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

Dr David Balduzzi

Machine learning

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 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

Dr Dan Turetsky

Logic

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

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

Find out more about:

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