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Outputs (3461)

GenAI use in higher education: stakeholder perceptions and attitudes (2024)
Report
Kiezebrink, K., Preston, S., McIlwhan, R., Drumm, L., & Lafferty, N. (2024). GenAI use in higher education: stakeholder perceptions and attitudes. Advance HE

This project investigates the attitudes and perceptions of higher education students and staff, both academic and professional services, to the use of Generative Artificial Intelligence (GenAI) in higher education. The integration of GenAI in Higher... Read More about GenAI use in higher education: stakeholder perceptions and attitudes.

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.

Becoming Rhizome: Deleuze and Guattari’s Rhizome as Theory and Method (2024)
Book Chapter
Drumm, L. (2024). Becoming Rhizome: Deleuze and Guattari’s Rhizome as Theory and Method. In Theory and Method in Higher Education Research: Volume 10 (37-55). Emerald. https://doi.org/10.1108/S2056-375220240000010003

This chapter explores Deleuze and Guattari’s rhizome as a multifaceted approach within educational research, suggesting it as an alternative way of mapping complexities, limiting structures and messiness which may not always be surfaced in more tradi... Read More about Becoming Rhizome: Deleuze and Guattari’s Rhizome as Theory and Method.

The political economy of labour and technological disruptions in capitalism (2024)
Book Chapter
Papagiannaki, E. (2025). The political economy of labour and technological disruptions in capitalism. In J. MacLeavy, & F. H. Pitts (Eds.), The Handbook for the Future of Work (57-68). Routledge. https://doi.org/10.4324/9781003327561-8

This chapter examines the concept of the ‘future of work’ by exploring the different futures that scholars have imagined for the development of Fourth Industrial Revolution (4IR) technologies and their impact on labour. The 4IR discourse, as the next... Read More about The political economy of labour and technological disruptions in capitalism.

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.

Editorial: Moving Artificial Intelligence Scholarship: Navigating the AI Frontier in Higher Education (2024)
Journal Article
Vahed, A., Reis, C., Singh, S., & Drumm, L. (2024). Editorial: Moving Artificial Intelligence Scholarship: Navigating the AI Frontier in Higher Education. African Journal of Inter/Multidisciplinary Studies, 6(1), 1-3. https://doi.org/10.51415/ajims.v6i1.1719

The swift and pervasive rise of artificial intelligence (AI), particularly Generative AI (GenAI), is reshaping the educational landscape globally. As we navigate a future shaped by developments in AI, the need for critical engagement, ethical framewo... Read More about Editorial: Moving Artificial Intelligence Scholarship: Navigating the AI Frontier in Higher Education.

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.

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.

Thought Experiments in Design Ethics (2024)
Journal Article
Buwert, P., & Sinclair, M. (2024). Thought Experiments in Design Ethics. Temes de Disseny, 40, 54-73. https://doi.org/10.46467/tdd40.2024.54-73

How is the designer to approach questions of responsibility, obligation, or right and wrong in relation to their role in creating, sustaining and altering the complex worlds which we inhabit together? Every design decision stands as the first teeteri... Read More about Thought Experiments in Design Ethics.

A mixed passivity/small-gain theorem for Sobolev input-output stability (2024)
Journal Article
Guiver, C., Logemann, H., & Opmeer, M. R. (2024). A mixed passivity/small-gain theorem for Sobolev input-output stability. SIAM Journal on Control and Optimization, 62(6), 3042-3075. https://doi.org/10.1137/24M1643128

A stability theorem for the feedback connection of two (possibly infinite-dimensional) time-invariant linear systems is presented. The theorem is formulated in the frequency domain and is in the spirit of combined passivity/small-gain results. It pla... Read More about A mixed passivity/small-gain theorem for Sobolev input-output stability.

An Enhanced and Robust Data Publishing Scheme for Private and Useful 1:M Microdata (2024)
Journal Article
Rizwan, M., Hawbani, A., Xingfu, W., Anjum, A., Angin, P., Sever, Y., Chen, S., Zhao, L., & Al-Dubai, A. (online). An Enhanced and Robust Data Publishing Scheme for Private and Useful 1:M Microdata. IEEE Transactions on Big Data, https://doi.org/10.1109/TBDATA.2024.3495497

A data publishing deal conducted with anonymous microdata can preserve the privacy of people. However, anonymizing data with multiple records of an individual (1:M dataset) is still a challenging problem. After anonymizing the 1:M microdata, the vert... Read More about An Enhanced and Robust Data Publishing Scheme for Private and Useful 1:M Microdata.

