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: 2019 | 2018
Number of items: 3.

2019

Cebeci, Cagatay and Grimble, Michael and Recalde-Camacho, Luis and Katebi, Reza (2019) SDRE preview control for a LPV modelled autonomous vehicle. In: 3rd IFAC Workshop on Linear Parameter-Varying Systems, 2019-11-04 - 2019-11-06, Eindhoven University of Technology.

Cebeci, Zeynel and Cebeci, Cagatay; (2019) kpeaks : an R package for quick selection of k for cluster analysis. In: 2018 International Conference on Artificial Intelligence and Data Processing - Proceedings. IEEE, TUR. ISBN 9781538668788

2018

Cebeci, C. and Grimble, M.J. and Katebi, R. and Recalde, L.F. (2018) Restricted structure non-linear generalized minimum variance control of a 2-link robot arm. In: 12th UKACC International Conference on Control, 2018-09-05 - 2018-09-07, University of Sheffield.

This list was generated on Sat Jul 11 13:45:42 2020 BST.