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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.

Recent advances in magneto-active polymers: Experiments, modelling and simulations (2025)
Book Chapter
Hossain, M., Bastola, A., Moreno-Mateos, M., Gonzalez, D., & Kadapa, C. (2025). Recent advances in magneto-active polymers: Experiments, modelling and simulations. In Constitutive Models for Rubbers XIII. Taylor and Francis

The last decade has witnessed the emergence of magneto-active polymers (MAPs) as one of the most advanced multi-functional soft composites. An MAP consists of a soft elastomeric matrix filled with micron- or nano-sized magnetisable rigid particles. T... Read More about Recent advances in magneto-active polymers: Experiments, modelling and simulations.

Use of deep geothermal energy to supply heat to a village in Scotland (2025)
Journal Article
Penman, D., Muhammad-Sukki, F., Hawa Abu-Bakar, S., Aini Bani, N., & Abubakar Mas’ud, A. (2025). Use of deep geothermal energy to supply heat to a village in Scotland. Interactions, 246, Article 39. https://doi.org/10.1007/s10751-025-02265-0

This paper explores the possibility of utilising geothermal energy in an existing district heat network in the Aberdeenshire village of Banchory to provide hot water through the creation of a hypothetical geothermal well. It considers a simulated dee... Read More about Use of deep geothermal energy to supply heat to a village in Scotland.

Generative AI and LLMs for Critical Infrastructure Protection: Evaluation Benchmarks, Agentic AI, Challenges, and Opportunities (2025)
Journal Article
Yigit, Y., Amine Ferrag, M., Ghanem, M. C., Sarker, I. H., Maglaras, L. A., Chrysoulas, C., Moradpoor, N., Tihanyi, N., & Janicke, H. (in press). Generative AI and LLMs for Critical Infrastructure Protection: Evaluation Benchmarks, Agentic AI, Challenges, and Opportunities. Sensors,

Critical National Infrastructures (CNIs)—including energy grids, water systems, 1 transportation networks, and communication frameworks—are essential to modern society 2 yet face escalating cybersecurity threats. This review paper comprehensively ana... Read More about Generative AI and LLMs for Critical Infrastructure Protection: Evaluation Benchmarks, Agentic AI, Challenges, and Opportunities.

Adversarial Attacks on Supervised Energy-Based Anomaly Detection in Clean Water Systems (2025)
Journal Article
Moradpoor, N., Abah, E., Robles-Durazno, A., & Maglaras, L. (2025). Adversarial Attacks on Supervised Energy-Based Anomaly Detection in Clean Water Systems. Electronics, 14(3), Article 639. https://doi.org/10.3390/electronics14030639

Critical National Infrastructure includes large networks such as telecommunications, 11 transportation, health services, police, nuclear power plants, and utilities like clean water, gas, and 12 electricity. The protection of these infrastructures is... Read More about Adversarial Attacks on Supervised Energy-Based Anomaly Detection in Clean Water Systems.

A Bespoke Framework for Proportionate BIM Implementation in SMEs (2025)
Presentation / Conference Contribution
Jaradat, S., Deakin, M., Strachan, D., & King, J. (2025, May). A Bespoke Framework for Proportionate BIM Implementation in SMEs. Presented at The 11th International Congress on Architectural Technology, Alicante, Spain

Experiences of early assessment to teach functional programming (2025)
Journal Article
Chapman, P. (2025). Experiences of early assessment to teach functional programming. Journal of Functional Programming, 35, Article e4. https://doi.org/10.1017/S0956796824000182

This paper reports on the experiences of using an early assessment intervention, specifically employing a Use-Modify-Create scaffold, to teach first-year undergraduate functional programming. The particular intervention that was trialled was the use... Read More about Experiences of early assessment to teach functional programming.

