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Department of Computer Science Seminar
2018 Series

Computational Intelligence for Brain-Computer Interface: Applications and Challenges

Dr. Zehong Cao
Research Fellow
Faculty of Engineering and Information Technology
University of Technology Sydney

Date: November 16, 2018 (Friday)
Time: 10:30 - 11:30 am
Venue: SCT909, Cha Chi Ming Science Tower, Ho Sin Hang Campus

Brain-Computer Interface (BCI) is a powerful communication tool between users and systems, which enhances the capability of a human brain in communicating and interacting with the environment directly. BCI plays an essential role in neural computation and human-centred computing. Many people benefit from BCI, which facilitates continuous monitoring of fluctuations in cognitive states under monotonous conditions in the workplace or at home. In this seminar, I will first introduce the current status of BCI and its major obstacles. I will then present some neurocomputing methodologies to overcome these obstacles, including discovering the fundamental physiological changes of human cognitive functions at work and then utilising the main bio-findings and computational intelligence techniques to monitor, maintain, or track human cognitive states and operating performance. In the second part of the tutorial, I will introduce an innovative BCI-inspired research application called ‘fatigue detection in driving’. Some future research directions in BCI will be introduced and discussed, including the potential real-life applications of BCI on healthcare, rehabilitation, and medical treatment.

Zehong (Jimmy) Cao is currently a Research Fellow and Core Member of Centre for Artificial Intelligence and School of Software in Faculty of Engineering and Information Technology, University of Technology Sydney, Australia. He received the PhD in Information Technology from University of Technology Sydney in 2017. His research mainly explores the intelligent capacity of the human brain to communicate and interact with the environment/computer to assist and augment human cognitive functions. Dr. Cao had a string of successful 30+ articles among the most respected journals and conferences. He also served as the Associate Editor of IEEE Access (2018-2020), and the Guest Editor of Swarm and Evolutionary Computation (2018), Neurocomputing (2017), and International Journal of Distributed Sensor Networks (2017). He is a Key Member of China-Australia Millennial Project in 2018, and received Finalist Awards in China-Australia Entrepreneurship Competitions in 2017 and 2018.

********* ALL INTERESTED ARE WELCOME ***********
(For enquiry, please contact Computer Science Department at 3411 2385)
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