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Nesreen Abuoshlleh
My work revolves around understanding the effect of animal movements and interactions on spatial population dynamics, using mathematical modelling. My initial aim is to understand the emergence of segregated home ranges from resource sharing: first by considering immobile consumables (i.e. plants) then moving prey (i.e. animals). Ultimately, we will use the latter scenario to understand how the landscape of fear (for mobile prey) emerges, what it might look like under different ecological scenarios, and how it affects demographic dynamics.
Abdulmajeed Alharbi
My research of interest is around modeling and inferring stochastic processes driven by ecological applications. Especially, I am working on developing statistical methods for detecting the changepoints in an animal trajectories and inferring what influences an animal to change its direction.
Ben Andrews
My PhD project is on the topic of random graphs and complex networks. I am particularly interested in preferential attachment and its interactions with tournament style growth mechanisms.
Marc Bernard
I look forward to researching random graphs and trees, in particular the Galton-Watson process.
Eloise Bray
This project focuses on modelling the central place foraging behaviour of seabirds, aiming to understand how it is affected by anthropogenic environmental change such as the construction of offshore wind turbines.
Dominic Grainger
This project looks at ways to improve the application of continuous-time movement models, through improved methodology, algorithms and approximations.
Ryan Grossman
My current research interests focus on population and ecological dynamics of infectious disease systems. In particular, I will be working on the evolutionary modelling of host-parasite associations, concentrating on the coevolution of hosts and their parasites which infect them. Factors I will take into account are, but not limited to, spatial structure, and various trade-offs that arise as a result of the host developing costly resistive strategies against invading parasites. After completing my undergraduate and masters studies in Mathematics at the University of Manchester, I am very happy to join the University of Sheffield, and this great research group.
Simon Irons
Features of random graph models that experience exponential growth between generations including limiting spectra. The structure of topologies induced by local metrics and their application to stochastic problems.
Poppy Jeffries
I am developing mathematical models of seabird foraging behaviour in a vast, seemingly featureless, ocean environment. Here individuals gain partial knowledge of their environment, which drives a trade-off between exploring and exploiting the environment. An individual's position on this trade-off is influenced by their personality. My research aims to explore the foraging success of individual personalities, and how this will change as uncertainty in environmental conditions increases.
Navid Mirpoorian
My research focuses on the field of probability analysis and its applications to mathematical finance. I am interested in most topics within this and related areas. Especially modeling of financial markets in the presence of arbitrage, investment decision valuation, risk management in financial markets, machine learning in finance, and stochastic portfolio theory.
Kamila Nowosad
Charly Pain
James Salsbury
Nikolaos Stefanidis
My interest lies in how the spatial and temporal regulation of gene expression instructs cell fate and cell behaviour during posterior nervous system development. Using mathematical and in vitro modelling of nervous system development, I will be employing a systems biology approach to answer my questions.
Iain Webb
Jack Woodruff
My research is focused on spatial infectious disease models using a pairwise lattice approach. I am interested in how disease dynamics are affected by different processes such as vertical transmission and seasonal birth rates. Another area of interest is non-spatial fungicide resistance models, specifically how these models can be used to develop an optimal control strategy and inform policy.
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