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Outputs (3466)

The intersection of datafication and data justice in higher education (2025)
Presentation / Conference Contribution
Fabian, K. (2025, October). The intersection of datafication and data justice in higher education. Presented at Connecting Space, Data and Society: Interdisciplinary Pathways, London

There has been an increasing uptake of technology in the classroom, either for teaching or for classroom management purposes. Along with this uptake is the increasing datafication of education. Datafication is the process of rendering social and natu... Read More about The intersection of datafication and data justice in higher education.

Future-Proofing Business: Aligning Sustainability Goals with Workforce and Digital Transformation (2025)
Presentation / Conference Contribution
Cameron, J. (2025, April). Future-Proofing Business: Aligning Sustainability Goals with Workforce and Digital Transformation. Presented at Future-Proofing Business: Aligning Sustainability Goals with Workforce and Digital Transformation, Jakarta, Indonesia [and online]

This roundtable convenes leading academics and industry experts to discuss strategic alignment of digital transformation, sustainability imperatives, and workforce preparedness—particularly in light of emerging technologies and Gen Z’s workplace expe... Read More about Future-Proofing Business: Aligning Sustainability Goals with Workforce and Digital Transformation.

Determination of singular control in the optimal management of natural resources (2025)
Journal Article
Guiver, C., & Opmeer, M. R. (2025). Determination of singular control in the optimal management of natural resources. Applied Mathematics and Optimization, 91(3), https://doi.org/10.1007/s00245-025-10257-3

A method is presented to simplify the determination of solutions of certain optimal control problems which commonly arise in natural resource management and bioeconomic contexts. The method, termed the resource-value balance method, essentially lever... Read More about Determination of singular control in the optimal management of natural resources.

Post-Quantum Migration of the Tor Application (2025)
Journal Article
Berger, D., Lemoudden, M., & Buchanan, W. J. (2025). Post-Quantum Migration of the Tor Application. Journal of Cybersecurity and Privacy, 5(2), Article 13. https://doi.org/10.3390/jcp5020013

The efficiency of Shor's and Grover's algorithms and the advancement of quantum computers implies that the cryptography used until now to protect one's privacy is potentially vulnerable to retrospective decryption, also known as the harvest now, decr... Read More about Post-Quantum Migration of the Tor Application.

Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques (2025)
Journal Article
Konstantinou, A., Kasimatis, D., Buchanan, W. J., Ullah Jan, S., Ahmad, J., Politis, I., & Pitropakis, N. (2025). Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques. Machine Learning and Knowledge Extraction, 7(2), Article 31. https://doi.org/10.3390/make7020031

This paper explores the potential use of Large Language Models (LLMs), such as ChatGPT, Google Gemini, and Microsoft Copilot, in threat hunting, specifically focusing on Living off the Land (LotL) techniques. LotL methods allow threat actors to blend... Read More about Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques.

Officially cancelled but eternally remembered: The queering paradox of Chinese comedic influencers through multi-platform mediation (2025)
Journal Article
Chen, Z. T., & Cameron, J. (online). Officially cancelled but eternally remembered: The queering paradox of Chinese comedic influencers through multi-platform mediation. Celebrity Studies, https://doi.org/10.1080/19392397.2025.2484103

This article explores an alternative, comedic, lowbrow and queer(ed) group of Internet celebrities and influencers who developed a significant following amongst Chinese Internet vernacular cultures. These personalities sit at the intersection of stat... Read More about Officially cancelled but eternally remembered: The queering paradox of Chinese comedic influencers through multi-platform mediation.

Beyond Hamming Distance: Exploring Spatial Encoding in Perceptual Hashes (2025)
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.

NeFT-Net: N-window Extended Frequency Transformer for Rhythmic Motion Prediction (2025)
Journal Article
Ademola, A., Sinclair, D., Koniaris, B., Hannah, S., & Mitchell, K. (in press). NeFT-Net: N-window Extended Frequency Transformer for Rhythmic Motion Prediction. Computers and Graphics,

Advancements in prediction of human motion sequences are critical for enabling online virtual reality (VR) users to dance and move in ways that accurately mirror real-world actions, delivering a more immersive and connected experience. However, laten... Read More about NeFT-Net: N-window Extended Frequency Transformer for Rhythmic Motion Prediction.

HoloJig: Interactive Spoken Prompt Specified Generative AI Environments (2025)
Journal Article
Casas, L., Hannah, S., & Mitchell, K. (online). HoloJig: Interactive Spoken Prompt Specified Generative AI Environments. IEEE Computer Graphics and Applications, https://doi.org/10.1109/mcg.2025.3553780

HoloJig offers an interactive, speech-to-VR, virtual reality experience that generates diverse environments in real-time based on live spoken descriptions. Unlike traditional VR systems that rely on pre-built assets, HoloJig dynamically creates perso... Read More about HoloJig: Interactive Spoken Prompt Specified Generative AI Environments.

Passivity theorems for input-to-state stability of forced Lur’e inclusions and equations, and consequent entrainment-type properties (2025)
Journal Article
Guiver, C. (2025). Passivity theorems for input-to-state stability of forced Lur’e inclusions and equations, and consequent entrainment-type properties. ESAIM: Control, Optimisation and Calculus of Variations, 31, Article 22. https://doi.org/10.1051/cocv/2025013

A suite of input-to-state stability results are presented for a class of forced differential inclusions, so-called Lur’e inclusions. As a consequence, semi-global incremental input-to-state stability results for systems of forced Lur’e differential e... Read More about Passivity theorems for input-to-state stability of forced Lur’e inclusions and equations, and consequent entrainment-type properties.

