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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Jump to: 2017 | 2016 | 2015 | 2014
Number of items: 6.

2017

Al-Bugharbee, Hussein Razzaq Sabah and Abolfathi, Ali and Trendafilova, Irina (2017) Vibration-based damage detection of structure's joints in presence of uncertainty. In: International Conference on Engineering Vibration 2017 (ICoEV 2017), 2017-09-04 - 2017-09-07.

Al Bugharbee, Hussein and Trendafilova, Irina (2017) A methodology for fault detection in rolling element bearings using singular spectrum analysis. In: International Conference on Engineering Vibration 2017 (ICoEV 2017), 2017-09-04 - 2017-09-07. (In Press)

2016

Tabrizi, Ali Akbar and Al-Bugharbee, Hussein and Trendafilova, Irina and Garibaldi, Luigi (2016) A cointegration-based monitoring method for rolling bearings working in time-varying operational conditions. Meccanica. pp. 1-17. ISSN 0025-6455

Al-Bugharbee, Hussein and Trendafilova, Irina (2016) A fault diagnosis methodology for rolling element bearings based on advanced signal pretreatment and autoregressive modelling. Journal of Sound and Vibration, 369 (12 May). pp. 246-245. ISSN 0022-460X

2015

Al-Bugharbee, H and Trendafilova, I (2015) Autoregressive modelling for rolling element bearing fault diagnosis. Journal of Physics: Conference Series, 628 (1). 012088. ISSN 1742-6588

2014

Garcia, David and Trendafilova, Irina and Al-Bugharbee, Hussein Razzaq Sabah (2014) Vibration-based health monitoring approach for composite structures using multivatiate statistical analysis. In: 14th European Workshop on Structura Health Monitoring, 2014-07-08 - 2014-07-11.

This list was generated on Thu Jul 2 11:22:33 2020 BST.