Mathematics Research Group

Mathematical Applications theme

Our academics apply mathematical methods to a diverse range of fields, including medicine, finance, biology (both animal and human), and physics.

Research carried out by this theme includes the analysis of animal movement data, cow tracking, animal social network analysis, fisheries modelling, high-dimensional problems, human crowd behaviour, network inference, mathematical modelling of the brain and of the spread of COVID-19, Chaos, soliton theory and nonlinear waves, dynamical systems and stability theory, pattern formation modelling population dynamics, tensor product decompositions.

Investment into the theme enabled an expansion in its scope, from a core base of expertise in analysis of animal movement data, animal social behaviour, dynamical systems and soliton theory, and network analysis to now include researchers who work at the forefront of the mathematical modelling of the brain, on network inference, mathematical modelling of the spread of COVID-19, high dimensional problems, and tensor product decompositions.

Theme members have received well over £2.5 million in grant funding across a number of major research projects, including funding from UK research councils (EPSRC, BBSRC, NERC), government (Irish Sea Change), industry (AXA), charities (Farm Animal Welfare Trust), as well as smaller sources of funding from academic learnt societies (British Ecological Society, London Mathematical Society), Second City HE Partnerships Travel Grant (British Council), Newton Mobility Grants and from Institut Henri Poincaré (Prof. Codling, Dr Antonopoulos).

Recent papers




A black and white cow with small tags on its ears.
Project: Cow tracking

We're combining low-cost wireless tracking devices with mathematical analysis tools to improve the health and welfare of cow herds.

Read more about this project