Thesis topics and supervisors

The following members of staff offer postgraduate supervision.

Mathematics Academic Staff

Name	Research interests
Prof Astrid An Huef	Functional analysis, operator algebras, associative rings and algebras
AProf Lisa Orloff Clark	Functional analysis, operator algebras, associative rings and algebras
Dr Peter Donelan	Singularities of robot kinematics, invariant theory, pseudoinverses for non-Riemannian metrics
Prof Rod Downey	Theory of computation, computability and parametrized complexity, reverse mathematics, algorithmic information theory
Prof Noam Greenberg	Computability theory, set theory
Dr Byoung Du Kim	Number theory
Prof Stephen Marsland	Shape Analysis, diffeomorphism groups, Machine learning, complexity
Dr Dillon Mayhew	Matroid theory, graph theory, computational complexity, computability theory, finite model theory
Prof Mark McGuinness	Mathematical modelling, differential equations, industrial and geophysical mathematics, biomathematics
Dr Dimitrios Mitsotakis	Numerical analysis of partial differential equations, fluid mechanics, scientific computation and nonlinear waves
Dr Hung Pham	Banach algebras, abstract harmonic analysis
Prof Iain Raeburn	Functional analysis, operator algebras, representation theory
Dr Dan Turetsky	Computability Theory
Prof Matt Visser	General relativity, quantum field theory, theoretical cosmology
Prof Geoff Whittle	Matroid theory, combinatorics

Statistics Academic Staff

Name	Research interests
Dr Ryan Admiraal	Social network analysis, disease modelling
AProf Richard Arnold	Bayesian statistics, reliability, applications to geophysics (statistics of oriented objects), applications to fisheries (population models)
AProf Stefanka Chukova	Warranty Analysis, reliability
Dr Laura Dumitrescu	Data analysis, robust estimation, longitudinal data, central limit theorems
Dr John Haywood	Time series analysis, seasonal modelling, forecasting and statistical applications
Dr Yuichi Hirose	Semiparametric estimation in case-control and missing data, model selection, variational Bayesian methods
Prof Estate Khmaladze	Asymptotic methods of statistics, random processes, Statistical modelling and applications
AProf Ivy Liu	Categorical data analysis
Dr Binh Nguyen	Image Analysis and Visualization, Health Data Sciences and Informatics, Machine Learning
Dr Thuong Nguyen	Asymptotic statistics
Dr Nokuthaba Sibanda	Bayesian inference, Spatial statistics, Bayesian modelling in fisheries and healthcare
Prof Peter Smith	Communications, signal processing
Dr Budhi Surya	Optimal stopping of Levy processes, probability applied to financial economics and actuarial science
Dr Yuan Yao	Statistical learning, High-dimensional data analysis, Survival analysis, Empirical processes