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Next generation Intelligent Systems in Computing, Medical and Biological Sciences

Artificial Intelligence and Optimisation Research Group, School of Science, ECU

Tuesday, 19 September 2017 at 9:00 am - Wednesday, 20 September 2017 at 12:45 pm (AWST)

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The recent years have seen tremendous progress in the area of Artificial Intelligence (AI) and its applications across various domains. The focus of this symposium will be exploring the latest AI technologies, issues, trends, strategies and the challenges that are faced by the professionals in the field of computing, medical and biological sciences and to turn these issues into smart solutions viable for the next generation systems.

Keynote Speaker:

Prof. Chin-Teng (CT) Lin
Co-Director of Centre for Artificial Intelligence
University of Technology Sydney, Australia
https://www.uts.edu.au/staff/chin-teng.lin
Abstract

Brain Computer Interface and Bio-Computational Intelligence

Brain-Computer Interface (BCI) enhances the capability of a human brain in communicating and interacting with the environment directly. BCI plays an important role in natural cognition, which is to study the brain and behavior at work. Human cognitive functions such as perception, attention, situational awareness, and decision-making are omnipresent in our daily life activities. Hence, how to effectively enhance the human cognitive functions has become an important issue. Recently, many investigators have developed novel machine-learning algorithms based on computational intelligence (CI) technologies to monitor, maintain, or track the human cognitive states and operating performance. In this talk, I will first introduce the current status of BCI and its three major obstacles: lack of wearable EEG devices, various noise contamination, and lack of suitable adaptive cognitive modeling. I will then introduce the fundamental physiological changes of the human cognitive functions at work and then explain how to utilize these main Bio-findings and CI techniques (Bio-CI) to develop monitoring and feedback systems. I will also introduce some new CI-based machine learning algorithms to pursue real-time artifact removal and adaptive BCI, which can account for user variability, circadian variability, and task variability.  The real-life applications of BCI on various aspects will also be introduced, including wearable computing, driving, clinics, home care, personal training, and computer gaming.  Some future research directions will also be explored and discussed.

Other talks at the symposium

 

Start End Time Item/Presenter Talk Title Affiliation
9:00 AM 9:05 AM 0:05 Assoc/Prof Glenn Hyden Welcome ECU
9:05 AM 9:15 AM 0:10 Assoc/Prof Peng Lam Overview of research by AIO Group  ECU
9:15 AM 10:00 AM 0:45 Keynote Speech by Distinguish Prof CT Lin Brain Computer Interface and Bio-Computational Intelligence UTS
10:00 AM 10:20 AM 0:20 Dr Martin Masek   ECU
10:20 AM 10:40 AM 0:20 Prof. David Broadhurst A Clash of Two Cultures - The Juxtaposition of Biostatistics & Machine Learning in Systems Biology. ECU
10:40 AM 11:00 AM 0:20 Tea Break    
11:00 AM 11:30 AM 0:30 Assoc/Prof. Adel Al-Jumaily Computational intelligence based EMG driven real time assistive and rehabilitation systems. UTS
11:30 AM 11:50 AM 0:20 Dr Naeem Janjua   ECU
11:50 AM 12:10 PM 0:20 Dr John Carter Analysis of Mining Samples Using Infrared Spectroscopy and Machine Learning  Bureau Veritas Minerals Pty Ltd
12:10 PM 12:30 PM 0:20 Dr Syed Islam Artificial Life , and Saving Life with AI ECU
12:30 PM 1:00 PM 0:30 Lunch in Staff Room of the same building    
Have questions about Next generation Intelligent Systems in Computing, Medical and Biological Sciences? Contact Artificial Intelligence and Optimisation Research Group, School of Science, ECU

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When & Where


Building 19, Room 104, Edith Cowan University, Joondalup Campus
270 Joondalup Drive
Joondalup, WA 6027
Australia

Tuesday, 19 September 2017 at 9:00 am - Wednesday, 20 September 2017 at 12:45 pm (AWST)


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Organiser

Artificial Intelligence and Optimisation Research Group, School of Science, ECU

Dr. Syed Mohammed Shamsul Islam
Lecturer
Computing and Security
School of Science, 
Edith Cowan University (ECU)
Mobile : +61 41 65 41 554
Email : syed.islam@ecu.edu.au 

 

 

Dr. Naeem Janjua
Lecturer
School of Science, 
Edith Cowan University (ECU)
Mobile : 0431 064 900
Email : n.janjua@ecu.edu.au  

 

 

 

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Next generation Intelligent Systems in Computing, Medical and Biological Sciences
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