Research

Staff and postgraduate students in the School of Mathematics and Statistics collaborate in cross-disciplinary research projects across a range of subjects.

Researchers in the School of Mathematics and Statistics work in a diverse range of subject areas, in pure and applied fields. Staff and postgraduate students publish and present their work in international journals and conferences.

Staff in the School have had particular success in securing research funding from the Marsden Fund in areas such as Matroid Theory, Computability, Logic, General Relativity and Stochastic Processes.

Staff and students collaborate in cross-disciplinary projects in education, biology, physics, medicine, computer science, economics and many other areas.

Mathematics Academic Staff

Name	Website
Dr Peter Donelan	Singularities of robot kinematics, invariant theory, pseudoinverses for non-Riemannian metrics
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 Adam Day	Computability theory, algorithmic information theory, descriptive set theory
Prof Rod Downey	Theory of computation, computability and parametrized complexity, reverse mathematics, algorithmic information theory
Prof Rob Goldblatt	Mathematical logic, general algebra
Prof Noam Greenberg	Computability theory, set theory
Prof John Harper	Fluid mechanics
Dr Byoung Du Kim	Number theory
Dr Martino Lupini	Mathematical Logic, Operator algebras, Combinatorics, Dynamics
Dr Dillon Mayhew	Matroid theory, combinatorics
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
Prof Stephen Marsland	Shape Analysis, diffeomorphism groups, Machine learning, complexity
Prof Matt Visser	General relativity, quantum field theory, theoretical cosmology
Prof Geoff Whittle	Matroid theory, combinatorics

Statistics Academic Staff

Name	Website
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 statistics, random processes, martingale methods
AProf Ivy Liu	Categorical data analysis
Dr Binh Nguyen	Image Analysis and Visualization, Health Data Sciences and Informatics, Machine Learning
Prof Shirley Pledger	Biometrics
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

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Victoria University's statistical consultant is located within the School and is available to support the research of staff and students.