Computational Intelligence and Brain Computer Interface Centre

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With a strong background in both BCI and CI technologies, clear objectives, and strong support from FEIT, the CI&BCI Center aims to become:

A distinguish lab in Australia, and a world-leading lab in real-life BCI research,
Attracting world class researchers and international media,
Build international collaboration with top leading universities such as University of California, San Diego, Purdue, Harvard, Oxford, Southampton, etc.,
Contributing to UTS research reputation and publish top notch research work ,
Contributing to both scientific new findings and engineering innovations for industries to advance human well-being.


The CI&BCI Centre in FEIT, UTS is focus on Computational Brain Informatics

Playing a pivotal role in wearable computing, mobile computing, affective computing, cognitive computing, behavior computing, cloud computing, and big data technologies.
Providing a world unique facility for simultaneously Recording Physiological, Behavior, and Environment signals for Mobil BCI studies
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.
Brain-computer interfaces (BCIs) is a developing field that has been adding this new dimension of functionality to HCI
There are two major research trusts in this centre

Mobile sensing technologies of Brain EEG (Electroencephalography) waves with high comfort,
Human cognitive states assessment from sensed brain activity and other physiological signals
Research Objectives of CI-BCI Lab

The short-term research objective is to exploit computational intelligence methodologies for BCI,
The long-term goal is to incorporate bio-inspired, brain-like computational capabilities into next-generation computers and robots


Brain-Computer Interface (BCI) aims to extend the capacity of human brain in directly communicating and interacting with the environment, at assisting, augmenting, or repairing human cognitive or sensory-motor functions.

BCI plays an important role in natural cognition, which is to study the brain and behavior at work. It is also the key research topic in the current two world largest-scale brain research projects:

Brain Initiative Project (2014-2024, 1 billion USD) in USA,
Human Brain Project (2014-2024, 1.2 billion Euros) in EU.
Research on BCI began in the 1970s at the UCLA, and has become an blooming research area in many world leading institutes nowadays in different countries, including

USA (UCSD, Purdue, John Hopkins, Duke, UW-Madison, Georgia Institute of Technology)
UK (Oxford, Southampton, U. of Essex, Plymouth University)
Switzerland (Swiss Federal Institute of Technology (EPFL), U. of Geneva)
Japan (Keio, RIKEN Brain Science Institute)
Germany (TU Berlin)
Canada (U. of British Columbia, U. Toronto), etc.
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,
To attack the long-time existing BCI dilemma of user variability, circadian variability, and task variability.

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