

In the contemporary digital landscape, security has become a vital element of our existence. The growing volume of sensitive information being stored and transmitted over networks necessitates the implementation of robust security measures. Cryptogra... Read More about A True Random Number Generator Based On Race Hazard And Jitter Of Braided And Cross-Coupled Logic Gates Using FPGA.

Activity theory analysis of training for workplace mentors in apprenticeship degrees (2024)
Presentation / Conference Contribution
Taylor-Smith, E., & Smith, S. (2024, December). Activity theory analysis of training for workplace mentors in apprenticeship degrees. Paper presented at International Conference of the Society of Research into Higher Education, Nottingham, UK

Apprenticeship degrees bring the radical possibility of higher education without debt. They also require taking learning off-campus and into the workplace, collaborating with employers on credit-bearing workplace learning, inclusion, and widening acc... Read More about Activity theory analysis of training for workplace mentors in apprenticeship degrees.

Resisting the gendered categorisation of Computing and Engineering (2024)
Presentation / Conference Contribution
Taylor-Smith, E., & Smith, S. (2024, December). Resisting the gendered categorisation of Computing and Engineering. Paper presented at International Conference of the Society of Research into Higher Education, Nottingham, UK

As information infrastructures increasingly shape decisions that affect us, especially through the undertow of artificial intelligence, it is essential that women and gender minorities are well-represented across computing and engineering. However, t... Read More about Resisting the gendered categorisation of Computing and Engineering.

Artificial intelligence enabled smart mask for speech recognition for future hearing devices (2024)
Journal Article
Hameed, H., Lubna, Usman, M., Kazim, J. U. R., Assaleh, K., Arshad, K., Hussain, A., Imran, M., & Abbasi, Q. H. (2024). Artificial intelligence enabled smart mask for speech recognition for future hearing devices. Scientific Reports, 14(1), Article 30112. https://doi.org/10.1038/s41598-024-81904-y

In recent years, Lip-reading has emerged as a significant research challenge. The aim is to recognise speech by analysing Lip movements. The majority of Lip-reading technologies are based on cameras and wearable devices. However, these technologies h... Read More about Artificial intelligence enabled smart mask for speech recognition for future hearing devices.

Academic Staff AI Literacy Development Through LLM Prompt Training (2024)
Book Chapter
Drumm, L., & Sami, A. (2024). Academic Staff AI Literacy Development Through LLM Prompt Training. In X. O’Dea, & D. Tsz Kit Ng (Eds.), Effective Practices in AI Literacy Education: Case Studies and Reflections (41-49). Emerald. https://doi.org/10.1108/978-1-83608-852-320241005

A foundation in artificial intelligence (AI) literacy among all academic staff is essential for supporting students’ AI literacy effectively. As tools like ChatGPT increasingly influence academic work, educators need to understand prompt engineering... Read More about Academic Staff AI Literacy Development Through LLM Prompt Training.

Rheological Behavior of Bitumen Modified by Synthesized Polyurethane Based on MDI–PPG Reactive Prepolymers (2024)
Journal Article
Xia, T., Xu, Y., Salehiyan, R., Wan, C., & McNally, T. (2025). Rheological Behavior of Bitumen Modified by Synthesized Polyurethane Based on MDI–PPG Reactive Prepolymers. Journal of Materials in Civil Engineering, 37(2), https://doi.org/10.1061/jmcee7.mteng-19012

Bitumen without modification is prone to suffer from damage under extreme temperature and traffic conditions, leading to distress such as rutting, fatigue cracking, and thermal cracking. Polyurethane-modified bitumen can effectively be prepared at lo... Read More about Rheological Behavior of Bitumen Modified by Synthesized Polyurethane Based on MDI–PPG Reactive Prepolymers.

Information Literacy within Scottish Public Libraries (2024)
Presentation / Conference Contribution
Feeney, D. (2024, December). Information Literacy within Scottish Public Libraries. Presented at Scottish Library and Information Council, Online

Presentation on behalf of CILIP's Information Literacy Group to the Scottish Library and Information Council's Public Library Strategy Implementation Group.

Are Foundation Models the Next-Generation Social Media Content Moderators? (2024)
Journal Article
Nadeem, M., Javed, L., Sohail, S. S., Cambria, E., & Hussain, A. (2024). Are Foundation Models the Next-Generation Social Media Content Moderators?. IEEE Intelligent Systems, 39(6), 70-80. https://doi.org/10.1109/mis.2024.3477109

Recent progress in artificial intelligence (AI) tools and systems has been significant, especially in their reasoning and efficiency. Notable examples include generative AI-based large language models (LLMs) like Generative Pre-trained Transformer 3.... Read More about Are Foundation Models the Next-Generation Social Media Content Moderators?.

Design and Optimization of a Half-Circular Ultra-Wideband Patch Antenna Using Genetic Algorithm (2024)
Journal Article
Ouacifi, M., Ferroudji, K., Chebbara, F., Amir, M., Lashab, M., & Hwang See, C. (2024). Design and Optimization of a Half-Circular Ultra-Wideband Patch Antenna Using Genetic Algorithm. International Journal of Electrical and Electronics Research, 12(4), 1273-1280

This research introduces an optimization design of an ultra-wideband (UWB) half-circular planar antenna using genetic algorithm. The optimization process is conducted using an Application Programming Interface (API) links two softwares; MATLAB enviro... Read More about Design and Optimization of a Half-Circular Ultra-Wideband Patch Antenna Using Genetic Algorithm.

