All Outputs (58)

Perceptually Aware Communication in High-Risk Environments: A Conceptual Framework (2025)
Report
McGregor, I. (2025). Perceptually Aware Communication in High-Risk Environments: A Conceptual Framework. Edinburgh Napier University

This paper presents a conceptual framework for perceptually optimised audio communication in high-risk and acoustically challenging environments. Drawing on principles from sound design, auditory ergonomics, and professional communication systems, th... Read More about Perceptually Aware Communication in High-Risk Environments: A Conceptual Framework.

Stethoscope 2.0: How Everyday Devices Could Help Doctors Listen Differently (2025)
Report
McGregor, I. (2025). Stethoscope 2.0: How Everyday Devices Could Help Doctors Listen Differently

Traditional diagnostic tools like the stethoscope have long helped clinicians detect signs of illness through direct contact and active listening. In an era of ubiquitous sensing, the diagnostic potential of devices already in common use, smartphones... Read More about Stethoscope 2.0: How Everyday Devices Could Help Doctors Listen Differently.

Stabilising Sound: A Perceptual Audio Framework for Balance Support Inspired by Vestibular Stimulation (2025)
Report
McGregor, I. (2025). Stabilising Sound: A Perceptual Audio Framework for Balance Support Inspired by Vestibular Stimulation. Edinburgh Napier University

This note outlines a proposal for a perceptual audio system that may help stabilise balance and reduce fall risk using low-frequency sound cues delivered through everyday listening devices. It is inspired by recent findings showing that 100 Hz audito... Read More about Stabilising Sound: A Perceptual Audio Framework for Balance Support Inspired by Vestibular Stimulation.

Evaluation of Privacy-Preserving Support Vector Machine (SVM) Learning Using Homomorphic Encryption (2025)
Journal Article
Buchanan, W. J., & Ali, H. (2025). Evaluation of Privacy-Preserving Support Vector Machine (SVM) Learning Using Homomorphic Encryption. Cryptography, 9(2), Article 33. https://doi.org/10.3390/cryptography9020033

The requirement for privacy-aware machine learning increases as we continue to use PII (personally identifiable information) within machine training. To overcome the existing privacy issues, we can apply fully homomorphic encryption (FHE) to encrypt... Read More about Evaluation of Privacy-Preserving Support Vector Machine (SVM) Learning Using Homomorphic Encryption.

Perceptually Adaptive Alarm Systems Using Doppler-Based Pitch Modulation (2025)
Report
McGregor, I. (2025). Perceptually Adaptive Alarm Systems Using Doppler-Based Pitch Modulation. Edinburgh Napier University

This technical note presents a novel alarm system design that uses Doppler-based pitch and amplitude modulation to help people better understand emergency situations through sound alone. By embedding intuitive rising and falling pitch cues into famil... Read More about Perceptually Adaptive Alarm Systems Using Doppler-Based Pitch Modulation.

Perceptual Calibration and Passive Adaptation in Under-Pillow Audio Systems for Sleep and Care Environments (2025)
Report
McGregor, I. (2025). Perceptual Calibration and Passive Adaptation in Under-Pillow Audio Systems for Sleep and Care Environments

This technical report outlines a perceptually grounded calibration model for under-pillow and near-field audio systems. The approach enables real-time tuning based on how sound is actually perceived through materials like foam and fabric. It supports... Read More about Perceptual Calibration and Passive Adaptation in Under-Pillow Audio Systems for Sleep and Care Environments.

Participatory Design for Positive Impact: Behind the Scenes of Three NLP Projects (2025)
Presentation / Conference Contribution
Wilson, M., Howcroft, D. M., Konstas, I., Gkatzia, D., & Abercrombie, G. (2025, July). Participatory Design for Positive Impact: Behind the Scenes of Three NLP Projects. Presented at ACL 2025 Workshop on NLP for Positive Impact (NLP4PI 2025), Vienna

Researchers in Natural Language Processing (NLP) are increasingly adopting participatory design (PD) principles to better achieve positive outcomes for stakeholders. This paper evaluates two PD perspectives proposed by Delgado et al. (2023) and Casel... Read More about Participatory Design for Positive Impact: Behind the Scenes of Three NLP Projects.

Perceptually Adaptive Speech Clarity System for Reverberant Environments (2025)
Report
McGregor, I. (2025). Perceptually Adaptive Speech Clarity System for Reverberant Environments. Not commissioned – self-initiated research and disclosure

This document outlines a perceptually adaptive audio system designed to improve the intelligibility of spoken announcements in highly reverberant environments. Using speech buffering, pacing modification, spectral shaping, and real-time feedback, the... Read More about Perceptually Adaptive Speech Clarity System for Reverberant Environments.

