Download YanchunZhangVU-ChinesePartnerConf-CAI2013

Yanchun Zhang (张彦春）
Professor, Director
Centre for Applied Informatics
Victoria University
中科院大学 千人计划 特聘教授
Outline
1.
Introduction － myself and my career
path
2. VU Research Focus and Strengths
3. Applied Informatics, Centre for
Applied
Informatics
4. Partnerships
with
Chinese
Academics
Organizations
 Chinese Academic of Science (CAS)
 Central China Normal University (CCNU)
 Zhejiang University, NIT
 University of Science and Technology of China
5. Future development and collaboration
1. Myself
1. 1 989-91:
PhD in Computer Science,
University of Queensland, Australia
2.91-93, Research Fellow, UQ
3.94-2002, Lecturer-Associate Professor,
University of Southern Queensland
4.2013—now, Professor, VU
5.2010- now, Director, CAI
6.2011-now, 1000-Talent Professor, UCAS (千
人计划特聘专家）.
2. VU Research Focus Areas:
 Applied informatics
 Creative arts & writing
 Diversity & wellbeing
 Education, diversity & lifelong learning
 Food & nutritional sciences
 Medical & health sciences
 Sport, exercise & active living
 Strategic economics
 Supply chain, logistics & transport
 Sustainable environmental technologies
VU’s ratings in 2012 ERA:
The highest rating of 5 (well above world standard) in:
 electrical and electronic engineering
 human movement and sports science
 pharmacology and pharmaceutical sciences.
A rating of 4 (above world standard) in:
 applied mathematics
 medical physiology.
A rating of 3 (world standard) in:
 artificial intelligence and image processing
 distributed computing
 chemical engineering
 civil engineering
 food sciences
 nursing
 social work
 psychology
 performing arts and creative writing
 cultural studies
3. Centre for Applied Informatics
 Research group in computing and information
technology and IT applications.
 One of VU's areas of research strengths
 Engaging computer scientists, domain experts in
application areas, industry and government partners
to develop innovative information technology and
applications to benefit the society.
 e-Research projects: e-Health, e-Environment, eBusiness, e-Education, e-Community, e-Security etc.
5/8/2017
6
Y. Zhang
Innovative e-Research
Track Record and Research Profile
 International reputation in the research areas of data management,




5/8/2017
web service, web/data mining, and e-research.
Collaboration among experts from different domains, in particular in
ICT area, and its applications in health care, environment studies,
business process and legal information management.
funded by a number of Australian Research Council grants, such as
Discovery & Linkage Projects. The centre also attracts a large amount of
funding from external bodies.
Made strong impact through applications and collaborations with
governments and industrial organizations such as the Royal Brisbane
and Women’s Hospital, World Health Organization and Tasmanian
Department of Health and Human Services, Australian e-Health
Research Centre.
Has established close and broad relationships with institutional and
industrial partners and research networks.
8
Y. Zhang
Research profile
Active research areas: Data Mining, Data Management,
Web service, Health informatics, ….
Current ARC Funding： 1 DP Project， 1 DECRA， 2 LP
Projects & 1 Australia - China Special Fund：
 Zhang, Yi, He, Steyn, Taraporewalla, Cao Real-time and
Self- Adaptive Stream Data Analyser for Intensive Care
Management, ARC Linkage Project (LP100200682),
2010-2013 ($345,000+ $120K)
 Y. Miao and Y. Zhang, Data Exchange and Service
Integration with Applications in Health Information
Systems, ARC Linkage Project (LP100100624), 20102013 ($312,453+$100K)
5/8/2017
9
Y. Zhang
 ARC DP: Zhang, He and de Souza, Using Data Mining
Methods to Remove Uncertainties in Sensor Data
Streams, ARC DP, $270K (2013-2014 )
 DECRA DECRA Fellow: He, Accurate Abnormality
Detection in Online and Multiple Time Series, $345K (
2013-2015)
 1 Australia-China Special Fund for research
collaboration with University of Science and Technology
of China (2013): $42K.
5/8/2017
10
Y. Zhang
Media Release
English
The Australian, The Age， Canberra Time，
 Brisbane Time， WA Today，
Sydney Morning Herold, 。。。。
 A few seconds can save patients‘ lives，
 www.theage.com.au (The Age, March 11, 2013)
 Surgery made safer with program that predicts patients' vital signs
(The Australian, March 26, 2013)
中文新闻： China Daily， ChinaNews， XinhuaNet， 。。。




