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
Number of items: 3.

2017

Onyeiwu, Chimaeze and Yang, Erfu and Rodden, Tony and Yan, Xiu-Tian and Zante, Remi C and Ion, William (2017) In-process monitoring and quality control of hot forging processes towards Industry 4.0. In: Industrial Systems in the Digital Age Conference 2017, 2017-06-20 - 2017-06-21, University of Glasgow.

Chen, Yi and Li, Yun and Yu, Hongnian and Yang, Erfu and Hu, Huosheng (2017) Evolutionary design for intelligent design and manufacture - a Computer-Automated Design (ACutoD) in the digital age. In: Industrial Systems in the Digital Age Conference 2017, 2017-06-20 - 2017-06-21, University of Glasgow.

Wong, Cuebong and Yang, Erfu and Yan, Xiutian and Gu, Dongbing (2017) Robots in industry : a shift towards autonomous and intelligent systems in the digital age. In: Industrial Systems in the Digital Age Conference 2017, 2017-06-20 - 2017-06-21, University of Glasgow.

This list was generated on Fri Jul 10 14:29:55 2020 BST.