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: 2019 | 2017 | 2016
Number of items: 5.

2019

Amirafshari, Peyman and Stacey, Alexander (2019) Review of available probabilistic models of the crack growth parameters in the Paris equation. In: 38th International Conference on Ocean, Offshore & Arctic Engineering, 2019-06-09 - 2019-06-14, Scottish Event Campus.

2017

Michala, A. L. and Barltrop, N. and Amirafshari, P. and Lazakis, I. and Theotokatos, G.; (2017) An intelligent system for vessels structural reliability evaluation. In: Life-Cycle of Engineering Systems. CRC Press/Balkema, NLD, pp. 1891-1898. ISBN 9781138028470

Amirafshari, Peyman and Bharadwaj, Ujjwal and Barltrop, Nigel and Oterkus, Selda and Wright, Martyn (2017) Application of probabilistic fracture mechanics in risk based non destructive examination of new building ships. In: National Structural Integrity Research Centre (NSIRC) Conference 2017, 2017-06-21 - 2017-06-22.

Amirafshari, Peyman and Barltrop, Nigel and Bharadwaj, Ujjwal and Wright, Martyn and Oterkus, Selda (2017) A review of nondestructive examination methods for new-building ships undergoing classification society survey. Journal of Ship Production and Design, 33 (2). pp. 1-11. ISSN 2158-2866

2016

Michala, A. L. and Barltrop, N. and Amirafshari, P. and Lazakis, I. and Theotokatos, G.; (2016) An intelligent system for vessels structural reliability evaluation. In: International Conference on Maritime Safety  and Operations. University of Strathclyde, GBR, pp. 171-179. ISBN 9781909522169

This list was generated on Sat Jul 4 16:17:27 2020 BST.