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...

Strathprints

Browse by Author or creator

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Publication Date | Item type | No Grouping
Jump to: 2020 | 2019 | 2018
Number of items: 3.

2020

Aktas, Batuhan and Yilmaz, Naz and Atlar, Mehmet and Sasaki, Noriyuki and Fitzsimmons, Patrick and Taylor, David (2020) Suppression of tip vortex cavitation noise of propellers using PressurePoresTM technology. Journal of Marine Science and Engineering, 8 (3). 158. ISSN 2077-1312

2019

Maasch, Matthias and Mizzi, Kurt and Atlar, Mehmet and Fitzsimmons, Patrick and Turan, Osman (2019) A generic wake analysis tool and its application to the Japan Bulk Carrier test case. Ocean Engineering, 171. pp. 575-589. ISSN 0029-8018

2018

Aktas, Batuhan and Atlar, Mehmet and Fitzsimmons, Patrick and Shi, Weichao (2018) An advanced joint time-frequency analysis procedure to study cavitation-induced noise by using standard series propeller data. Ocean Engineering, 170. pp. 329-350. ISSN 0029-8018

This list was generated on Mon Jul 13 20:06:09 2020 BST.