FedBT: Effective and Robust Federated Unlearning via Bad Teacher Distillation for Secure Internet of Things (2025)
Journal Article
Wang, F., Huo, J., Wang, W., Zhang, X., Liu, Y., Tan, Z., & Wang, C. (online). FedBT: Effective and Robust Federated Unlearning via Bad Teacher Distillation for Secure Internet of Things. IEEE Internet of Things Journal, https://doi.org/10.1109/JIOT.2025.3571432

Smart Internet of Things (IoT) devices generate vast, distributed data, and their limited computational and storage capacities complicate data protection. Federated Learning (FL) enables collaborative model training across clients, enhancing performa... Read More about FedBT: Effective and Robust Federated Unlearning via Bad Teacher Distillation for Secure Internet of Things.

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.

LEAGAN: A Decentralized Version-Control Framework for Upgradeable Smart Contracts (2025)
Journal Article
Kumar, G., Saha, R., Conti, M., & Buchanan, W. J. (online). LEAGAN: A Decentralized Version-Control Framework for Upgradeable Smart Contracts. IEEE Transactions on Services Computing, https://doi.org/10.1109/tsc.2025.3562323

Smart contracts are integral to decentralized systems like blockchains and enable the automation of processes through programmable conditions. However, their immutability, once deployed, poses challenges when addressing errors or bugs. Existing solut... Read More about LEAGAN: A Decentralized Version-Control Framework for Upgradeable Smart Contracts.

Barriers to the Adoption of Smart Building Technology in Developing Countries: An Empirical Survey (2025)
Journal Article
Ejidike, C. C., Mewomo, M. C., Olawumi, T. O., Wang, S., & Buniya, M. K. (2025). Barriers to the Adoption of Smart Building Technology in Developing Countries: An Empirical Survey. Journal of Construction Engineering and Management, 151(6), https://doi.org/10.1061/JCEMD4.COENG-15466

Smart building technology (SBT) has been a prominent practical and academic topic in the built environment due to adopting sustainable development and digitization to maximize energy efficiency, reduce CO2 emissions, and maximize thermal comfort. Wh... Read More about Barriers to the Adoption of Smart Building Technology in Developing Countries: An Empirical Survey.

Geotechnical seismic isolation technology with rubber- soil trenches for earthquake resilience of existing structures (2025)
Presentation / Conference Contribution
Bernal-Sanchez, J., McDougall, J., Barreto, D., Dimitriadi, V., Tsang, H., Pitilakis, D., Anastasiadis, A., & Leak, J. (2025, May). Geotechnical seismic isolation technology with rubber- soil trenches for earthquake resilience of existing structures. Presented at 2025 International Workshop in Engineering Research Infrastructures for European Synergies (ERIES-IW2025), Lisbon, Portugal

This study investigates the feasibility of using Rubber-Soil mixtures (RSm) trenches as a Geotechnical Seismic Isolation (GSI) technology to mitigate earthquake-induced ground motions and enhance the resilience of existing structures. While previous... Read More about Geotechnical seismic isolation technology with rubber- soil trenches for earthquake resilience of existing structures.

Balancing time equity and academic integrity: The paradox of deadline extensions in higher education (2025)
Presentation / Conference Contribution
Cameron, J., Gutu, M., & Kurtzke, S. (2025, April). Balancing time equity and academic integrity: The paradox of deadline extensions in higher education. Presented at Advance HE EDI Conference 2025: The sum of many parts: Embedding intersectionality in HE practice, Newcastle, UK

Higher education policies around deadline extensions seek to promote inclusivity yet may inadvertently create inequalities among student groups. This session examines this paradox through case study data, revealing which groups may benefit most from... Read More about Balancing time equity and academic integrity: The paradox of deadline extensions in higher education.

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.

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.

Skin Tones, the Microbiome, and Healthy Ageing: A Mixed Method Study (2025)
Presentation / Conference Contribution
Samuriwo, R., & Kauser, S. (2025, March). Skin Tones, the Microbiome, and Healthy Ageing: A Mixed Method Study. Presented at Skin Microbiome in Healthy Ageing (SMiHA) Network Conference, Liverpool, England

Harmful disparities exist in skin health and wound healing care which increase morbidity and mortality for people especially those with dark skin tones. This harmful care is largely caused by the gaps in skin research, resulting in limited wider know... Read More about Skin Tones, the Microbiome, and Healthy Ageing: A Mixed Method Study.

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 Journal, 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.