Skip to main content

Research Repository

Advanced Search

All Outputs (11301)

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.

'Making the Building Blocks Small' - the participative and capital-enhancing development of digital literacies in older adults (2025)
Presentation / Conference Contribution
Feeney, D., Ryan, F. V., Brazier, D., & Webster, G. (2025, June). 'Making the Building Blocks Small' - the participative and capital-enhancing development of digital literacies in older adults. Presented at CoLIS 2025: 12th Annual International Conference on Conceptions of Library and Information Science, University of Strathclyde, Glasgow

Older adults are disproportionately affected by deficits in digital literacy development and by present learning environments which are either difficult to access or not conducive to their specific needs. Participatory research frameworks offer compe... Read More about 'Making the Building Blocks Small' - the participative and capital-enhancing development of digital literacies in older adults.

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.

Molecular dynamics simulations and experimental measurements of density and viscosity of phase change material based on stearic acid with graphene nanoplatelets (2025)
Journal Article
Gonzalez, M. A., Tenorio, M. J., Bismilla, A. Z., D'Oliveira, E. J., Costa Pereira, S. C., & Sanchez-Vicente, Y. (2025). Molecular dynamics simulations and experimental measurements of density and viscosity of phase change material based on stearic acid with graphene nanoplatelets. Fluid Phase Equilibria, 593, Article 114361. https://doi.org/10.1016/j.fluid.2025.114361

Understanding the thermophysical properties of nano-enhanced phase change materials (NEPCMs) is crucial for developing thermal energy storage technologies. Thermal conductivity of NEPCMs is the most studied property, but investigations on density and... Read More about Molecular dynamics simulations and experimental measurements of density and viscosity of phase change material based on stearic acid with graphene nanoplatelets.

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 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.

Prescribed Performance-Based Switching Tracking Algorithm for DC–DC Buck Power Converter With Nonaffine Input and Stochastic Disturbance (2025)
Journal Article
Zhao, J., Zhang, B., Hu, Y., Yu, D., Sun, Z.-Y., & Chen, C. L. P. (online). Prescribed Performance-Based Switching Tracking Algorithm for DC–DC Buck Power Converter With Nonaffine Input and Stochastic Disturbance. IEEE Transactions on Systems, Man and Cybernetics: Systems, https://doi.org/10.1109/tsmc.2024.3515040

This article explores the tracking issue for dc–dc buck power converter with stochastic disturbance, specifically focusing on how output voltage tracks to a desired voltage in a finite-time when the load changes. Meanwhile, considering unmodeled dyna... Read More about Prescribed Performance-Based Switching Tracking Algorithm for DC–DC Buck Power Converter With Nonaffine Input and Stochastic Disturbance.

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.

2D metal-organic framework Cu3(HHTP)2 composite electrode for flexible energy storage applications (2025)
Journal Article
Prince, M., Kanathedath, J., Paul, F., Markapudi, P. R., Beg, M., Paterson, L., Desmulliez, M. P., Pillai, S. C., & Manjakkal, L. (2025). 2D metal-organic framework Cu3(HHTP)2 composite electrode for flexible energy storage applications. Journal of Power Sources, 631, Article 236214. https://doi.org/10.1016/j.jpowsour.2025.236214

Hydrothermally synthesized 2D metal-organic framework (MOF) Cu3(HHTP)2 was modified with carbon black (CB) and poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate) (PEDOT: PSS) to develop a flexible energy storage device. The efficiency of electro... Read More about 2D metal-organic framework Cu3(HHTP)2 composite electrode for flexible energy storage applications.

Exploring the relationship between listener receptivity and source of music recommendations (2025)
Presentation / Conference Contribution
Vargheese, J. P., Wilson, M., Stephen, K., Salzano, R., & Brazier, D. (2025, April). Exploring the relationship between listener receptivity and source of music recommendations. Presented at The 47th European Conference on Information Retrieval, Lucca, Tuscany

Music recommender systems are utilised by many music streaming platforms to provide new artist and song recommendations on a person-alised basis to listeners. By applying dynamic data modelling techniques, music recommender systems add to the current... Read More about Exploring the relationship between listener receptivity and source of music recommendations.

Establishing a Relationship between Particle size distribution & Thaw weakening Susceptibility in Soils (2025)
Journal Article
Leak, J., Dimitriadi, V., Barreto, D., Bernal-Sanchez, J., & Imre, E. (2025). Establishing a Relationship between Particle size distribution & Thaw weakening Susceptibility in Soils. Cold Regions Science and Technology, 231, Article 104423. https://doi.org/10.1016/j.coldregions.2025.104423

Susceptibility to frost action in soils is an important consideration in cold and seasonably cold regions. Whilst the particle size distribution (PSD) is commonly used to measure susceptibility to frost action, this method is typically seen as unreli... Read More about Establishing a Relationship between Particle size distribution & Thaw weakening Susceptibility in Soils.

Neurosymbolic learning and domain knowledge-driven explainable AI for enhanced IoT network attack detection and response (2025)
Journal Article
Kalutharage, C. S., Liu, X., & Chrysoulas, C. (2025). Neurosymbolic learning and domain knowledge-driven explainable AI for enhanced IoT network attack detection and response. Computers and Security, 151, Article 104318. https://doi.org/10.1016/j.cose.2025.104318

In the dynamic landscape of network security, where cyberattacks continuously evolve, robust and adaptive detection mechanisms are essential, particularly for safeguarding Internet of Things (IoT) networks. This paper introduces an advanced anomaly d... Read More about Neurosymbolic learning and domain knowledge-driven explainable AI for enhanced IoT network attack detection and response.