Three researchers to present their work at the House of Commons

Philip Pearce, Weijian Zhang and Sam Relton have been shortlisted for the 2016 SET for BRITAIN competition and will display their posters at Portcullis House in the House of Commons on 7th March 2016

House of Commons

The overall aim of SET for BRITAIN is to encourage, support and promote Britain's early-stage and early-career research scientists, engineers, technologists and mathematicians who are an essential part of continuing progress in and development of UK research and R&D.

Samuel D. Relton will be presenting a poster entitled 'Implicitly Estimating the Largest Elements of a Matrix'. When a matrix is known explicitly it is a simple task to find its largest elements. However, in many real-life applications, the matrix is not known explicitly and we are only able to form matrix-vector products. For example in network analysis the largest elements of exp(A), where A denotes the adjacency matrix, correspond to the strongest links between nodes in the network. Similarly the largest element of large, sparse matrix products can be used to recommend products to customers in recommender systems used by companies such as Amazon and Netflix. Sam's poster, co-authored by Nicholas J. Higham, describes his approach to this problem, significantly extending previous work by Boyd (1974) and Tao (1984), and its use in the previously mentioned applications. 

Dr Philip Pearce, an EPSRC Doctoral Prize Fellow, will be presenting his poster at the Mathematical Sciences session. His poster is entitled 'Relating structure to function in the placenta via mathematical modelling'. The placenta is arguably the most important human organ, performing functions later taken up by the kidneys, lungs, liver, gut and endocrine glands. Inhis poster, Philip investigates oxygen transfer in small capillaries in the placenta. A combination of techniques are used, including simulations of blood flow and oxygen transfer on real geometries obtained from 3D images and simplified mathematical modelling.

Weijian Zhang, a PhD student in the School of Mathematics, will be presenting his poster on 'Time-Dependent Network Modelling for Mining Scientific Literature'. The poster showcases Weijian's current research on time-dependent networks and introduces a new model for mining scientific literature. In contract to the ranking algorithms used in traditional web information retrieval, his model can provide researchers with the most relevant papers in a structured way.

The School wishes all three representatives from The University of Manchester the best of luck with their presentations in March. 

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