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The occupational roles of nurses and midwives in the UK: an analysis of the Nursing and Midwifery Council-census England and Wales 2021 data linkage study (2024)
Presentation / Conference Contribution
Jamieson, M., Savinc, J., & Atherton, I. (2024, September). The occupational roles of nurses and midwives in the UK: an analysis of the Nursing and Midwifery Council-census England and Wales 2021 data linkage study. Presented at International Population Data Linkage Network (IPDLN) 2024, Chicago, IL, USA

RELEASE: Preliminary results from a novel data-linkage study into mental health and substance use service utilisation by people released from Scottish prisons (2024)
Presentation / Conference Contribution
Savinc, J., Kjellgren, R., Connell, C., & Hunt, K. (2024, September). RELEASE: Preliminary results from a novel data-linkage study into mental health and substance use service utilisation by people released from Scottish prisons. Presented at International Population Data Linkage Network (IPDLN) 2024, Chicago, IL, USA

Objectives
People released from prison are at increased risk of dying by suicide, drug overdose, and illnesses related to drugs and alcohol. International literature demonstrates patterns in health service access that imply service accessibility may... Read More about RELEASE: Preliminary results from a novel data-linkage study into mental health and substance use service utilisation by people released from Scottish prisons.

Grand Challenges and OR: Bangor, Dragons and Predicting Riots (2024)
Presentation / Conference Contribution
Weaver, M. (2024, September). Grand Challenges and OR: Bangor, Dragons and Predicting Riots. Presented at OR66 The Operational Research Society Annual Conference, Bangor, UK

Miles Weaver, Chair of Grand Challenges and OR, Associate Professor, Centre for Business Innovations and Sustainable Solutions, Edinburgh Napier University

Chris Roberts, Co-Founder of North Wales Dragons Community Football Teams and member of the... Read More about Grand Challenges and OR: Bangor, Dragons and Predicting Riots.

Transition-aware human activity recognition using an ensemble deep learning framework (2024)
Journal Article
Khan, S. I., Dawood, H., Khan, M., F. Issa, G., Hussain, A., Alnfiai, M. M., & Adnan, K. M. (2025). Transition-aware human activity recognition using an ensemble deep learning framework. Computers in Human Behavior, 162, Article 108435. https://doi.org/10.1016/j.chb.2024.108435

Understanding human activities in daily life is of utmost importance, especially in the context of personalized and adaptive ubiquitous learning. Although existing HAR systems perform well-identifying activities based on their inter-spatial and tempo... Read More about Transition-aware human activity recognition using an ensemble deep learning framework.

AI-Enhanced Digital Twin Framework for Cyber-Resilient 6G Internet-of-Vehicles Networks (2024)
Journal Article
Yigit, Y., Maglaras, L., Buchanan, W. J., Canberk, B., Shin, H., & Duong, T. Q. (2024). AI-Enhanced Digital Twin Framework for Cyber-Resilient 6G Internet-of-Vehicles Networks. IEEE Internet of Things, 11(22), 36168-36181. https://doi.org/10.1109/jiot.2024.3455089

Digital twin technology is crucial to the development of the sixth-generation (6G) Internet of Vehicles (IoV) as it allows the monitoring and assessment of the dynamic and complicated vehicular environment. However, 6G IoV networks have critical chal... Read More about AI-Enhanced Digital Twin Framework for Cyber-Resilient 6G Internet-of-Vehicles Networks.

Building a Good Digital Society from the Grassroots: Harnessing the Tradition of Community-led Initiatives in the Governance of Digital Services and Infrastructures (2024)
Report
Gerli, P. (2024). Building a Good Digital Society from the Grassroots: Harnessing the Tradition of Community-led Initiatives in the Governance of Digital Services and Infrastructures. British Academy

Over the past two decades, community broadband networks, platform cooperatives, and data cooperatives have emerged as promising models to counterbalance market distortions and power asymmetries in the governance of digital infrastructures, services a... Read More about Building a Good Digital Society from the Grassroots: Harnessing the Tradition of Community-led Initiatives in the Governance of Digital Services and Infrastructures.

Mixed displacement–pressure formulations and suitable finite elements for multimaterial problems with compressible and incompressible models (2024)
Journal Article
Kadapa, C. (2024). Mixed displacement–pressure formulations and suitable finite elements for multimaterial problems with compressible and incompressible models. Computer Methods in Applied Mechanics and Engineering, 432(Part A), Article 117354. https://doi.org/10.1016/j.cma.2024.117354

Multimaterial problems in linear and nonlinear elasticity are some of the least explored using mixed finite element formulations with higher-order elements. The fundamental issue in adapting the mixed displacement–pressure formulations with linear an... Read More about Mixed displacement–pressure formulations and suitable finite elements for multimaterial problems with compressible and incompressible models.

Towards sustainability: Examining financial, economic, and societal determinants of environmental degradation (2024)
Journal Article
El Khoury, R., Min Du, A., Nasrallah, N., Marashdeh, H., & Atayah, O. F. (2025). Towards sustainability: Examining financial, economic, and societal determinants of environmental degradation. Research in International Business and Finance, 73(Part A), Article 102557. https://doi.org/10.1016/j.ribaf.2024.102557

We examine the determinants of environmental degradation, focusing on MENA economies from 1991 to 2020, with a particular focus on the role of sectoral composition. Specifically, we assess the contributions of the industrial, manufa... Read More about Towards sustainability: Examining financial, economic, and societal determinants of environmental degradation.

