Yanchun Zhang ( 张彦春）Professor, Director

Centre for Applied InformaticsVictoria University

中科院大学 千人计划 特聘教授

OutlineOutline

1.1.Introduction Introduction －－ myself and my career myself and my career pathpath

2.2.VU Research Focus and StrengthsVU Research Focus and Strengths3.3.Applied Informatics, Centre for Applied Applied Informatics, Centre for Applied

InformaticsInformatics4.4.Partnerships with Chinese Academics Partnerships with Chinese Academics

OrganizationsOrganizationsChinese Academic of Science (CAS)Chinese Academic of Science (CAS)Central China Normal University (CCNU)Central China Normal University (CCNU)Zhejiang University, NITZhejiang University, NITUniversity of Science and Technology of University of Science and Technology of

ChinaChina5.5.Future development and collaborationFuture development and collaboration

1. Myself1. Myself

1.1.11989-91: PhD in Computer Science, 989-91: PhD in Computer Science, University of Queensland, AustraliaUniversity of Queensland, Australia

2.2.91-93, Research Fellow, UQ91-93, Research Fellow, UQ3.3.94-2002, Lecturer-Associate 94-2002, Lecturer-Associate

Professor, University of Southern Professor, University of Southern QueenslandQueensland

4.4.2013—now, Professor, VU2013—now, Professor, VU5.5.2010- now, Director, CAI2010- now, Director, CAI6.6.2011-now, 2011-now, 10001000-Talent Professor, -Talent Professor,

UCAS (UCAS ( 千人计划特聘专家）千人计划特聘专家） ..

2. VU Research Focus Areas:

Applied informaticsCreative arts & writingDiversity & wellbeingEducation, diversity & lifelong learningFood & nutritional sciencesMedical & health sciencesSport, exercise & active livingStrategic economicsSupply chain, logistics & transportSustainable 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

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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, e-Business, e-Education, e-Community, e-Security etc.

Innovative e-Research

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Track Record and Research Profile International reputation in the research areas of data

management, 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.

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Research profileActive 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), 2010-2013  ($312,453+$100K)

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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.

Media Release Media Release

EnglishEnglishThe Australian, The Australian, The AgeThe Age ，， Canberra TimeCanberra Time ，， Brisbane TimeBrisbane Time ，， WA TodayWA Today ，， Sydney Morning HeroldSydney Morning Herold,, 。。。。。。。。 A few seconds can save patients‘ livesA few seconds can save patients‘ lives ，， www.theage.com.au (The Age, March 11, 2013) (The Age, March 11, 2013) Surgery made safer with program that predicts Surgery made safer with program that predicts

patients' vital signs patients' vital signs (The Australian, March 26, 2013)(The Australian, March 26, 2013)

中文新闻中文新闻：： China DailyChina Daily ，， ChinaNewsChinaNews ，， XinhuaNetXinhuaNet ，， 。。。。。。

澳华裔教授研发计算机程序提前澳华裔教授研发计算机程序提前 2020秒预测患者病况秒预测患者病况 -- 中新网中新网 华裔教授开发救命程序提前华裔教授开发救命程序提前 2020秒预测患者病况秒预测患者病况 華裔信息學家研發程式預測維生指數 華裔信息學家研發程式預測維生指數 - - 星島聯網星島聯網 。。。 Yanchun Zhang -> 张彦春 （（ not not 张燕春）张燕春）

手术中

智能中心

异常异常 ??

Y

13

Predicting Vital Signs

Chinese Academic of Science Chinese Academic of Science (CAS)(CAS)

Central China Normal Central China Normal University (CCNU)University (CCNU)

Zhejiang University, NITZhejiang University, NITUniversity of Science and University of Science and Technology of ChinaTechnology of China

。。。。。。

4. Partnerships with China4. Partnerships with China

Partners in China

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Joint Research Lab with CAS

.

VU-UCAS Joint Lab.

E-healthE-health covers many areas – covers many areas – like online diagnoses, like online diagnoses, electronic handling and electronic handling and accessibility of patient data, as accessibility of patient data, as well as diagnosis predictions well as diagnosis predictions and data mining, to name a and data mining, to name a few.few.

E-healthE-health covers many areas – covers many areas – like online diagnoses, like online diagnoses, electronic handling and electronic handling and accessibility of patient data, as accessibility of patient data, as well as diagnosis predictions well as diagnosis predictions and data mining, to name a and data mining, to name a few.few.

Social computingSocial computing research research targets the social environment targets the social environment and behaviour of the web and behaviour of the web community, which is growing community, which is growing rapidly with the advent of rapidly with the advent of social media.social media.

Social computingSocial computing research research targets the social environment targets the social environment and behaviour of the web and behaviour of the web community, which is growing community, which is growing rapidly with the advent of rapidly with the advent of social media.social media.

E-Health and Social Computing Laboratory is a joint-venture between Victoria University and the University of the Chinese Academy of Sciences (GUCAS).

VICTORIA UNIVERSITYMELBOURNE AUSTRALIA

E-HEALTH AND SOCIAL COMPUTING RESEARCH PROJECTS

GOOGLE MAPPING ENHANCEMENTGOOGLE 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.

GOOGLE MAPPING ENHANCEMENTGOOGLE 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 ANALYSIS OF GAIT PATTERNS FOR DETECTING RISK OF FALLINGDETECTING 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.

ANALYSIS OF GAIT PATTERNS FOR ANALYSIS OF GAIT PATTERNS FOR DETECTING RISK OF FALLINGDETECTING 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.

SOCIAL MEDIASOCIAL MEDIAMINING FOR PUBLICMINING FOR PUBLICEVENT DETECTIONEVENT DETECTION

Using textmining and analysis to revealthe health intelligence of special population, the outcome will benefit healthand wellbeing sectors bothnationally and internationally.

SOCIAL MEDIASOCIAL MEDIAMINING FOR PUBLICMINING FOR PUBLICEVENT DETECTIONEVENT DETECTION

Using textmining and analysis to revealthe health intelligence of special population, the outcome will benefit healthand wellbeing sectors bothnationally and internationally.

GP E-CONNECTGP E-CONNECT

In partnership with theAustralian Research Counciland Westgate GeneralPractice Network, GP E-connect aims to vastly improvemanagement of medicalrecords by allowing referralsand patient data to beintegrated for use by differentservice providers.

GP E-CONNECTGP E-CONNECT

In partnership with theAustralian Research Counciland Westgate GeneralPractice Network, GP E-connect aims to vastly improvemanagement of medicalrecords by allowing referralsand patient data to beintegrated for use by differentservice providers.

REAL-TIME STREAM DATA MINING FOR INTENSIVE CARE MANAGEMENTREAL-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.

REAL-TIME STREAM DATA MINING FOR INTENSIVE CARE MANAGEMENTREAL-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.

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Joint Research Lab with CAS

Research Team1 Post doctor Fellow4 PhD Students4 Master Students

FundingSeeding fund from CAS/VUNSFC Project fund

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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.

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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 …

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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, 2013-2014.

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5. Future Directions for CAI

Attracting high profile staff/researchers Recruiting strong PhD studentsCollaborating with colleagues Developing further international

collaborations