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Role of Slag Replacement on Strength Enhancement of One-Part High-Calcium Fly Ash Geopolymer (2024)
Journal Article
Intarabut, D., Sukontasukkul, P., Phoo-ngernkham, T., Hanjitsuwan, S., Sata, V., Chumpol, P., Sae-Long, W., Zhang, H., & Chindaprasirt, P. (2024). Role of Slag Replacement on Strength Enhancement of One-Part High-Calcium Fly Ash Geopolymer. Open Civil Engineering Journal, 10, 252-270. https://doi.org/10.28991/CEJ-SP2024-010-013

This paper reports the effect of slag (SL) replacement and water-to-binder (w/b) ratio on properties of one-part geopolymer derived from high-calcium fly ash (FA) and sodium silicate powder (NP). The FA was replaced by SL at the rates of 20% and 40%,... Read More about Role of Slag Replacement on Strength Enhancement of One-Part High-Calcium Fly Ash Geopolymer.

Exploring Dataset Diversity for GenAI Image Tampering Localisation in Digital Forensics (2024)
Presentation / Conference Contribution
Thomson, M., McKeown, S., Macfarlane, R., & Leimich, P. (2025, April). Exploring Dataset Diversity for GenAI Image Tampering Localisation in Digital Forensics. Presented at The Digital Forensics Research Conference Europe (DFRWS EU 2025) Digital Forensics Doctoral Symposium (DFDS), Brno, Czech Republic

Generative Artificial Intelligence (GenAI) has significantly increased the sophistication and ease of image tampering techniques, posing challenges for digital forensics in identifying manipulated images. A lack of dataset standardisation hinders the... Read More about Exploring Dataset Diversity for GenAI Image Tampering Localisation in Digital Forensics.

Multi-Faceted Maximization of a Microgrid-Incorporated Hybrid Photovoltaic-Wind-Battery-Diesel System in Basra, Iraq (2024)
Presentation / Conference Contribution
Alsultan, A. M. T., Bani, N. A., Muhtazaruddin, M. N., & Muhammad-Sukki, F. (2024, October). Multi-Faceted Maximization of a Microgrid-Incorporated Hybrid Photovoltaic-Wind-Battery-Diesel System in Basra, Iraq. Presented at 2024 IEEE 12th Region 10 Humanitarian Technology Conference (R10-HTC), Kuala Lumpur, Malaysia

Hybrid Renewable Energy Sources (HRES) in microgrids present a cost-effective option for supplying power to remote areas. This research focuses on optimizing HRES systems for Base Transceiver stations in Basra, Iraq, by using the Multiobjective Impro... Read More about Multi-Faceted Maximization of a Microgrid-Incorporated Hybrid Photovoltaic-Wind-Battery-Diesel System in Basra, Iraq.

Hydrogen Production Rate of Temperature Controlled Proton Exchange Membrane Electrolyzer (2024)
Presentation / Conference Contribution
Hussnain, U., Bani, N. A., Muhtazaruddin, M. N., & Muhammad-Sukki, F. (2024, October). Hydrogen Production Rate of Temperature Controlled Proton Exchange Membrane Electrolyzer. Presented at 2024 IEEE 12th Region 10 Humanitarian Technology Conference (R10-HTC), Kuala Lumpur, Malaysia

This study investigates the hydrogen production through the Proton exchange membrane electrolyzer. It focuses on the hydrogen production rates, power, voltage and stack temperature to elaborate the operating dynamic behavior and efficiency of the sys... Read More about Hydrogen Production Rate of Temperature Controlled Proton Exchange Membrane Electrolyzer.

Moving Healthcare AI Support Systems for Visually Detectable Diseases to Constrained Devices (2024)
Journal Article
Watt, T., Chrysoulas, C., Barclay, P. J., El Boudani, B., & Kalliatakis, G. (2024). Moving Healthcare AI Support Systems for Visually Detectable Diseases to Constrained Devices. Applied Sciences, 14(24), Article 11474. https://doi.org/10.3390/app142411474

Image classification usually requires connectivity and access to the cloud, which is often limited in many parts of the world, including hard-to-reach rural areas. Tiny machine learning (tinyML) aims to solve this problem by hosting artificial intell... Read More about Moving Healthcare AI Support Systems for Visually Detectable Diseases to Constrained Devices.

Evaluation and Structural Optimisation of 0.6 m Impulse Turbine in Dolphin Wave Energy Conversion Device Through Computational Fluid Dynamics and Generative Design (2024)
Journal Article
Szatkowski, S., Gonzalez Delgado, D., Jaen-Sola, P., & Oterkus, E. (2024). Evaluation and Structural Optimisation of 0.6 m Impulse Turbine in Dolphin Wave Energy Conversion Device Through Computational Fluid Dynamics and Generative Design. Journal of marine science and engineering, 12(12), Article 2259. https://doi.org/10.3390/jmse12122259

In this paper, the performance of an adapted design of a 0.6 m impulse turbine in a new wave energy conversion device—the Dolphin device—is evaluated. This study is focused on developing an optimised structure in order to maximise the potential of th... Read More about Evaluation and Structural Optimisation of 0.6 m Impulse Turbine in Dolphin Wave Energy Conversion Device Through Computational Fluid Dynamics and Generative Design.

A comprehensive analysis of container vs prefabricated emergency shelters for post-disaster reconstruction in Damascus (2024)
Presentation / Conference Contribution
Khaddour, L., Obid, R., Yeboah, S., Osunsanmi, T., & Elhassnaoui, I. (2023, December). A comprehensive analysis of container vs prefabricated emergency shelters for post-disaster reconstruction in Damascus. Presented at 5th International Conference on Advanced Technologies and Humanity (ICATH’2023), Rabat, Morocco

The escalation of both natural and man-made disasters globally has led to profound challenges for nations grappling with the aftermath, particularly in the provision of post-disaster emergency shelters. These shelters hold critical significance in di... Read More about A comprehensive analysis of container vs prefabricated emergency shelters for post-disaster reconstruction in Damascus.

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.

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.

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.

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.

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.

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.

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.

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?.

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.