Research in the field of applied mathematics from the Faculty of Science, University of Melbourne.
Researchers
Douglas Brumley Using microfluidic devices, fluorescent microscopy and high speed imaging in conjunction with mathematical models to investigate fundamental physical principles.
Jennifer Flegg Using mathematical biology to study wound healing, tumour growth and epidemiology.
Geoffrey Grimmett Applied mathematics.
Hailong Guo Numerical analysis and scientific computing.
Roslyn Hickson Mathematical modelling of infectious diseases, particularly malaria in the Asia-Pacific region.
Barry Hughes Applied mathematical methods, probability modelling, mathematical biology, continuum modelling, random walks, random environments.
James McCaw Modelling of host-pathogen-drug dynamics with a focus on influenza and malaria, to develop public health control strategies for emerging and re-emerging infectious diseases.
James Osborne Numerical and computational methods for mathematical models of biological phenomena.
John Sader Plasticity and elasticity, dynamic force spectroscopy, nanocrystal mechanics, atomic force microscopy, continuum modelling, colloidal interactions.
Kate Smith-Miles Combinatorial, continuous and multi-objective optimisation, performance evaluation, generation of hard test instances, mathematical modelling, parameter estimation, dimensional reduction, numerical linear algebra,machine learning.
Antoinette Tordesillas Homogenization theory, interfacial continuum, mechanics, mechanics of complex systems, mechanics of granular media.
Research centres
ARC CoE for Exciton Science
Researching better ways to manipulate the way light energy is absorbed, transported and transformed in advanced molecular materials.
Mathematical Research Institute MATRIX
MATRIX is an international research institute that runs research programs where world lead researchers in the mathematical sciences, as well as experts from business and industry, can come together.
SWARM Project
The SWARM Project is attempting to achieve fundamental advances in collaborative reasoning with a focus on improving intelligence analysis.
Research in this area is conducted in the School of Biosciences and School of Mathematics and Statistics.