Project Descriptions

1. Virtual Reality and Human/Brain Computer Interaction (HCI/BCI)
   RSCS Academics: Tom Gedeon, Henry Gardner, Dingyun Zhu
   PhD Students: James Sheridan, Ben Swift, Torben Schou, Jayeyong Chung, Gareth Oliver
   Collaborators: Alistair Riddell (Arts), Andrew James (Visual Sciences, RSBS), Michael Martin and Stephen Roberts (Statistics, CBE), Andrew Coward
   We study the nature of human computer interaction in advanced virtual reality interfaces which make the use of EEG signals from the brain of participants as interactive input and which also use these signals to diagnose and measure the brain states of participants.

2. Construction of Intelligent and Responsive Systems
   DCS Academics: Tom Gedeon, Henry Gardner, Dingyun Zhu
   PhD Students: Nandita Sharma, Leana Copeland
   Collaborators: Bruce Shadbolt (Canberra Hospital), Richard Jones (The Distillery), Masoud Mohammadian (UC), Hussein Abbass (ADFA), László Kóczy (Tech. Univ. Budapest), Kevin Wong (Murdoch)
   We aim to extract useful information from data, and present it to human beings in a hierarchical fashion which is easy to understand and to act upon.

3. Computers and Art
   DCS Academics: Tom Gedeon, Henry Gardner, Dingyun Zhu
   PhD Students: James Sheridan, Ben Swift, Torben Schou
   Collaborators: Alistair Riddell, Martyn Jolly, Paul Kirwan (Arts)
   This group of projects extends the two previous groups to produce novel works of art and to study the way in which an audience perceives and interacts with these works of art.

4. eScience Interfaces
   DCS Academics: Henry Gardner
   Collaborators: Jay Larson, Raju Karia
   The objective of projects in this group is to produce robust architectures and frameworks for generating interfaces to scientific and engineering software and data which can be hosted over the internet. An ultimate goal is to isolate software engineering principles and patterns behind these interfaces. Many of the projects in this category are shorter graduate-level projects rather than being at PhD level.

5. Data Mining and Linkage/Matching
   DCS Academics: Peter Christen, Huizhi Liang
   PhD Students: Nguyen Tran, Sally Fu
   Data mining is concerned with the analysis of large databases with the aim to detect novel, interesting and potentially useful patterns, rules and correlations. Data linkage (or matching) is the process of linking and aggregating records that refer to the same entities from several databases. This is commonly required in many applications as a pre-processing step before data can be mined and analysed.
   • Details about our research project on Parallel large scale techniques for high-performance data linkage.