Research areas

The research team is led by Centre Director Prof. Chin-Teng Lin, and includes Dr. Chun-Hsiang Chuang and Dr. Shih-An Chen, with five postdoctoral fellows (Dr. Jung-Tai King, Dr. Kuan-Chih Huang, Dr. Tommy Huang, Dr. Yu-Ting Liu), and five PhD students.

The Centre has two major research areas:  

  • mobile sensing technologies of Brain EEG (Electroencephalography) and
  • assessment of human cognitive states from sensed brain activity and other physiological signals.

Our short-term research objective is to exploit computational intelligence methodologies for Brain-Computer Interfaces (BCIs), a developing field adding a new dimension of functionality to Human-Computer Interfaces (HCIs).

Our longer-term goal is to incorporate bio-inspired, brain-like computational capabilities into next-generation computers and robots.

We are using new computational intelligence methodologies in the development of Brain-Computer Interface (BCI) technology, which aims to extend the capacity of the human brain in directly communicating and interacting with the environment, assisting, augmenting, or repairing human cognitive or sensory-motor functions. The team has already developed novel machine-learning algorithms based on Computational Intelligence (CI) technologies which can monitor, maintain, or track human cognitive states and operating performance, and attack the long-time existing BCI dilemma of user variability, circadian variability, and task variability.

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.