Projects per year
Organisation profile
Profile Information
Please contact: Andrew Fish (andrew.fish@brighton.ac.uk) and Paul Haris (P.J.Harris@brigthon.ac.uk)
The Mathematical Sciences Research and Enterprise Group has a focus on the development and the application of mathematical techniques for solving real world problems, which necessitates connections with other disciplines. Our expertise covers numerical methods, discrete mathematics, topology, theoretical and applied statistics. We collaborate with many UK and international academic institutes (e.g. University of Liverpool, UK and University of Montepellier, France) and industrial partners (e.g. Hurstwood Park Neuroscience Centre and Southern Water, UK).
The main research themes are Computational Methods (CM), Discrete Mathematics (DM) and Statistics (S). CM focuses on numerical methods for problems in applied mathematics and engineering, with applications including modelling the sound field radiated from a loudspeaker and the formation and growth of cavities in the spinal cord. DM focuses on the development and application of discrete mathematical techniques, particularly applied within computer science, including applications to visual logics to assist human reasoning, information visualisation and diagram generation algorithms, efficient knot detection methods with biological applications. S interests range from theoretical probability to applied statistics and rigorous machine learning, including statistical methodologies for analysing big data, marginal regression models with correlated discrete response variables, theoretical analysis of online prediction models and applied topological data analysis methods.
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Collaborations and top research areas from the last five years
Profiles
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A biomimetic macromolecular platform for tissue healing and diagnostics at medical device interfaces: a personalised wound dressing model
Santin, M., Georgoulas, A., Harris, P., Crua, C., Sarker, D., Elsom, J., Sandeman, S., Forss, R., Redhead, L., Terrazzini, N., Saberianpour, S., Melotto, G., Hesketh, A. & Sinha, A.
1/06/22 → 31/03/28
Project: Research Councils / Government Depts.
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Digital Research & Innovation Value Accelerator (DRIVA)
Cham, K., Kennedy, H., Close, D., Belz, A., Song, R., Touloumis, A., Tsekouras, G., Christian, J., Figlioli, A. & Sinha, R.
1/07/18 → 31/01/21
Project: Grant
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Tensor product algorithms for quantum control problems
Savostyanov, D.
1/10/17 → 31/03/19
Project: Grant
Research output
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Evaluating Free Rides and Observational Advantages in Set Visualizations
Blake, A., Stapleton, G., Rodgers, P. & Touloumis, A., 15 Apr 2021, In: Journal of Logic, Language and Information. 30, 3, p. 557-600 44 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Well-matchedness in Euler and Linear Diagrams
Stapleton, G., Rodgers, P., Touloumis, A. & Blake, A., 17 Aug 2020, Diagrammatic Representation and Inference - 11th International Conference, Diagrams 2020, Proceedings. Pietarinen, A-V., Chapman, P., Bosveld-de Smet, L., Giardino, V., Corter, J. & Linker, S. (eds.). Cham: Springer, p. 247-263 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12169 LNAI).Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review
Open AccessFile -
Hypothesis Testing for the Covariance Matrix in High-Dimensional Transposable Data with Kronecker Product Dependence Structure
Touloumis, A., Marioni, J. C. & Tavaré, S., 28 Oct 2019, In: Statistica Sinica. 31, 3, p. 1-38Research output: Contribution to journal › Article › peer-review
Open AccessFile
Activities
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Journal of Multivariate Analysis (Journal)
Anestis Touloumis (Reviewer)
2023 → …Activity: Publication peer-review and editorial work › Publication Peer-review
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