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Mathematical and Computer Sciences

Faculty of Engineering, Computer & Mathematical Sciences website

Executive Dean: Professor Peter Dowd

Manager: Ms Clara Barbieri

Postgraduate Research:
Phone: 61 8 8303 6476
Fax: 61 8 8303 6492
Email: ecms_office@adelaide.edu.au

Enrolment enquiries: Adelaide Graduate Centre
Phone: 61 8 8303 5882
Email: graduate.centre@adelaide.edu.au

Research Awards
Academic program Duration Annual fee
domestic
Annual fee
international 2009 1
Start date Mode of study Prerequisite qualifications
Master of Science (Mathematical & Computer Sciences) up to 2 years RTS* $26,000 Feb/July Internal, full / part time Honours degree or equiv.
Doctor of Philosophy in Computer Science up to 4 years RTS* $26,000 Feb/July Internal, full / part time Honours IIA degree or equiv.
Doctor of Philosophy in Mathematical Sciences up to 4 years RTS* $26,000 Feb/July Internal, full / part time Honours IIA degree or equiv.

* Research Training Scheme (RTS) - Currently all commencing "local" higher degree by research students at the University of Adelaide are awarded a Research Training Scheme (RTS) place. The RTS place entitles the student to a maximum period of four years of tuition fee exempt candidature to undertake a PhD program or two years of tuition fee exempt candidature to undertake a Masters program. This means there is no HECS debt at the end of the program.
"local" includes Australian citizens or permanent residents and New Zealand citizens.

International
1 The quoted fee is a base fee that will be subject to an annual increase of up to 3% (5% from 2009 and later) for each of the subsequent years in the program for the duration published on this site. Students completing the program beyond the maximum published period will be subject to a new base fee.

School of Computer Science

Phone: 61 8 8303 5586
Fax: 61 8 8303 4366
Email: secretary@cs.adelaide.edu.au
Website: www.cs.adelaide.edu.au/research/

Computer Science is the study of how software and hardware can be combined to overcome a remarkable range of challenges.

Our highly qualified and experienced staff members teach at all levels and supervise a large number of Master and PhD students. Many of the School's former higher degree students now hold prestigious positions in the academic, commercial and government sectors. The school is particularly proud to host students from all over the world, lending a rich cultural mix to our school. Masters students may specialise in IT, Computer Science, or Software Engineering.

Key players from various IT companies participate in some of the teaching. Extensive computer facilities are available for students, as well as learning and consulting centres.

The School undertakes internationally recognised research and development in areas that include computer vision, artificial intelligence, distributed high-performance computing, software architectures and formal methods. Commercialisation of the School's research has lead to the award of national and international prizes. The School is a key contributor to the South Australian partnership for Advanced Computing, which manages several supercomputers, parallel clusters and high-end visualisation facilities.

The School is very active in research and receives funding from a variety of sources, including the ARC, DSTO, industry and the University itself.

Research Interests

  • 3D scene reconstruction from multiple images
  • Automated distribution techniques
  • Automated verification of concurrent systems
  • Bioinformatics
  • Business intelligence
  • Cluster computing
  • Communication architectures for parallel machines
  • Component based verification
  • Computational physics
  • Computer vision
  • Distributed simulation
  • Evolutionary computing and genetic algorithms
  • Flexible architectures in distributed shared memory systems
  • Formal modelling and verification
  • Garbage collection algorithms for massive object stores
  • Generating 3D models from video
  • Genome indexing
  • Grid computing applications
  • Grid resource brokers
  • High performance computing
  • Java for high-performance computing
  • Language systems for web-based application development
  • Large-scale distributed data archives (data grids)
  • Memory management of distributed and persistent systems
  • Numerical linear algebra
  • Orthogonal polynomials, data smoothing and quadrature formulae
  • Parallel and distributed systems
  • Performance modelling of parallel programs
  • Persistent systems
  • Protocols and modelling of wide area network quality of service
  • Safe re-configuration and adaptation of grid applications
  • Software architectures that comply with application needs
  • Standard, generalised and quadratic inverse eigenvalue and control problems
  • Tools for grid application development
  • Video surveillance and analysis
  • Visualisation of distributed systems

The Computer Vision group is one of five major research groups at the School of Computer Science. It undertakes a wide range of research activities, and is actively involved with students, supervising numerous honours, masters and PhD projects every year.

Computer vision is concerned with interpreting visual data such as images or video, much like our eyes do for us every day. The types of problems computer vision researchers aim to solve include: computing the 3D shape of an environment given only some images of it; recognising people or cars in video; interpreting behaviour observed in video; and merging rendered graphics with real video, a common task for movie post-processing. These are all problems that pose a surprising range of challenges for computers.

