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.

Explore some of the Open Access research from Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Jump to: 2020
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2020

Nieto-Cerezo, Oscar and Wenzelburger, Jan and Patelli, Edoardo and Beer, Michael (2020) Optimal regulation of the construction of reliable sea defenses. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 6 (2). 04020023. ISSN 2376-7642

Sadeghi, Jonathan and de Angelis, Marco and Patelli, Edoardo (2020) Analytic probabilistic safety analysis under severe uncertainty. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 6 (1). 04019019. ISSN 2376-7642

This list was generated on Sat Jul 11 14:40:58 2020 BST.