Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

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Group by: Publication Date | Item type | No Grouping
Jump to: 2020
Number of items: 4.

2020

Johnston, Lauren and Allen, Ruth and Hall-Barrientos, Pauline and Mason, Avril and Kazakidi, Asimina (2020) Computational haemodynamics in Turner syndrome patient-specific aortae with PC-MRI obtained boundary conditions. In: 23rd Annual Meeting Scottish Cardiovascular Forum 2020, 2020-02-01 - 2020-02-01, Strathclyde Institute for Pharmacy & Biomedical Sciences, University of Strathclyde.

Hyde-Linaker, George and Black, Richard and Kazakidi, Asimina (2020) Fluid-structure interaction simulation of multiple bifurcations in arm under transient boundary conditions due to flow mediated dilation. In: 23rd Annual Meeting Scottish Cardiovascular Forum 2020, 2020-02-01 - 2020-02-01, Strathclyde Institute for Pharmacy & Biomedical Sciences, University of Strathclyde.

Boumpouli, Maria and Danton, Mark and Gourlay, Terry and Kazakidi, Asimina (2020) Understanding the blood flow in realistic and idealised models of the pulmonary bifurcation. In: 23rd Annual Meeting Scottish Cardiovascular Forum 2020, 2020-02-01 - 2020-02-01, Strathclyde Institute for Pharmacy & Biomedical Sciences, University of Strathclyde.

Black, Scott and Ritos, Konstantinos and Maclean, Craig and Brodie, Robbie and Kazakidi, Asimina (2020) Blood flow analysis of the aortic arch using computational fluid dynamics in a coupled 3D-0D framework. In: 23rd Annual Meeting Scottish Cardiovascular Forum 2020, 2020-02-01 - 2020-02-01, Strathclyde Institute for Pharmacy & Biomedical Sciences, University of Strathclyde.

This list was generated on Sat Jul 11 19:59:46 2020 BST.