Digi-Infrastructure: Digital Twin-Enabled Traffic Shaping with Low-Latency for 6G Smart Cities (2024)
Journal Article
Yigit, Y., Ahmadi, H., Yurdakul, G., Canberk, B., Hoang, T., & Duong, T. Q. (2024). Digi-Infrastructure: Digital Twin-Enabled Traffic Shaping with Low-Latency for 6G Smart Cities. IEEE Communications Standards Magazine, 8(3), 28-34. https://doi.org/10.1109/mcomstd.0002.2300027

Digital twin (DT)-based smart cities are anticipated to achieve seamless integration between physical and digital objects to satisfy an enormous number of users across all domains. Therefore, the infrastructure of 6G smart cities has become an import... Read More about Digi-Infrastructure: Digital Twin-Enabled Traffic Shaping with Low-Latency for 6G Smart Cities.

Reflections of a PhD mentor: Thesis Mentor Pilot Scheme 2024 (2024)
Presentation / Conference Contribution
Cameron, J., Naik, V., & Gourlay, E. (2024, September). Reflections of a PhD mentor: Thesis Mentor Pilot Scheme 2024. Presented at Vitae International Researcher Development Conference 2024, Online

Dr Jackie Cameron shares the experience of serving as a mentor on the 12-week pilot mentorship programme that aimed to improve the student experience and outcomes of PhD students at the right-up stage. Presenting at a workshop entitled 'Honey, We Shr... Read More about Reflections of a PhD mentor: Thesis Mentor Pilot Scheme 2024.

Federated learning‐driven dual blockchain for data sharing and reputation management in Internet of medical things (2024)
Journal Article
Gan, C., Xiao, X., Zhu, Q., Jain, D. K., Saini, A., & Hussain, A. (online). Federated learning‐driven dual blockchain for data sharing and reputation management in Internet of medical things. Expert Systems, https://doi.org/10.1111/exsy.13714

In the Internet of Medical Things (IoMT), the vulnerability of federated learning (FL) to single points of failure, low-quality nodes, and poisoning attacks necessitates innovative solutions. This article introduces a FL-driven dual-blockchain approa... Read More about Federated learning‐driven dual blockchain for data sharing and reputation management in Internet of medical things.

Throughput Maximization in RIS-Assisted NOMA-THz Communication Network (2024)
Journal Article
Do-Duy, T., Masaracchia, A., Canberk, B., Nguyen, L. D., & Duong, T. Q. (2024). Throughput Maximization in RIS-Assisted NOMA-THz Communication Network. IEEE Open Journal of the Communications Society, 5, 5706-5717. https://doi.org/10.1109/ojcoms.2024.3454255

In order to overcome spectrum scarcity and provide higher data rates, the sixth-generation (6G) wireless communication network is expected to perform data transmission using terahertz (THz) frequencies. However, the effective implementation of these... Read More about Throughput Maximization in RIS-Assisted NOMA-THz Communication Network.

The Growth of AI and Academic Misconduct: The Cost of Processing, Preparing and Investigating (2024)
Digital Artefact
Khaleel, F. (2024). The Growth of AI and Academic Misconduct: The Cost of Processing, Preparing and Investigating. [Recorded webinar]

In this Webinar from our 2024 AI and Academic Integrity event, Dr Fawad Khaleel (Head of Global Online, Business School of Edinburgh Napier University) covers the following questions around the cost of processing, preparing and investigating academic... Read More about The Growth of AI and Academic Misconduct: The Cost of Processing, Preparing and Investigating.

A Comprehensive Survey on Generative AI for Metaverse: Enabling Immersive Experience (2024)
Journal Article
Chamola, V., Sai, S., Bhargava, A., Sahu, A., Jiang, W., Xiong, Z., Niyato, D., & Hussain, A. (2024). A Comprehensive Survey on Generative AI for Metaverse: Enabling Immersive Experience. Cognitive Computation, 16, 3286–3315. https://doi.org/10.1007/s12559-024-10342-9

Generative Artificial Intelligence models are Artificial Intelligence models that generate new content based on a prompt or input. The output content can be in various forms, including text, images, and video. Metaverse refers to a virtual world wher... Read More about A Comprehensive Survey on Generative AI for Metaverse: Enabling Immersive Experience.

Active Disturbance Rejection Control of Wrist Tremor Suppression System With Additional High-Order Repetitive Control Component (2024)
Journal Article
Zhang, Z., Huo, B., Liu, Y., Dong, A., & Yu, H. (online). Active Disturbance Rejection Control of Wrist Tremor Suppression System With Additional High-Order Repetitive Control Component. IEEE/ASME Transactions on Mechatronics, https://doi.org/10.1109/tmech.2024.3450599

Intention tremor is an involuntary and rhythmic muscle contraction that occurs during purposeful limb movements. Functional electrical stimulation based repetitive control (RC) has proven to be an effective approach to reject periodic tremor disturba... Read More about Active Disturbance Rejection Control of Wrist Tremor Suppression System With Additional High-Order Repetitive Control Component.

The Climate Investment Case for the Livestock Sector (2024)
Report
Wheelhouse, N., Bisson, A., Chamberlin, R., Wisser, D., & MacLeod, M. (2024). The Climate Investment Case for the Livestock Sector. Global Research Alliance on Greenhouse Gases

Key Messages
• Livestock are vital for nutrition, food security, and livelihoods in low-and middle-income countries (LMICs), but climate change threatens these benefits.
• The livestock sector also presents an environmental challenge, contributing... Read More about The Climate Investment Case for the Livestock Sector.