Artificial Intelligence and Big Data for Aged Care
The IEEE Queensland Engineering in Medicine and Biology Chapter cordially invite you for two talks on Artificial Intelligence applications and Big Data analytics in aged care environment, by Martin Keetels from Konica Minolta and Professor Xue Li from University of Queensland, on Friday June 10th 2016 at 2pm on Royal Brisbane and Women's Hospital campus.
Date and Time
Location
Hosts
Registration
- Date: 10 Jun 2016
- Time: 02:00 PM to 04:00 PM
- All times are (UTC+10:00) Brisbane
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- Royal Brisbane and Women's Hospital
- Herston, Queensland
- Australia 4029
- Building: 71/918, UQ CCR Auditorium
- Click here for Map
- Starts 21 May 2016 12:00 AM
- Ends 10 June 2016 02:00 PM
- All times are (UTC+10:00) Brisbane
- No Admission Charge
Speakers
Martin Keetels of Konica Minolta
Aged Care: AI & Robotics - the Challenge & Opportunity
Martin will discuss the application for technology including robotics and artificial intelligence in the aged care environment. Drawing on his perspective as the Innovation Lead at Konica Minolta's Business Innovation Centre in Asia Pac, Martin will put on some VR glasses and look into the future of aged care
Biography:
Marty is a leader of the Konica Minolta Business Innovation Centre Asia Pac. Among other accomplishments, Marty led the business's investment in Clevertar and currently sits on its Board. He is building a team around Konica Minolta's investments and innovations in Australia. He assists the Australian business executing mergers, acquisitions and investments.
Marty was the recipient of the Australian Institute of Management’s Young Manager of the Year Award in December 2011.
Email:
Xue Li of University of Queensland
Big Data Fusion for Mining e-Health Data
In medical research and healthcare, there are many large data sets which are related to each other in terms of the clinical trials, medical research publications, Electronic Health Records (HER), annual health check-up records, and patient bed-side monitoring data. In this talk, we discuss our case studies and experiments on how we can connect the relevant medical and health data sets together to rank the most influential treatments for diseases, to predict the health states for ageing individuals, or to predict the risks of hospital patients. A graph-based data fusion approach will be introduced to represent the different types of relationships among data items and learn from data for predictions.
Biography:
Dr Xue Li is a Professor in DKE (Data and Knowledge Engineering) Division, School of Information Technology, the University of Queensland in Australia. He obtained a BSc in Computer Science in Chongqing University, China in 1982, a MSc in the University of Queensland in 1989, and a PhD in Information Systems in QUT 1997. His research interests are in data mining, intelligent information systems, and social computing. He has over 160 publications as monograph, edited books, book chapters, and journal and conference papers. He led his research team won prizes awarded by Google, Microsoft, International conferences, and the Australian Government in recent years. He is recognized as one of the Top-50 “Most Powerful People in Australia” in 2015 by Australian Financial Review. He has successfully supervised 16 PhD candidates to completion as their Principal Supervisor. He is currently a Chief Investigator for three ARC (Australian Research Council) Funding Projects. He is an Associate Editor of Journal of Advanced Internet of Things.
Email:
Martin Keetels of Konica Minolta
Aged Care: AI & Robotics - the Challenge & Opportunity
Biography:
Email:
Xue Li of University of Queensland
Big Data Fusion for Mining e-Health Data
Biography:
Email:
Agenda
13:50 ~ 14:00: Welcome and Introductions;
14:00 ~ 14:40: Presentation by Mr. Martin Keetels "Aged Care: AI & Robotics - the Challenge & Opportunity";
14:40 ~ 15:20: Presentation by Professor Xue Li "Big Data Fusion for Mining e-Health Data";
15:20 ~ 16:00: Discussions, refreshments;