Computer vision is an interesting research area in itself, but it also has many commercial and practical applications. For example, every year pilots patrol Australia's marine wildlife reserves, looking for illegal fishing boats. As you might imagine, given the huge area of protected waters around Australia, this is a difficult task. A better strategy would be to fly unmanned aircraft over the marine reserves, with video cameras attached. The problem is then to detect boats in the video footage, preferably automatically, so that people do not need to spend hours sitting in planes or monitoring video footage to find illegal boats.

The problem is complicated because boats come in all shapes and sizes - so how do we know what to look for? The ocean can also change appearance dramatically, depending on the weather conditions, water depth and so on. It turns out that there is no single test we can apply to video to decide whether we can see a boat. However, by carefully combining several tests, we are able to create a system that detects boats with a high degree of reliability.

Some of the tests that were devised included colour (the water is usually a shade of blue), shape (a ship is usually elongated in one direction) and motion. Of course if a ship is moving, it leaves a wake, which is also useful for detection. Our detector was deployed in live tests off the coast of Western Australia, and successfully detected a number of boats despite many distractions such as wave fronts and shallow water. It is hoped that in future such techniques will enable far more efficient patrolling of our marine resources.

The computer vision group is also involved in many other visual surveillance projects, as well as projects on 3D scene reconstruction and the fusion of computer graphics with vision.

School of Mathematical Sciences

Website: www.maths.adelaide.edu.au

The School of Mathematical Sciences encompasses the Disciplines of Applied and Pure Mathematics and Statistics which are described below. Staff in the School facilitate teaching and research in the disciplines of mathematics and statistics and are Australian leaders in postgraduate research training in these areas. The School is highly respected internationally as a centre for research in bioinformatics, differential and finite geometry, fluid mechanics, mathematical modelling, medical statistics, selected areas of telecommunications and areas of formal modelling and verification.

Many other areas of the mathematical sciences are actively researched within the School and the exceptional quality of the staff has been recognised by awards and medals from the Australian Academy of Science and the Australian Mathematical Society. Research groups in the School are supported by a variety of sources including external competitive grants from major funding bodies and commercial and industrial consultancies. Facilities of special note affiliated with the Schools include:

Disciplines

Applied Mathematics

Phone: 61 8 8303 5407
Fax: 61 8 8303 3696
Email: admin.maths@list.adelaide.edu.au
Website: www.maths.adelaide.edu.au/applied/

Applied Mathematics has an active research program with substantial funding from external organisations including the Australia Research Council, DSTO and Telstra.

Active research groups in the areas:

  • Applied Probability
  • Fluid Mechanics
  • Computational Mathematics
  • Stochastic Modelling
  • Operations Research
  • Financial Mathematics
  • Telecommunications Network Modelling and Performance Analysis.

Pure Mathematics

Phone: 61 8 8303 5407
Fax: 61 8 8303 3696
Email: admin.maths@list.adelaide.edu.au
Website: www.maths.adelaide.edu.au/pure/

Pure Mathematics has an active research program in the areas of mathematics listed below, and members of the School are in receipt of numerous grants from external bodies such as the Australian Research Council. The School houses the Institute for Geometry and its Applications, which coordinates and promotes research in this sub-discipline, forming an internationally recognised Centre.

  • Finite geometry and combinatorics, and applications to information security;
  • Number theory and applications to cryptography;
  • Finite group theory including applications to finite geometries and combinatorics;
  • Mathematical physics in particular string theory, conformal field theory, (fractional) quantum Hall effect and gauge theories;
  • Integral geometry, Lie group representation theory, several complex variables and twistor theory;
  • K-theory, index-theory and noncommutative geometry;
  • Differential geometry, algebraic geometry, gauge theory and analysis on manifolds.

Statistics

Phone: 61 8 8303 5407
Fax: 61 8 8303 3696
Email: admin.maths@list.adelaide.edu.au
Website: www.maths.adelaide.edu.au/stats/

Statistics research activities are at the cutting edge of theoretical and applied statistics, biostatistics, bioinformatics and statistical computing:

  • Bayesian statistics of estimation
  • Bioinformatics
  • Design and analysis of microarray experiments
  • Biostatistics focusing on clinical trials, survival analysis, statistical aspects of AIDS, quantitative epidemiology and quantitative genetics
  • Random effects modelling
  • Longitudinal data analysis
  • Statistical modelling focusing on the development and fitting of statistical models, together with the ensuing problems
  • Survival analysis