How to improve the perceived health, comfort, and well-being of primary school teachers? A quantitative self-reported survey during the COVID-19 pandemic in Scotland (2024)
Journal Article
Bain-Reguis, N., Smith, A., Hollins-Martin, C., & Currie, J. (2024). How to improve the perceived health, comfort, and well-being of primary school teachers? A quantitative self-reported survey during the COVID-19 pandemic in Scotland. Science of the Total Environment, 957, Article 177808. https://doi.org/10.1016/j.scitotenv.2024.177808

Teachers are among the most stressed professionals, for whom the built environment has an influence. In addition, the COVID-19 pandemic has increased the pressure on schools, where enhanced ventilation is deemed essential to help reduce virus-laden p... Read More about How to improve the perceived health, comfort, and well-being of primary school teachers? A quantitative self-reported survey during the COVID-19 pandemic in Scotland.

Regularity and Compactness Properties of Integral Hankel Operators and Their Singular Vectors (2024)
Journal Article
Guiver, C. (2024). Regularity and Compactness Properties of Integral Hankel Operators and Their Singular Vectors. Complex Analysis and Operator Theory, 19, Article 6. https://doi.org/10.1007/s11785-024-01627-w

Integral Hankel operators on vector-valued $L^2(\mathbb{R}_+,U)$-function spaces are considered. Regularity (integrability) and compactness properties of the kernel are shown to give rise to quantifiable regularity and compactness properties of the H... Read More about Regularity and Compactness Properties of Integral Hankel Operators and Their Singular Vectors.

A Hybrid Semantics and Syntax-Based Graph Convolutional Network for Aspect-Level Sentiment Classification (2024)
Journal Article
Huang, C., Li, X., Du, Y., Dong, Z., Huang, D., Kumar Jain, D., & Hussain, A. (2025). A Hybrid Semantics and Syntax-Based Graph Convolutional Network for Aspect-Level Sentiment Classification. Cognitive Computation, 17(1), Article 16. https://doi.org/10.1007/s12559-024-10367-0

Aspect-level sentiment classification seeks to ascertain the sentiment polarities of individual aspects within a sentence. Most existing research in this field focuses on individually assessing the importance of contexts on individual aspects, disreg... Read More about A Hybrid Semantics and Syntax-Based Graph Convolutional Network for Aspect-Level Sentiment Classification.

Attention-Based Hybrid Deep Learning Model for Intrusion Detection in IIoT Networks (2024)
Journal Article
Ullah, S., Boulila, W., Koubaa, A., & Ahmad, J. (2024). Attention-Based Hybrid Deep Learning Model for Intrusion Detection in IIoT Networks. Procedia Computer Science, 246, 3323-3332. https://doi.org/10.1016/j.procs.2024.09.307

The integration of Industrial Internet of Things (IIoT) technology into the industrial sector has produced numerous significant advantages. However, the notable concern remains the absence of robust security and privacy measures in these interconnect... Read More about Attention-Based Hybrid Deep Learning Model for Intrusion Detection in IIoT Networks.

Evaluating Language Model Vulnerability to Poisoning Attacks in Low-Resource Settings (2024)
Journal Article
Plant, R., Giuffrida, M. V., Pitropakis, N., & Gkatzia, D. (2024). Evaluating Language Model Vulnerability to Poisoning Attacks in Low-Resource Settings. IEEE/ACM Transactions on Audio, Speech and Language Processing, 33, 54-67. https://doi.org/10.1109/taslp.2024.3507565

Pre-trained language models are a highly effective source of knowledge transfer for natural language processing tasks, as their development represents an investment of resources beyond the reach of most researchers and end users. The widespread avail... Read More about Evaluating Language Model Vulnerability to Poisoning Attacks in Low-Resource Settings.

Beyond Hamming Distance: Exploring Spatial Encoding in Perceptual Hashes (2024)
Presentation / Conference Contribution
McKeown, S. (2025, April). Beyond Hamming Distance: Exploring Spatial Encoding in Perceptual Hashes. Presented at DFRWS EU 2025, Brno, Czech Republic

Forensic analysts are often tasked with analysing large volumes of data in modern investigations, and frequently make use of hashing technologies to identify previously encountered images. Perceptual hashes, which seek to model the semantic (visual)... Read More about Beyond Hamming Distance: Exploring Spatial Encoding in Perceptual Hashes.

Volumetric Modular Construction research (2024)
Report
Brennan, J., Vokes, C., Massey, T., Duncheva, M., Plowas, W., Livingstone, A., Reid, A., Bros Williamson, J., & Hairstans, R. (2024). Volumetric Modular Construction research. Ministry of Housing, Communities & Local Government

Building on a pledge to support Modern Methods of Construction (MMC) in its Autumn Budget of 2017, the 2019 Conservative party manifesto reaffirmed the target of 300,000 homes a year by the mid-2020s and made explicit commitment to support MMC. The n... Read More about Volumetric Modular Construction research.