We develop novel techniques and algorithms for all steps of data mining starting from data pre-processing and cleansing to future prediction and policy/strategy development. We work closely with industry partners to advance current practice and capability and thus solve real life problems by applying our in house and state of the art data mining techniques. We build systems for our industry partners to enhance their data analysis capability and thereby increase their business output.
Machine Vision and Digital Health (MaViDH) Research is one of the priority research areas according to the CSU Research Narrative. It brings modern innovations and technological developments to health, agriculture, and machine vision practices. Due to geographical distance from capital cities a major portion of regional people cannot access high quality health services, like those in major cities. One of the aims of the MaViDH research group is to tackle issues related to Digital health research for remote people through analysis of causal factors, development of remote health management system, and the collection and analysis of health-related data.
The aim of this Research Area is to address the security issues that accompany the advancements in information and communication technologies (ICTs) including the securing of computerized systems, web servers, networks and applications with the mission of making a significant contribution to Australia's readiness and response to the various security threats and attacks.
The group focus is to design, model, develop or apply image processing, computer vision, computational intelligence and machine learning techniques, wireless sensor network, and the Internet of Things (IoT) towards solving real-world problems in various domains, including agriculture, viticulture, environment, and law enforcement.
The Advanced Networks Research Group (ANRG) has been established by the academics and research higher degree students involved in advanced networks related research in the School of Computing and Mathematics. The research emphasis spans in wide range of basic and applied topics in wired and wireless networks addressing the challenges in Mobile Ad Hoc Networks (MANETs), Wireless Sensor Networks (WSNs), Vehicular Area Networks (VANETS), Wireless Body Area Networks (WBANs) and Cloud Computing. The objective of the Lab is not just to produce theoretical research but to create an intellectual and practical atmosphere where real research issues are addressed using the advanced technical tools available.