Department of Mathematical Sciences

Organization profile

Organisation profile

Our research is based on teams focusing on particular research areas but with a strong culture of collaboration and mutual support.

In the 2014 Research Excellence Framework (REF), 88% of our research in all areas (Pure and Applied Mathematics, Statistics and Probability) was rated world leading/internationally excellent. The results of REF 2014 confirm the excellence of the research carried out in the Department of Mathematical Sciences.

Mathematical Sciences Research Centres:

The groups within Mathematical Sciences include:

Current members of the department can find more information about our research in our Research Wiki.

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Advice for postdoctoral researchers about how to apply for fellowships and join the Department of Mathematical Sciences.

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Model Mathematics
Lévy Process Mathematics
Partial differential equations Engineering & Materials Science
Modeling Mathematics
Energy Mathematics
Term Mathematics
Branching Brownian Motion Mathematics
Blow-up Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2004 2023

Research Output 1976 2019

Acoustic transmission problems: wavenumber-explicit bounds and resonance-free regions

Moiola, A. & Spence, E., 18 Jan 2019, In : Mathematical Models & Methods in Applied Sciences. 29, 2, p. 317-354 38 p.

Research output: Contribution to journalArticle

Transmission Problem
Explicit Bounds
Stars
Acoustics
Positive Curvature

A gradient estimate for nonlocal minimal graphs

Cozzi, M. & Cabré, X., 1 Apr 2019, In : Duke Mathematical Journal. 168, 5, p. 775-848 74 p.

Research output: Contribution to journalArticle

Open Access

Approximate Bayesian Inference for Geostatistical Generalised Linear Models

Evangelou, E., 13 Feb 2019, (Accepted/In press) In : Foundations of Data Science.

Research output: Contribution to journalArticle

Open Access
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Student theses

Analysis of power functions of multiple comparisons tests

Author: Liu, W., 1990

Student thesis: Doctoral ThesisPhD

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An application of MCMC methods for ionospheric tomography

Author: Khorsheed, E., 2007

Student thesis: Doctoral ThesisPhD

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Approximation of the attractor and the inertial manifold of the Kuramoto-Sivashinsky equation

Author: Falcon, M. A., 1998

Student thesis: Doctoral ThesisPhD

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