The Department of Mathematical Sciences has an active research program in a number of areas. It has particular research strengths in:

• Mathematics and Statistics Education
• Quantitative Finance
• Operations Research/Management Science
• Design of Experiments and Applied Statistics

Additionally, many staff are members of research groups that go beyond the Department. These include:

The Centre for Ultrahigh-bandwidth Devices for Optical Systems (CUDOS), an ARC Centre of Excellence involving five national universities.
Contact:  Professor Lindsay Botten

The Key University Research Strength in Quantitative Finance (Mathematical Sciences and the School of Finance and Economics).
Contact:  Professor Eckhard Platen

The Centre for the Study of Choice (CenSoc) (Mathematical Sciences and the School of Marketing).
Contact: Professor Deborah Street

For more information on research: http://www.science.uts.edu.au/maths/research.html

Head of Department
Dr Tim Langtry, 9514 2236
Email:  tim.langtry@uts.edu.au

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Research Areas and Contact Information

Mathematics and Statistics Education

• Computer algebra systems
• Mathematics education
• Activity theory & phenomenography
• Applied statistics, statistical education
• Tertiary maths learning/teaching
• Language, statistics & technology
• Conceptions of statistics and mathematics

Contact:
  Dr Mary Coupland
  Dr Geoff Smith

Quantitative Finance

• Optimisation & optimal control
• Theory of the firm
• Capital structure & dividend policy
• Stochastic modelling
• Mathematical finance & reliability
• Nonparametric statistics
• Statistics of random processes
• Financial mathematics
• Quantitative finance
• Numerical methods for stochastic differential equations

Contact:
  Professor Alex Novikov
  Professor Eckhard Platen
  Dr Mark Craddock

Operations Research/Management Science

• Scheduling theory
• Discrete optimisation
• Production planning & scheduling
• Personnel scheduling

Contact:
  Dr Layna Groen
  Dr Yakov Zinder

Design of Experiments and Applied Statistics

• Design & analysis of randomised response questionnaires
• Statistical learning techniques for non-mathematicians
• Construction of optimal designs for a variety of application areas
• Industrial experimentation
• Stated choice experiments
• Bio-statistics
• Bayesian methods
• Generalised linear models
• Statistical applications in insurance and finance

Contact:
  Dr Narelle Smith
  Professor Deborah Street
  Dr Boris Choy

Other

• Partial differential equations and harmonic analysis

Contact:
  Dr Mark Craddock