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All Outputs (2343)

Heterogeneous Mutual Knowledge Distillation for Wearable Human Activity Recognition (2025)
Journal Article
Xiao, Z., Xing, H., Qu, R., Li, H., Cheng, X., Xu, L., Feng, L., & Wan, Q. (2025). Heterogeneous Mutual Knowledge Distillation for Wearable Human Activity Recognition. IEEE Transactions on Neural Networks and Learning Systems, 1-15. https://doi.org/10.1109/tnnls.2025.3556317

Recently, numerous deep learning algorithms have addressed wearable human activity recognition (HAR), but they often struggle with efficient knowledge transfer to lightweight models for mobile devices. Knowledge distillation (KD) is a popular techniq... Read More about Heterogeneous Mutual Knowledge Distillation for Wearable Human Activity Recognition.

AI-Driven Pipeline for Analysis and Classification of Neurodegenerative Diseases from Cognitive, Imaging, and Clinical Biomarkers from the CogNID Study (2025)
Presentation / Conference Contribution
Purswani, A., Moemeni, A., & Hosseini, A. (2025, July). AI-Driven Pipeline for Analysis and Classification of Neurodegenerative Diseases from Cognitive, Imaging, and Clinical Biomarkers from the CogNID Study. Poster presented at Alzheimer’s Association International Conference, Toronto, Canada

This project presents an AI-driven diagnostic pipeline that integrates
multimodal data—MRI scans, cognitive scores, clinical biomarkers, and radiology reports to enhance early diagnostic accuracy. The system includes two key pipelines: (1) a volumet... Read More about AI-Driven Pipeline for Analysis and Classification of Neurodegenerative Diseases from Cognitive, Imaging, and Clinical Biomarkers from the CogNID Study.

NeRF and Niagara Particles System: Transforming classical music composition into interactive music VR experience (2025)
Presentation / Conference Contribution
Shvets, A. (2025, July). NeRF and Niagara Particles System: Transforming classical music composition into interactive music VR experience. Presented at EVA London 2025, London, UK

Generative AI has brought the need to redefine the forms of creative expression. The possibilities of AI-driven visual content creation allow contemporary composers to extend their creative abilities and become creators of audio-visual experiences. T... Read More about NeRF and Niagara Particles System: Transforming classical music composition into interactive music VR experience.

Challenges of Integrating Assistive Technologies and Robots with Embodied Intelligence in the Homes of Older People Living with Frailty (2025)
Journal Article
Al-Tamimi, A.-K., Hewitt, L., Cameron, D., Salem, M., & Moemeni, A. (2025). Challenges of Integrating Assistive Technologies and Robots with Embodied Intelligence in the Homes of Older People Living with Frailty. Applied Sciences, 15(15), Article 8415. https://doi.org/10.3390/app15158415

The rapid increase in the global population of older adults presents a significant challenge, but also a unique opportunity to leverage technological advancements for promoting independent living and well-being. This study introduces the CIREI framew... Read More about Challenges of Integrating Assistive Technologies and Robots with Embodied Intelligence in the Homes of Older People Living with Frailty.

Embedding RRI in competitive environments: stakeholders, structures, and systemic tensions (2025)
Journal Article
Alday, E. I., Arthur, K. N. A., Blok, V., Garst, J., Owen, R., & Stahl, B. C. (2025). Embedding RRI in competitive environments: stakeholders, structures, and systemic tensions. Journal of Responsible Innovation, 12(1), https://doi.org/10.1080/23299460.2025.2529047

This editorial introduces a special issue examining whether and to what extent Responsible Research and Innovation (RRI) principles can take root within organisations operating in competitive environments. Drawing on Brecht's ‘food first and then mor... Read More about Embedding RRI in competitive environments: stakeholders, structures, and systemic tensions.

A Data-driven Approach for Genetic Prediction of Alzheimer's Diseases when Polygenic RiskScores Fail to account AD's Genetic Complexity (2025)
Presentation / Conference Contribution
Purswani, A., Goddard, T., Brookes, K. J., Rajamani, A., & Moemeni, A. (2025, July). A Data-driven Approach for Genetic Prediction of Alzheimer's Diseases when Polygenic RiskScores Fail to account AD's Genetic Complexity. Poster presented at Alzheimer’s Association International Conference , Toronto, Canada

This study addresses the challenge of accurately diagnosing Alzheimer's disease (AD) by identifying potential genetic biomarkers, aiming to improve early detection and analyse its complex pathogenesis. Traditional genetic prediction methods such as P... Read More about A Data-driven Approach for Genetic Prediction of Alzheimer's Diseases when Polygenic RiskScores Fail to account AD's Genetic Complexity.

