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...

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Jump to: 2017 | 2015 | 2014
Number of items: 4.

2017

Theotokatos, Gerasimos and Sfakianakis, Konstantinos and Vassalos, Dracos (2017) Investigation of ship cooling system operation for improving energy efficiency. Journal of Mechanical Science and Technology, 22 (1). pp. 38-50. ISSN 1976-3824

2015

Sfakianakis, Konstantinos and Vassalos, Dracos; (2015) Design for safety and energy efficiency of the electrical onboard energy systems. In: 2015 IEEE Electric Ship Technologies Symposium, ESTS 2015. Institute of Electrical and Electronics Engineers Inc., USA, pp. 150-155. ISBN 978-1-4799-1856-0

SFAKIANAKIS, Konstantinos and Vassalos, Dracos; (2015) Alternative design of shipboard electrical distribution energy systems for passenger ships. In: Proceedings 12th International Marine Design Conference. UNSPECIFIED, JPN. ISBN 9784930966049

2014

Sfakianakis, Konstantinos and Theotokatos, Gerasimos and Vassalos, Dracos (2014) Investigation of ship cooling system operation for improving energy efficiency. In: ICMT 2014, 2014-07-07 - 2014-07-09, University of Strathclyde.

This list was generated on Tue Jul 14 18:50:05 2020 BST.