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 | 2018 | 2017
Number of items: 6.

2019

Sezen, Savas and Kinaci, Omer Kemal (2019) Incompressible flow assumption in hydroacoustic predictions of marine propellers. Ocean Engineering, 186. 106138. ISSN 0029-8018

Sezen, Savas and Cakici, Ferdi (2019) Numerical prediction of total resistance using full similarity technique. China Ocean Engineering. ISSN 0890-5487 (In Press)

2018

Sezen, Savaş and Doğrul, Ali and Bal, Şakir (2018) An empirical approach for propeller tip vortex cavitation noise. Sigma Journal of Engineering and Natural Sciences, 36 (4). pp. 1127-1139. ISSN 1304-7205

Dogrul, Ali and Ozdemır, Yavuz Hakan and Sezen, Savas and Barlas, Barıs (2018) Uncertainty assessment and self-propulsion estimation of Duisburg Test Case. In: 3rd International Symposium on Naval Architecture and Maritime, 2018-04-23 - 2018-04-25, Yildiz Technical University.

2017

Dogrul, A. and Sezen, S. and Delen, C. and Bal, S.; Soares, Carlos Guedes and Teixeira, Ângelo P., eds. (2017) Self-propulsion simulation of DARPA suboff. In: Developments in Maritime Transportation and Harvesting of Sea Resources. CRC Press, PRT. ISBN 9780815379935

Delen, Cihad and Sezen, Savas and Bal, Sakir (2017) Computational investigation of the self propulsıon performance of Darpa Suboff vehicle. Tamap Journal of Engineering, 2017. 4.

This list was generated on Tue Jul 7 09:45:34 2020 BST.