Responsible and adaptive robots in care home settings: an implementation framework analysis of a workshop with public and professionals (2025)
Journal Article
Boudouraki, A., Waheed, M., Mestre, R., Landowska, A., Georgara, A., Deshmukh, J., Singh, L., Abioye, A. O., Tan, N., Tuyen, V., Dong, Y., Ao, S., Price, D., Fischer, J., & Gomez Bergin, A. (2025). Responsible and adaptive robots in care home settings: an implementation framework analysis of a workshop with public and professionals. Frontiers in Robotics and AI, 12, Article 1610329. https://doi.org/10.3389/frobt.2025.1610329

As populations grow, research looks to emerging adaptive technologies for the urgent challenge in providing suitable care for older adults. Drawing on implementation science, we conducted a holistic examination looking at broader, contextual factors... Read More about Responsible and adaptive robots in care home settings: an implementation framework analysis of a workshop with public and professionals.

Ensemble Foreground Management for Unsupervised Object Discovery (2025)
Presentation / Conference Contribution
Wu, Z., Moemeni, A., & Caleb-Solly, P. (2025, October). Ensemble Foreground Management for Unsupervised Object Discovery. Presented at International Conference on Computer Vision ICCV 2025, Honolulu, Hawai'i

Unsupervised object discovery (UOD) aims to detect and segment objects in 2D images without handcrafted anno- tations. Recent progress in self-supervised representation learning [9, 66] has led to some success in UOD algo- rithms [21, 53, 69]. Howeve... Read More about Ensemble Foreground Management for Unsupervised Object Discovery.

Accelerated brain ageing during the COVID-19 pandemic (2025)
Journal Article
Mohammadi-Nejad, A.-R., Craig, M., Cox, E., Chen, X., Jenkins, R. G., Francis, S., Sotiropoulos, S. N., & Auer, D. P. (2025). Accelerated brain ageing during the COVID-19 pandemic. Nature Communications, 16, Article 6411. https://doi.org/10.1038/s41467-025-61033-4

Abstract
The impact of SARS-CoV-2 and the COVID-19 pandemic on brain health is recognised, yet specific effects remain understudied. We investigate the pandemic’s impact on brain ageing using longitudinal neuroimaging data from the UK Biobank. Brain... Read More about Accelerated brain ageing during the COVID-19 pandemic.

Substitution without copy and paste (2025)
Presentation / Conference Contribution
Altenkirch, T., Burke, N., & Wadler, P. (2025, July). Substitution without copy and paste. Presented at Logical Frameworks and Meta-Languages: Theory and Practice (LFMTP 25), Birmingham, UK

Defining substitution for a language with binders like the simply typed $\lambda$-calculus requires repetition, defining substitution and renaming separately. To verify the categorical properties of this calculus, we must repeat the same argument man... Read More about Substitution without copy and paste.

Analyzing Gait Adaptation with Hemiplegia Simulation Suits (2025)
Presentation / Conference Contribution
Chen, J., Clos, J., Price, D., & Caleb-Solly, P. (2025, July). Analyzing Gait Adaptation with Hemiplegia Simulation Suits. Presented at EMBC 2025, Copenhagen, Denmark

To advance the development of assistive and rehabilitation robots, it is essential to conduct experiments early in the design cycle. However, testing early prototypes directly with users can pose safety risks. To address this, we explore the use of c... Read More about Analyzing Gait Adaptation with Hemiplegia Simulation Suits.

The Future of Professional Ethics in Computing (2025)
Journal Article
Stahl, B. C., & Winter, S. (2025). The Future of Professional Ethics in Computing. Communications of the ACM, https://doi.org/10.1145/3722550

A commitment to the public good is at the core of all professions. This is reflected in the principles and practices of the ACM and prominently displayed in the ACM code of ethics and professional conduct. In this opinion piece, which marks the trans... Read More about The Future of Professional Ethics in Computing.

Towards More Flexible Fuzzy Membership Functions: Learning from Data (2025)
Presentation / Conference Contribution
Abbasov, F., Chen, C., & Garibaldi, J. M. (2025, July). Towards More Flexible Fuzzy Membership Functions: Learning from Data. Presented at 2025 IEEE International Conference on Fuzzy Systems, Reims, France

Fuzzy systems are widely recognised for their ability to model uncertainty and linguistic knowledge, but their effectiveness often depends on the choice of membership functions. Traditional approaches have relied on membership functions with predefin... Read More about Towards More Flexible Fuzzy Membership Functions: Learning from Data.

