School of Computing, Data and Mathematical Sciences

Article

Redefining Elderly Care with Agentic AI: Challenges and Opportunities

Khalil RA, Ahmad K & Ali H (2026) Redefining Elderly Care with Agentic AI: Challenges and Opportunities. IEEE Open Journal of the Computer Society, pp. 326-342. https://doi.org/10.1109/ojcs.2026.3650842

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Conference Paper (published)

Formalising Trust as Reduced Monitoring in Human-AI Interaction

Perret C, Han TA, Fernandez Domingos E, Cimpeanu T & Powers ST (2026) Formalising Trust as Reduced Monitoring in Human-AI Interaction. In: Proceedings of the Fifth International Conference on Hybrid Human-Machine Intelligence. Fifth International Conference on Hybrid Human-Machine Intelligence, Brussells, 08.07.2026-10.07.2026. IOS Press.

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Article

A Comprehensive Analysis of Adversarial Attacks against Spam Filters

Hotoğlu E, Sen S & Can B (2026) A Comprehensive Analysis of Adversarial Attacks against Spam Filters. Computers and Security, 171, Art. No.: 105066. https://doi.org/10.1016/j.cose.2026.105066

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Commentary

The case for model-informed vaccine development

PF Bai J, Beigmohammadi F, Craig M, Dalton M, Desikan R, Easlick T, Gazeau S, Heffernan J, Kirpichnikova A, Padmanabhan P, Sachs JR, Sher A, Skibinski D & Smith AM (2026) The case for model-informed vaccine development. Vaccine, 92, Art. No.: 128780. https://doi.org/10.1016/j.vaccine.2026.128780

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Article

Understanding ant colony optimization search through local optima networks

Rojas-Morales N, Montero E, Pérez L, Ochoa G & Riff MC (2026) Understanding ant colony optimization search through local optima networks. Applied Soft Computing, 201 (Part A), Art. No.: 115549. https://doi.org/10.1016/j.asoc.2026.115549

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Article

The Impact of Non-AKI eGFR Variability on CKD Progression in Individuals With Type 2 Diabetes and Preserved Kidney Function

Hapca S, Yang Q, Li S, McGurnaghan SJ, Blackbourn LAK, Pearson ER, Colhoun HM & Bell S (2026) The Impact of Non-AKI eGFR Variability on CKD Progression in Individuals With Type 2 Diabetes and Preserved Kidney Function. Kidney International Reports, 11 (9), p. 106667. https://doi.org/10.1016/j.ekir.2026.106667

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Conference Paper (published)

Bridging Learning Outcomes and Module Specifications: GenAI Framework for Curriculum Development in CS Education

Elawady M & Ali H (2026) Bridging Learning Outcomes and Module Specifications: GenAI Framework for Curriculum Development in CS Education. In: The UK and Ireland Computing Education Research (UKICER) conference. The UK and Ireland Computing Education Research (UKICER) conference, Cambridge, United Kingdom, 03.09.2026-04.09.2026. ACM. https://doi.org/10.1145/3830800.3830829

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Article

Preliminary evidence that greater usage of digital exercise and music resources relates to fewer incidents of distress among older care home residents.

Watt C, Connelly J, Hapca S & Whittaker A (2026) Preliminary evidence that greater usage of digital exercise and music resources relates to fewer incidents of distress among older care home residents.. Journal of Gerontological Nursing.

Article

Interpretable machine learning for shared feature identification and time series prediction

Gu Y, Zhang M, Li B & Meng Q (2026) Interpretable machine learning for shared feature identification and time series prediction. Journal of Computational Science, 99, Art. No.: 102936. https://doi.org/10.1016/j.jocs.2026.102936

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Article

Foundation Models in Biomedical Imaging: Turning Hype into Reality Corresponding Author

Muneer A, Zhang K, Hamdi I, Qureshi R, Waqas M, Fouad S, Ali H, Anwar SM & Wu J (2026) Foundation Models in Biomedical Imaging: Turning Hype into Reality Corresponding Author. Nature Biomedical Engineering, 10, pp. 1557-1575. https://doi.org/10.1038/s41551-026-01762-z

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Article

GCE: A Framework for Interpretable Nonlinear Hazard Modeling in Cardiac Sarcoma Survival Using SEER Data

Kareem MS, Amjad M, Aslam S, Rasool A, Jamil M & Ali H (2026) GCE: A Framework for Interpretable Nonlinear Hazard Modeling in Cardiac Sarcoma Survival Using SEER Data. Bioengineering, 13 (8), Art. No.: 891. https://doi.org/10.3390/bioengineering13080891

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Article

A meta-analysis of periodic and aperiodic electrophysiological features in Parkinson’s disease

Norouzi H, Ietswaart M, Adair J & Learmonth G (2026) A meta-analysis of periodic and aperiodic electrophysiological features in Parkinson’s disease. Brain Communications, 8 (5). https://doi.org/10.1093/braincomms/fcag329

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Conference Paper (published)

Optimizing Appliance Scheduling for Solar Energy Management Us-ing Metaheuristic Algorithms

Ahmed H, Brownlee AEI, Adair J & Powers ST (2026) Optimizing Appliance Scheduling for Solar Energy Management Us-ing Metaheuristic Algorithms. In: GECCO '26 Companion: Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference, San José, Costa Rica, 13.07.2026-17.07.2026. https://doi.org/10.1145/3795101.3805310

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Article

Disentangling trust from cooperation: Evolution of trust as reduced monitoring in social dilemmas

Perret C, Han TA, Fernández Domingos E, Cimpeanu T & Powers ST (2026) Disentangling trust from cooperation: Evolution of trust as reduced monitoring in social dilemmas. Chaos, Solitons & Fractals, 208 (2), Art. No.: 118130. https://doi.org/10.1016/j.chaos.2026.118130

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Conference Paper (published)

What Do AI Agents Actually Change? An Empirical Taxonomy of Mutation Patterns in Performance-Improving Pull Requests Anonymous Anonymous Institution

Dovhoshliubnyi l, Soroush N, Sami A & Brownlee A (2026) What Do AI Agents Actually Change? An Empirical Taxonomy of Mutation Patterns in Performance-Improving Pull Requests Anonymous Anonymous Institution. In: Search-Based Software Engineering. 18th Symposium on Search-Based Software Engineering 2026 (SSBSE 2026) Challenge Track, Montreal, Canada, 05.07.2026-06.07.2026. https://doi.org/10.1007/978-3-032-30699-9_12

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Article

Hybrid Scalable Scheduling Reservation Protocol for Industrial IoT Networks

Kumar K & Kolberg M (2026) Hybrid Scalable Scheduling Reservation Protocol for Industrial IoT Networks. IEEE Sensors Journal. https://doi.org/10.1109/jsen.2026.3713924

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Conference Paper (published)

An Explainable Estimation Model for Financial Time Series

Takahashi O, Cuyt A, O'Hare A & Lee W (2026) An Explainable Estimation Model for Financial Time Series. In: 21st International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems Short Paper Proceedings. The 21st International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2026), Sapienza University of Rome, Rome, Italy, 15.06.2026-19.06.2026, pp. 241-245.