Computing Science and Mathematics - Division

People (9)

Dr Ahsan Adeel

Dr Ahsan Adeel

Assoc. Prof. in Artificial Intelligence, Computing Science and Mathematics - Division

Dr Vahid Akbari

Dr Vahid Akbari

Lect in Artificial Intelligence/Data Sci, Computing Science and Mathematics - Division

Mr Sandy Carmichael

Mr Sandy Carmichael

Tutor, Computing Science

Mr John Jabbo

Mr John Jabbo

Tutor, Computing Science and Mathematics - Division

Dr Ashley McClenaghan

Dr Ashley McClenaghan

Lecturer in Software Engineering, Computing Science and Mathematics - Division

Mr Craig Alexander Reid

Mr Craig Alexander Reid

PhD Researcher, Computing Science and Mathematics - Division

Mrs Teri Rumble

Mrs Teri Rumble

Tutor, Psychology

Mr Stefano Sarti

Mr Stefano Sarti

Tutor, Computing Science and Mathematics - Division

Dr Paulius Stankaitis

Dr Paulius Stankaitis

Lecturer in AI/Data Science, Computing Science and Mathematics - Division

Outputs (539)

Showing 17 of 539 — See all 539 outputs

Book Chapter

Meiklem R, Bouamrane M, Kingsmore D, Stevenson K, Dunlop M & Thomson P (2024) Patient-Centred, Technology-Based Interventions for High Treatment Burden: An Overview of the State of the Art. In: Bichel-Findlay J, Otero P, Scott P & Huesing E (eds.) MEDINFO 2023 — The Future Is Accessible. Vol 310 ed. Studies in Health Technology and Informatics, Volume 310: MEDINFO 2023 — The Future Is Accessible. Proceedings of the 19th World Congress on Medical and Health Informatics: IOS Press, pp. 529 - 533. https://doi.org/10.3233/shti231021


Book Chapter

Lapp L, Bouamrane M, Roper M, Kavanagh K & Schraag S (2024) Decision Support in Cardiac Surgery: Early Exploration of Requirements with Cardiac Anesthetists and Surgeons. In: Digital Health and Informatics Innovations for Sustainable Health Care Systems. Studies in Health Technology and Informatics, Volume 316. IOS Press, pp. 1827 - 1831. https://doi.org/10.3233/shti240786


Article

McLean KA, Sgrò A, Brown LR, Buijs LF, Mozolowski K, Daines L, Cresswell K, Potter MA, Bouamrane M & Harrison EM (2024) Implementation of digital remote postoperative monitoring in routine practice: a qualitative study of barriers and facilitators. BMC Medical Informatics and Decision Making, 24 (1), p. 14. https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-024-02670-5; https://doi.org/10.1186/s12911-024-02670-5


Conference Paper (published)

Graham K, Thomson S & Brownlee A (2023) Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality. In: GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. The Genetic and Evolutionary Computation Conference (GECCO) 2023, Lisbon, 15.07.2023-19.07.2023. New York: ACM, pp. 67-68.


Book Chapter

Brownlee A, Callan J, Even-Mendoza K, Geiger A, Hanna C, Petke J, Sarro F & Sobania D (2023) Enhancing Genetic Improvement Mutations Using Large Language Models. In: Arcaini P, Yue T & Fredericks EM (eds.) Search-Based Software Engineering: 15th International Symposium, SSBSE 2023, San Francisco, CA, USA, December 8, 2023, Proceedings. Lecture Notes in Computer Science. Cham, Switzerland: Springer. https://link.springer.com/book/9783031487958


Conference Paper (published)

Fyvie M, McCall JAW, Christie LA, Zavoianu A, Brownlee AEI & Ainslie R (2023) Explaining A Staff Rostering Problem By Mining Trajectory Variance Structures. In: TBC. Lecture Notes in Artificial Intelligence. AI-2023 Forty-third SGAI International Conference on Artificial Intelligence, Cambridge, 12.12.2023-14.12.2023. Cham, Switzerland: Springer.


Article

Heeney C, Bouamrane M, Malden S, Cresswell K, Williams R & Sheikh A (2023) Optimising ePrescribing in hospitals through the interoperability of systems and processes: a qualitative study in the UK, US, Norway and the Netherlands. BMC Medical Informatics and Decision Making, 23, Art. No.: 211. https://doi.org/10.1186/s12911-023-02316-y


Conference Paper (published)

Thomson S, Adair J, Brownlee A & van den Berg D (2023) From Fitness Landscapes to Explainable AI and Back. In: GECCO '23 Companion. Gecco '23: The Genetic and Evolutionary Computation Conference, Lisbon, 15.07.2023-19.07.2023. New York: ACM. https://doi.org/10.1145/3583133.3596395


See all 539 outputs

Projects (3)

EXPOWER: EXPOnential Analysis EmPOWERing Innovation
PI: Dr Wen-shin Lee
Funded by: European Commission (Horizon 2020)

Advancing exponential analysis: high-resolution information from sparse and regularly sampled data
PI: Dr Wen-shin Lee
Funded by: The Carnegie Trust

Women in Mathematics Day
PI: Dr Anna Kirpichnikova
Funded by: London Mathematical Society