Vortex generators in heat sinks: Design, optimisation, applications and future trends (2025)
Journal Article
Ismail, M., Ali, A. M., & Costa Pereira, S.-C. (2025). Vortex generators in heat sinks: Design, optimisation, applications and future trends. Results in Engineering, 25, Article 104216. https://doi.org/10.1016/j.rineng.2025.104216

Vortex generators (VGs) have been identified as an exceedingly effective method in augmenting heat transfer in minichannels, a significant feature of cutting-edge heat sinks, heat exchangers and electronics cooling tools. This paper aims to discuss t... Read More about Vortex generators in heat sinks: Design, optimisation, applications and future trends.

Barriers to achieving net zero sustainability target for Edinburgh City: private property owners’ perspective (2025)
Presentation / Conference Contribution
Ikediashi, D., Walker, C., & Jaradat, S. (2024, September). Barriers to achieving net zero sustainability target for Edinburgh City: private property owners’ perspective. Presented at The Fourteenth International Conference on Construction in the 21st Century (CITC-14), Rio De Janeiro, Brazil

The recent successes made at the 28th Conference of Parties (COP) held in Dubai is a testament that governments globally are committed to combating climate change. United Kingdom is no different and its various devolved powers have made carbon reduct... Read More about Barriers to achieving net zero sustainability target for Edinburgh City: private property owners’ perspective.

Scalable Machine Learning Architectures for IPA-Driven Maintenance Task Allocation in Large-Scale Building Portfolios (2025)
Presentation / Conference Contribution
Huang, Z., Liu, X., Romdhani, I., & Shih, C.-S. (2024, August). Scalable Machine Learning Architectures for IPA-Driven Maintenance Task Allocation in Large-Scale Building Portfolios. Presented at The 7th International Conference on Information Science and Systems (ICISS 2024), Edinburgh, UK

This research presents a groundbreaking approach to Building Maintenance Management (BMM) by introducing an Intelligent Process Automation (IPA)-Driven Building Maintenance Management (IBMM) model. This innovative model harnesses the synergies betwee... Read More about Scalable Machine Learning Architectures for IPA-Driven Maintenance Task Allocation in Large-Scale Building Portfolios.

Dementia Friendly Buildings—Approach on Architectures (2025)
Journal Article
Ghamari, M., Suvish, Dehkordi, A. A., See, C. H., Sami, A., Yu, H., & Sundaram, S. (2025). Dementia Friendly Buildings—Approach on Architectures. Buildings, 15(3), Article 385. https://doi.org/10.3390/buildings15030385

Dementia's escalating incidence, coupled with its economic burden, highlights the need for architectural designs and forms that benefit people living with dementia. This research explores strategies and design principles that focus on establishing su... Read More about Dementia Friendly Buildings—Approach on Architectures.

Multi-Objective Dynamic System Model for the Optimal Sizing and Real-World Simulation of Grid-Connected Hybrid Photovoltaic-Hydrogen (PV-H2) Energy Systems (2025)
Journal Article
Atteya, A. I., Ali, D., & Sellami, N. (2025). Multi-Objective Dynamic System Model for the Optimal Sizing and Real-World Simulation of Grid-Connected Hybrid Photovoltaic-Hydrogen (PV-H2) Energy Systems. Energies, 18(3), Article 578. https://doi.org/10.3390/en18030578

Hybrid renewable-hydrogen energy systems offer a promising solution for meeting the globe’s energy transition and carbon neutrality goals. This paper presents a new multi-objective dynamic system model for the optimal sizing and simulation of hybrid... Read More about Multi-Objective Dynamic System Model for the Optimal Sizing and Real-World Simulation of Grid-Connected Hybrid Photovoltaic-Hydrogen (PV-H2) Energy Systems.

Internationalisation-at-home in Chinese Universities: Contradictions and Potential Changes (2025)
Presentation / Conference Contribution
Luo, L., Cruickshank, P., Chita, P., & Richards, K. (2024, November). Internationalisation-at-home in Chinese Universities: Contradictions and Potential Changes. Presented at The Barcelona Conference on Education (BCE2024), Barcelona, Spain

Introduction: Internationalisation at Home (IaH) is a new trend in Internationalisation of Higher Education (IoHE). Starting with China’s emergence as a major international education player, the study evaluates the student experience of IaH in two Ch... Read More about Internationalisation-at-home in Chinese Universities: Contradictions and Potential Changes.