Elmo: An Embodied Conversational Assistant For Community Repair Cafés (2025)
Presentation / Conference Contribution
Castle-Green, T., Castle-Green, S., Lindley, J., Sailaja, N., & Lechelt, S. (2025, July). Elmo: An Embodied Conversational Assistant For Community Repair Cafés. Presented at 7th ACM Conference on Conversational User Interfaces (CUI 25), Waterloo ON Canada

Repair cafés provide a community service that supports and empowers item ‘Bringers’ to reinstate traditional values of repair in order to reduce climate impacts of waste. In this paper, we report on a pilot study exploring the use of Elmo (an embodie... Read More about Elmo: An Embodied Conversational Assistant For Community Repair Cafés.

Playing with Telepresence Robots for Design Speculation (2025)
Presentation / Conference Contribution
Avila, J. M., Boudouraki, A., Cameron, H., Reyes Cruz, G., Spors, V., Turmo Vidal, L., Windlin, C., Elmimouni, H., Rode, J. A., & Read, J. C. (2025, July). Playing with Telepresence Robots for Design Speculation. Presented at ACM Designing Interactive Systems Conference (DIS) 2025, Funchal, Madeira, Portugal

This workshop explores how telepresence robots can be used for playful design speculation, leveraging their inherent asymmetries to create engaging and innovative experiences. By focusing on playfulness instead of purely utilitarian applications this... Read More about Playing with Telepresence Robots for Design Speculation.

Directed Perturbations for Efficient Learning of Surrogate Losses (2025)
Presentation / Conference Contribution
Cargan, T. R., Landa-Silva, D., & Triguero, I. (2025, June). Directed Perturbations for Efficient Learning of Surrogate Losses. Presented at International Joint Conference on Neural Networks (IJCNN 2025), Rome, Italy

Decision-Focused Learning (DFL) is a paradigm to learn neural network-based predictive models tailored to a specific optimisation problem. A key challenge for DFL methods lies in the non-differentiable nature of most optimisation problems. Recent sol... Read More about Directed Perturbations for Efficient Learning of Surrogate Losses.

Bridging Context and Culture: Designing Cross-Cultural Solutions for Type 2 Diabetes Care in Nigeria (2025)
Presentation / Conference Contribution
Arueyingho, O., Ann O'Kane, A., Marshall, P., Sydney Aprioku, J., Webb, H., & Shivam, R. (2025, July). Bridging Context and Culture: Designing Cross-Cultural Solutions for Type 2 Diabetes Care in Nigeria. Presented at ACM Designing Interactive Systems Conference (DIS) 2025, Madeira, Portugal

Culturally sensitive design is crucial for developing inclusive technologies, particularly in resource-constrained settings. However, such approaches often oversimplify culture and face challenges in cross-cultural relevance. This study addresses the... Read More about Bridging Context and Culture: Designing Cross-Cultural Solutions for Type 2 Diabetes Care in Nigeria.

CFFormer: Cross CNN-Transformer channel attention and spatial feature fusion for improved segmentation of heterogeneous medical images (2025)
Journal Article
Li, J., Xu, Q., He, X., Liu, Z., Zhang, D., Wang, R., Qu, R., & Qiu, G. (2026). CFFormer: Cross CNN-Transformer channel attention and spatial feature fusion for improved segmentation of heterogeneous medical images. Expert Systems with Applications, 295, Article 128835. https://doi.org/10.1016/j.eswa.2025.128835

Medical image segmentation plays an important role in computer-aided diagnosis. Existing methods mainly utilize spatial attention to highlight the region of interest. However, due to limitations of medical imaging devices, medical images exhibit sign... Read More about CFFormer: Cross CNN-Transformer channel attention and spatial feature fusion for improved segmentation of heterogeneous medical images.

Applying cross-modal plasticity principles in auditory training applications (2025)
Journal Article
Huang, Q., Stawarz, K., Zhao, L., Yang, S., Xie, W., Song, F., & Liu, H. (2025). Applying cross-modal plasticity principles in auditory training applications. International Journal of Human-Computer Studies, 203, Article 103570. https://doi.org/10.1016/j.ijhcs.2025.103570

Research indicates that a significant number of individuals are in a suboptimal auditory health state, yet their auditory function can potentially be improved through auditory training. To raise awareness of auditory health issues, auditory training... Read More about Applying cross-modal plasticity principles in auditory training applications.