Associate Professor
C. Peng Lam,
B Sc(Hons) (U. Malaya), GDip (education) (U. Malaya), GDip (Computing) (Curtin),
PGDip (Computer Sc) (Curtin), PhD (Curtin), MIEEE
Associate
Professor Philip Hingston Ph.D. (Monash), P.G.Dip.Comp.Studies (Melbourne),
B.Sc.(Hons, UWA), SMIEEE, MACM
This group was established in March 2007, combining the existing AI and SE clusters. The purpose of the group is to explore and to develop strategies/tools for dealing with specific projects in each of the focus areas and to develop collaborative projects that will straddle across these two key areas. Current themes are:
Investigations are carried out to explore and to develop automated testing techniques/tools for verifying "trusted" components and for testing systems developed via composition. A second focus of this area involves the development of automated techniques to select suitable components for system development. These techniques incorporate the use of XML and related technology, XMI, AI and the UML. Another focus is the development of web-based techniques/tools for managing large and heterogeneous data sets from a wide range of domains (e.g. chemical processes with alarms/process data, medical data, process models etc). The development of these tools involves the application of a wide range of techniques from AI, SE, Computer Science, Statistics, Database and XML.
Here we have members with core expertise in AI and soft computing, as well as in games technologies. We apply these to applications such as evolutionary design, sequence modelling, artificial evolution, data clustering, web knowledge mining, and AI in games. A particular focus is applications in the area of health and exercise.
Under this theme, digital data and image processing is applied to ballistics, and medical imaging, particularly in combination with wireless and mobile technologies. We are interested in research in the areas of pervasive and ubiquitous computing, with further interest in the next generation and smart wireless communication systems and networks. The visualisation of medical and ballistics information with applied wireless technologies will be a strength in this field. Currently, we have projects in the area of augmented reality, ubiquitous computing, mobile biometric systems and a ballistics image system. We are also researching alternative user interfaces for mobile systems.