澳华裔教授研发计算机程序提前20秒预测患者病况-中新网
华裔教授开发救命程序提前20秒预测患者病况
華裔信息學家研發程式預測維生指數 - 星島聯網
。。。 Yanchun Zhang -> 张彦春 （not 张燕春）
手术中
智能中心
异常?
Y
13
Predicting
Vital Signs
4. Partnerships with China
 Chinese Academic of Science (CAS)
 Central China Normal University
(CCNU)
 Zhejiang University, NIT
 University of Science and Technology
of China
 。。。
Partners in China
Joint Research Lab with CAS
.
5/8/2017
17
Y. Zhang
VU-UCAS Joint Lab.
E-Health and Social Computing
Laboratory is a joint-venture between
Victoria University and the University
of the Chinese Academy of Sciences
(GUCAS).
VICTORIA UNIVERSITY
MELBOURNE AUSTRALIA
E-health covers many areas –
like online diagnoses, electronic
handling and accessibility of
patient data, as well as diagnosis
predictions and data mining, to
name a few.
Social computing research
targets the social environment
and behaviour of the web
community, which is growing
rapidly with the advent of social
media.
E-HEALTH AND SOCIAL COMPUTING RESEARCH
PROJECTS
SOCIAL MEDIA
MINING FOR
PUBLIC
EVENT DETECTION
Using text
mining and analysis
to reveal
the health
intelligence of
special population,
the outcome will
benefit health
and wellbeing
sectors both
nationally and
internationally.
GOOGLE MAPPING ENHANCEMENT
Software that taps into Google Maps technology
to identify healthcare needs by geographical
location enabled the Tasmanian Department of
Health Services to better use its hospitalisation,
death, cancer incidence and diseases data for
monitoring and surveillance of the health of
Tasmanian residents.
ANALYSIS OF GAIT PATTERNS FOR DETECTING
RISK OF FALLING
Analyzing gait (walking) patterns to evaluate
walking performance can detect abnormalities and
identify those at risk of falling. This aims to tackle
a major public health issue in Australia, costing
the community around $2.4 billion each year.
GP E-CONNECT
In partnership with the
Australian Research
Council
and Westgate General
Practice Network, GP
E-connect aims to
vastly improve
management of
medical
records by allowing
referrals
and patient data to be
integrated for use by
different
service providers.
REAL-TIME STREAM DATA MINING FOR INTENSIVE CARE MANAGEMENT
In partnership with the Royal Brisbane and Women’s Hospital and the Australian Research Council, software is
being developed that allows surgeons and anesthetists to monitor and predict risks to patients during surgery by
comparing their past health records with immediate health-related information, such as current blood pressure and
heart rate. It can also compare a patient’s data to other patients’ to predict and prevent life-threatening incidents.
Joint Research Lab with CAS
Research Team
1 Post doctor Fellow
4 PhD Students
4 Master Students
Funding
Seeding fund from CAS/VU
NSFC Project fund
5/8/2017
20
Y. Zhang
Joint Research Centre with Zhejiang
University NIT
 Jointly recruit post doctorial research fellows
 Staff exchange program: the staff members are
encouraged to visit the other party for research
cooperation.
 Student exchange program: the students are
encouraged to visit the other party for exchanging
learning experience.
5/8/2017
21
Y. Zhang
Joint PhD supervision with CCNU
 Two CSC PhD Scholarship Students in Information
Technology from CCNU to enrol at VU, Tuition fee
waived from VU, Co-supervised by VU and CCNU staff
 Collaborative Research projects
 …
5/8/2017
22
Y. Zhang
Australia － China Special Fund for
research collaboration with USTC
Joint research work with a number of publications
Y. Zhang, G. Xu, E. Chen and Y. Zong, Spatiotemporal identification of
health events and complex event processing, Australia-China Science and
Research Fund (ACSRF), DIISRTE, Australia Government, $49,621, 20132014.
5/8/2017
23
Y. Zhang
5. Future Directions for CAI
 Attracting high profile staff/researchers
 Recruiting strong PhD students
 Collaborating with colleagues
 Developing further international collaborations
5/8/2017
24
Y. Zhang