CAST: Efficient Traffic Scenario Inpainting in Cellular Vehicle-to-Everything Systems (2024)
Journal Article
Zhao, L., Mao, C., Wan, S., Hawbani, A., Al-Dubai, A. Y., Min, G., & Zomaya, A. Y. (2025). CAST: Efficient Traffic Scenario Inpainting in Cellular Vehicle-to-Everything Systems. IEEE Transactions on Mobile Computing, 24(3), 2331-2345. https://doi.org/10.1109/tmc.2024.3492148

As a promising vehicular communication technology, Cellular Vehicle-to-Everything (C-V2X) is expected to ensure the safety and convenience of Intelligent Transportation Systems (ITS) by providing global road information. However, it is difficult to o... Read More about CAST: Efficient Traffic Scenario Inpainting in Cellular Vehicle-to-Everything Systems.

A critical evaluation of the factors that influence visitor engagement with UK slavery heritage museums: a blended passive symbolic netnographic study (2024)
Thesis
Roberts, S. K. R. A critical evaluation of the factors that influence visitor engagement with UK slavery heritage museums: a blended passive symbolic netnographic study. (Thesis). Edinburgh Napier University

There is a substantial body of literature in slavery heritage tourism research that is mainly supply-driven and has focused on the management, presentation, and interpretation of slavery heritage for tourism purposes. However, the demand side in slav... Read More about A critical evaluation of the factors that influence visitor engagement with UK slavery heritage museums: a blended passive symbolic netnographic study.

Hybrid Servicescapes in Tourism and Hospitality (2024)
Book Chapter
Urquhart, E. (2024). Hybrid Servicescapes in Tourism and Hospitality. In N. Stylos, R. Rahimi, & P. Robinson (Eds.), Contemporary Marketing Management for Tourism and Hospitality (99-132). Palgrave Macmillan. https://doi.org/10.1007/978-3-031-65049-9_5

Bitner (1992, p. 65) defined the servicescape as “all of the objective physical factors that can be controlled by the firm to enhance (or constrain) employee and customer actions.” These include a series of environmental dimensions, namely ambient co... Read More about Hybrid Servicescapes in Tourism and Hospitality.

High Intensity Radar Echo Extrapolation Based on Stacked Generative Structure (2024)
Presentation / Conference Contribution
Tao, S., Liu, Q., Zhang, Y., & Liu, X. (2024, July). High Intensity Radar Echo Extrapolation Based on Stacked Generative Structure. Presented at 2024 IEEE 24th International Conference on Software Quality, Reliability, and Security Companion (QRS-C), Cambridge, UK

In recent years, the phenomenon of severe convective disaster weather has increased significantly in the world. Due to the characteristics of small spatial scale, short occurrence period, great destructiveness and drastic changes, severe convective d... Read More about High Intensity Radar Echo Extrapolation Based on Stacked Generative Structure.

FedCST: Federated Learning on Heterogeneous Resource-constrained Devices Using Clustering and Split Training (2024)
Presentation / Conference Contribution
Wang, Z., Lin, H., Liu, Q., Zhang, Y., & Liu, X. (2024, July). FedCST: Federated Learning on Heterogeneous Resource-constrained Devices Using Clustering and Split Training. Presented at The 24th International Conference on Software Quality, Reliability, and Security Companion (QRS-C), Cambridge, UK

With the rapid development of 5G and Internet of Things (IoT) technologies, edge devices such as sensors, smartphones, and wearable devices have become increasingly prevalent. The massive amount of distributed data generated by these devices offers u... Read More about FedCST: Federated Learning on Heterogeneous Resource-constrained Devices Using Clustering and Split Training.

A New Improved Method of Recurrent Memory Perception for Radar Echo Extrapolation (2024)
Presentation / Conference Contribution
Ji, R., Liu, Q., Zhang, Y., & Liu, X. (2024, July). A New Improved Method of Recurrent Memory Perception for Radar Echo Extrapolation. Presented at 2024 IEEE 24th International Conference on Software Quality, Reliability, and Security Companion (QRS-C), Cambridge, United Kingdom

Precipitation forecasting has long been a prominent topic in meteorology, as accurate predictions of impending rainfall are crucial for daily life and travel planning. Currently, radar echo extrapolation serves as the primary method for precipitation... Read More about A New Improved Method of Recurrent Memory Perception for Radar Echo Extrapolation.

A Multi-UAV Cooperative Task Scheduling in Dynamic Environments: Throughput Maximization (2024)
Journal Article
Zhao, L., Li, S., Tan, Z., Hawbani, A., Timotheou, S., & Yu, K. (2025). A Multi-UAV Cooperative Task Scheduling in Dynamic Environments: Throughput Maximization. IEEE Transactions on Computers, 74(2), 442 - 454. https://doi.org/10.1109/tc.2024.3483636

Unmanned aerial vehicle (UAV) has been considered a promising technology for advancing terrestrial mobile computing in the dynamic environment. In this research field, throughput, the number of completed tasks and latency are critical evaluation indi... Read More about A Multi-UAV Cooperative Task Scheduling in Dynamic Environments: Throughput Maximization.