GSFL: A Privacy-Preserving Grouping-Split Federated Learning Approach in Resource-Constrained Edge Computing Scenarios (2025)
Journal Article
Liu, Q., Wang, Z., Zhou, X., Zhang, Y., Liu, X., & Lin, H. (online). GSFL: A Privacy-Preserving Grouping-Split Federated Learning Approach in Resource-Constrained Edge Computing Scenarios. ACM transactions on autonomous and adaptive systems, https://doi.org/10.1145/3725221

The advancement of mobile multimedia communications, 5G, and Internet of Things (IoT) has led to the widespread use of edge devices, including sensors, smartphones, and wearables. This has generated in a large amount of distributed data, leading to n... Read More about GSFL: A Privacy-Preserving Grouping-Split Federated Learning Approach in Resource-Constrained Edge Computing Scenarios.

Wireless Rechargeable Sensor Networks: Energy Provisioning Technologies, Charging Scheduling Schemes, and Challenges (2025)
Journal Article
Abdel Aziz, S., Wang, X., Hawbani, A., Qureshi, . B., Alsamhi, S. H., Alabsi, A., Zhao, L., Al-Dubai, A., & Ismail, . A. (online). Wireless Rechargeable Sensor Networks: Energy Provisioning Technologies, Charging Scheduling Schemes, and Challenges. IEEE Transactions on Sustainable Computing, https://doi.org/10.1109/TSUSC.2025.3549414

Recently, a plethora of promising green energy provisioning technologies has been discussed in the orientation of prolonging the lifetime of energy-limited devices (e.g., sensor nodes). Wireless rechargeable sensor networks (WRSNs) have emerged among... Read More about Wireless Rechargeable Sensor Networks: Energy Provisioning Technologies, Charging Scheduling Schemes, and Challenges.

Multi-Agent Deep Reinforcement Learning-Based Cooperative Perception and Computation in VEC (2025)
Journal Article
Zhao, L., Li, L., Tan, Z., Hawbani, A., He, Q., & Liu, Z. (online). Multi-Agent Deep Reinforcement Learning-Based Cooperative Perception and Computation in VEC. IEEE Internet of Things, https://doi.org/10.1109/jiot.2025.3546915

Connected and autonomous vehicles (CAVs) are an important paradigm of intelligent transportation systems. Cooperative perception (CP) and vehicular edge computing (VEC) enhance CAVs’ perception capacity of the region of interest (RoI) while alleviati... Read More about Multi-Agent Deep Reinforcement Learning-Based Cooperative Perception and Computation in VEC.

Improving And Enhancing Scenario Planning: Futures Thinking (2025)
Book
Crawford, M. M., & Wright, G. (Eds.). (2025). Improving And Enhancing Scenario Planning: Futures Thinking. Edward Elgar Publishing

This book presents a contemporary view of the approaches and theories informing global scenario planning and foresight science. The collection of chapters details new and broader views of futures thinking, scenario methodologies, innovative developme... Read More about Improving And Enhancing Scenario Planning: Futures Thinking.

’Bots on the Ground vs Boots on the Ground: The Future of Robots in Terrestrial Ecological Surveying (2025)
Journal Article
White, P., Le Goff, L., Emery, L., Abrahams, C., Findlay, M., Cook, J., Macleod, K., Deacon, L., Reason, P., Stanhope, K., Wale, M., Hart, E., & Diele, K. (2025). ’Bots on the Ground vs Boots on the Ground: The Future of Robots in Terrestrial Ecological Surveying. In Practice (CIEEM), 27, 47-52

At the 2023 CIEEM Modernising Ecology conference, a robot greeted the attendees as they arrived. Was it a glimpse into the future? As with other technologies, robots have the potential to revolutionise ecological surveying, yet this comes with both o... Read More about ’Bots on the Ground vs Boots on the Ground: The Future of Robots in Terrestrial Ecological Surveying.

Upcycling Alum Sludge as a Reinforcement in PBAT Composites: A Sustainable Approach to Waste Valorisation (2025)
Journal Article
Sun, D., Henthorn, T., Popescu, C.-M., & Salehiyan, R. (2025). Upcycling Alum Sludge as a Reinforcement in PBAT Composites: A Sustainable Approach to Waste Valorisation. Applied Sciences, 15(5), Article 2591. https://doi.org/10.3390/app15052591

This study explores the valorisation of alum sludge, a byproduct of water treatment processes, as a sustainable reinforcement material in Poly(butylene adipate-co-terephthalate) (PBAT) composites. The research aims to address industrial waste challen... Read More about Upcycling Alum Sludge as a Reinforcement in PBAT Composites: A Sustainable Approach to Waste Valorisation.

Machine learning for animatronic development and optimization (2025)
Patent
Mitchell, K., Castellon, J., Bacher, M., McCrory, M., Stolarz, J., & Ayala, A. (2025). Machine learning for animatronic development and optimization. US12236168B2

Techniques for animatronic design are provided. A plurality of simulated meshes is generated using a physics simulation model, where the plurality of simulated meshes corresponds to a plurality of actuator configurations for an animatronic mechanical... Read More about Machine learning for animatronic development and optimization.