The proposed CI-BCI Lab in FEIT, UTS will focus on Computational Brain Informatics, which play a pivotal role in wearable computing, mobile computing, affective computing, cognitive computing, behavior computing, and big data technologies. Especially, there is a developing need for human-computer interfaces (HCIs) that can be used in situations where the typical interfaces such as keyboards and mouse are not viable like wearable computers. BCI is a developing field that has been adding this new dimension of functionality to HCI.
There are two major research trusts in this Lab:
1. Mobile sensing technologies of brain EEG (Electroencephalography) waves with high comfort,
2. Human cognitive states assessment from sensed brain activity and other physiological signals.
The team led by CT Lin has taken a world-leading role in these technologies. Human cognitive functions such as perception, attention, situational awareness, and decision-making are omnipresent in our daily life activities. Hence, how to effectively assess and enhance the human cognitive functions has become an important issue. CT Lin and his team members have developed novel machine-learning algorithms based on computational intelligence (CI) technologies to monitor, maintain, or track the human cognitive states and operating performance by attacking the long-time existing BCI dilemma of user variability, circadian variability, and task variability.
The short-term research objective of CI-BCI Lab is to exploit computational intelligence methodologies for BCI, and the long-term goal is to incorporate bio-inspired, brain-like computational capabilities into next-generation computers and robots.
With a strong background in both BCI and CI developments, clear objectives, and strong support from FEIT, the proposed CI-BCI Lab will become a unique lab in Australia, and a world-leading Lab in real-life BCI research contributing to both scientific new findings and engineering innovations for industries to advance human well-being. It will also build international collaboration with top leading universities such as UCSD, Purdue, Harvard, Oxford, Southampton, etc. These will directly contribute to UTS research reputation.