Predicting diverse QoS metrics in IoT: An adaptive deep learning cross-layer approach for performance balancing (2025)
Journal Article
Eljakani, Y., Boulouz, A., & Thomson, C. (2025). Predicting diverse QoS metrics in IoT: An adaptive deep learning cross-layer approach for performance balancing. Ad hoc networks, 170, Article 103769. https://doi.org/10.1016/j.adhoc.2025.103769

Wireless sensor networks (WSNs) present dynamic challenges in various environments, often requiring careful balance between conflicting Quality of Service (QoS) metrics to optimize stack parameters and enhance network performance. This paper introduc... Read More about Predicting diverse QoS metrics in IoT: An adaptive deep learning cross-layer approach for performance balancing.

Enhancing Automotive Intrusion Detection Systems with Capability Hardware Enhanced RISC Instructions-Based Memory Protection (2025)
Journal Article
Kalutharage, C. S., Mohan, S., Liu, X., & Chrysoulas, C. (2025). Enhancing Automotive Intrusion Detection Systems with Capability Hardware Enhanced RISC Instructions-Based Memory Protection. Electronics, 14(3), 474. https://doi.org/10.3390/electronics14030474

The rapid integration of connected technologies in modern vehicles has introduced significant cybersecurity challenges, particularly in securing critical systems against advanced threats such as IP spoofing and rule manipulation. This study investiga... Read More about Enhancing Automotive Intrusion Detection Systems with Capability Hardware Enhanced RISC Instructions-Based Memory Protection.

Dynamic properties of a class of forced positive higher-order scalar difference equations: persistency, stability and convergence (2025)
Journal Article
Franco, D., Guiver, C., Logemann, H., & Perán, J. (in press). Dynamic properties of a class of forced positive higher-order scalar difference equations: persistency, stability and convergence. Journal of Difference Equations and Applications, https://doi.org/10.1080/10236198.2025.2461530

Persistency, stability and convergence properties are considered for a class of nonlinear, forced, positive, scalar higher-order difference equations. Sufficient conditions for these properties to hold are derived, broadly in terms of the interplay o... Read More about Dynamic properties of a class of forced positive higher-order scalar difference equations: persistency, stability and convergence.

Dynamic Caching Dependency-Aware Task Offloading in Mobile Edge Computing (2025)
Journal Article
Zhao, L., Zhao, Z., Hawbani, A., Liu, Z., Tan, Z., & Yu, K. (online). Dynamic Caching Dependency-Aware Task Offloading in Mobile Edge Computing. IEEE Transactions on Computers, https://doi.org/10.1109/TC.2025.3533091

Mobile Edge Computing (MEC) is a distributed computing paradigm that provides computing capabilities at the periphery of mobile cellular networks. This architecture empowers Mobile Users (MUs) to offload computation-intensive applications to large-sc... Read More about Dynamic Caching Dependency-Aware Task Offloading in Mobile Edge Computing.

A Systematic Review of the Blockchain Technology Security Challenges and Threats Classification (2025)
Presentation / Conference Contribution
Abubakar, M. A., Onyeashie, B. I., Wadhaj, I., Leimich, P., Ali, H., & Buchanan, W. J. (2024, November). A Systematic Review of the Blockchain Technology Security Challenges and Threats Classification. Presented at 6th International Conference on Blockchain Computing and Applications (BCCA 2024), Dubai, UAE

This study provides a comprehensive overview of blockchain technology, discusses its characteristics, and explains the hierarchical structure of the blockchain. Additionally, the study provides an in-depth analysis of various security threats and vul... Read More about A Systematic Review of the Blockchain Technology Security Challenges and Threats Classification.

Passivity theorems for input-to-state stability of forced Lur'e inclusions and equations, and consequent entrainment-type properties (2025)
Journal Article
Guiver, C. (online). 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, 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.