Lecturer in Mathematics, Computing Science
Lecturer in Data Science, Computing Science
Assoc. Prof. in Artificial Intelligence, Computing Science and Mathematics - Division
Lect in Artificial Intelligence/Data Sci, Computing Science and Mathematics - Division
Senior Lecturer in Computing Science, Computing Science and Mathematics - Division
Lecturer, Computing Science
Lecturer in Computing Science, Computing Science
Tutor, Computing Science
PhD Researcher, Computing Science and Mathematics - Division
Honorary Professor, Computing Science
PhD Researcher, Computing Science and Mathematics - Division
Student Experience Officer
Emeritus Professor, Computing Science
Emeritus Professor, Mathematics
Lecturer in Computing Science & Maths, Computing Science
Lecturer, Computing Science
Lecturer, Computing Science
Senior Lecturer, Mathematics
Tutor, Computing Science and Mathematics - Division
Teaching Fellow, Mathematics
Book Chapter
Introduction To Global Aquatic Food Security
Norman R & Crumlish M (2024) Introduction To Global Aquatic Food Security. In: Crumlish M & Norman R (eds.) Aquatic Food Security. 1 ed. Essex: 5M publishing. https://5mbooks.com/product/aquatic-food-security
Book Chapter
The role of intensification in global aquaculture production
Norman R & Subasinghe R (2024) The role of intensification in global aquaculture production. In: Crumlish M & Norman R (eds.) Aquatic Food Security. Essex: 5M Books. https://5mbooks.com/product/aquatic-food-security
Book Chapter
Horizon Scanning For Aquatic Food Security
Norman R & Crumlish M (2024) Horizon Scanning For Aquatic Food Security. In: Crumlish M & Norman R (eds.) Aquatic Food Security. 5m books, p. Essex. https://5mbooks.com/product/aquatic-food-security
Edited Book
Crumllish M & Norman R (eds.) (2024) Aquatic Food Security. 5M books. https://5mbooks.com/product/aquatic-food-security
Conference Proceeding
Prototypical Contrastive Network for Imbalanced Aerial Image Segmentation
Nogueira K, Maezano Faita-Pinheiro M, Ramos AP, Gonçalves WN, Marcato Junior J & Santos JAD (2023) Prototypical Contrastive Network for Imbalanced Aerial Image Segmentation. In: WACV 2024, 04.01.2024-08.01.2024. Piscataway, NJ, USA: IEEE.
Article
Johnston P, Nogueira K & Swingler K (2023) GMM-IL: Image Classification Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes. IEEE Access, 11, pp. 25492-25501. https://doi.org/10.1109/access.2023.3255795
Conference Proceeding
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.
Article
Expected goals in football: Improving model performance and demonstrating value
Mead J, O’Hare A & McMenemy P (2023) Expected goals in football: Improving model performance and demonstrating value. Muazu Musa R (Editor) PLOS ONE, 18 (4), Art. No.: e0282295. https://doi.org/10.1371/journal.pone.0282295
Article
A toy model of food production in a connected landscape
O'Hare A (2023) A toy model of food production in a connected landscape. Eftimie R (Editor) Frontiers in Applied Mathematics and Statistics, 9, Art. No.: 1058273. https://doi.org/10.3389/fams.2023.1058273
Conference Proceeding
Explaining A Staff Rostering Problem By Mining Trajectory Variance Structures
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
Text mining of veterinary forums for epidemiological surveillance supplementation
Munaf S, Swingler K, Brülisauer F, O’Hare A, Gunn G & Reeves A (2023) Text mining of veterinary forums for epidemiological surveillance supplementation. Social Network Analysis and Mining, 13 (1), Art. No.: 121 (2023). https://doi.org/10.1007/s13278-023-01131-7
Book Chapter
Enhancing Genetic Improvement Mutations Using Large Language Models
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 Proceeding
Evaluating Explanations for Software Patches Generated by Large Language Models
Sobania D, Geiger A, Callan J, Brownlee A, Hanna C, Moussa R, Zamorano López M, Petke J & Sarro F (2023) Evaluating Explanations for Software Patches Generated by Large Language Models. In: Symposium on Search-Based Software Engineering- Challenge Track, San Francisco, CA, USA, 08.12.2023-08.12.2023.
EXPOWER: EXPOnential Analysis EmPOWERing Innovation
PI: Dr Wen-shin Lee
Funded by: European Commission (Horizon 2020)
–
Discovery of clinical biomarkers for the prediction of delirium in older people admitted to the acute hospital
PI: Dr Simona Hapca
Funded by: Tenovus Scotland
–
Multimodal data analysis for monitoring invasive aquatic weeds in India
PI: Dr Savi Maharaj
Funded by: Royal Academy of Engineering
–
Integrated risk mapping and targetted snail control to support schistosomiasis elimination in Brazil and Cote d'Ivoire under future climate change
PI: Professor Rachel Norman
Funded by: Natural Environment Research Council
–
Advancing exponential analysis: high-resolution information from sparse and regularly sampled data
PI: Dr Wen-shin Lee
Funded by: The Carnegie Trust
–
EmFi - Emergency Finance
PI:
Funded by: Algorand Foundation
–
Scottish Mathematical Sciences Training Centre New Module Development
PI: Dr Anna Kirpichnikova
Funded by: Scottish Mathematical Sciences Training Centre
–
Developing a Theoretical understanding of non linearities in the food system and practical ideas to take advantage of them
PI: Professor Rachel Norman
Funded by: The Leverhulme Trust
–
Curriculum Development for Sustainable Seafood and Nutrition Security
PI: Dr Amaya Albalat
Funded by: European Commission (Horizon 2020)
–
Women in Mathematics Day
PI: Dr Anna Kirpichnikova
Funded by: London Mathematical Society
–
AirOpt - optimisation of airspace to save 2MT CO2 a year
PI: Dr Sandy Brownlee
Funded by: Innovate UK
–
Gender Imbalance in Digital Technology
PI:
Funded by: Skills Development Scotland Co Ltd
–
Innovation Voucher: Huli Route Matching
PI: Dr Sandy Brownlee
Funded by: Scottish Funding Council
–
How blockchain-based digitization of land records can boost financial inclusion in Bangladesh
PI:
Funded by: Innovate UK
–
Future Payment Systems: Data, Technology and Privacy after Covid.
PI:
Funded by: Engineering and Physical Sciences Research Council
–
Innovation Voucher: Mindstream connect
PI: Dr Sandy Brownlee
Funded by: Scottish Funding Council
–
INtelligent FOod Recognition and Monitoring for patient wellbeing
PI:
Funded by: Falcon Foodservice Equipment
–
Know Your Numbers Business and Personal Wealth Planner
PI: Dr Sandy Brownlee
Funded by: Scottish Funding Council
–
Airspace Optimisation Tool
PI: Dr Sandy Brownlee
Funded by: Scottish Funding Council
–
Towards grammar-aware operators for automatic improvement of software
PI: Dr Sandy Brownlee
Funded by: The Carnegie Trust
–