issue highlights - uts: advanced analytics institute

INNOVATION INNOVATION1

www.analytics.uts.edu.auThe Advanced Analytics institute | Big Data, Smarter Decisions

AAI Newsletter |

June 2013 Issue 4

NEWSLETTER

The Advanced Analytics institute | Big Data, Smarter Decisions

Issue Highlights:

2012 Herbert Simon Award for Outstanding Contribution in Information Technology and Decision Making

Professor Longbing Cao, director of the Advanced Analytics Institute, was recently selected for the 2012 Herbert Simon Award for Outstanding Contribution in Information Technology and Decision Making by the International Journal of Information Technology and

Decision Making. This award was presented together with Professor Ruwei Dai, an academician in the Chinese Academy of Sciences and Professor Cao’s former PhD supervisor.

SPECIAL HIGHLIGHTS

INNOVATION

“Analytics Cathedral” - Dr Usama Fayyad (former Yahoo! chief data officer and executive vice president of Research & Strategic Data Solutions; Chairman, co-Founder & CTO of ChoozOn Corporation)

It is very satisfying for the AAI to have been identified as a leading Institute within an Australian University, UTS for their research and contemporary work in the field of BIG DATA by the Australian Government Department of Finance and Deregulation.

“In Australia, the University of Technology Sydney has opened the Advanced Analytics Institute (AAI), a research institute that focuses on data and analytics science as well as evidence-driven decision making research. The AAI brings together researchers with a variety of backgrounds and aims to support and mentor generations of high-calibre analytics graduates. It has worked with a number of organisations and Australian Government departments including AMP, IBM, SAS, Microsoft Research, Nokia, Westpac, the ATO and DHS (Centrelink).”

On April 2013, Dr Usama Fayyad visited the cathedral style Blackfriars office of AAI. He enjoyed the ambiance of the office and commented he had never seen similar arrangements in any other places. He called the AAI office an “Analytics Cathedral”, and appreciated the AAI’s RED Analytics business model by focusing on high quality Research, high calibre analyst Education, and high impact Development in advanced Analytics. Dr Fayyad generously offered his advice and support to the AAI strategic development.

Special mention of AAI in the 2013 Australian Government Big Data Strategy - Issues Paper

Awards

Big Data Strategy - Issues Paper, © Commonwealth of Australia 2013, <http://agimo.gov.au/files/2013/03/Big-Data-Strategy-Issues-Paper1.pdf>

SPECIAL HIGHLIGHTS

INNOVATION

COLLABORATION

EDUCATION

NETWORKING

THE AAI TEAM

BIG DATA ANALYTICS EVENTS

Special Mention“Analytics Cathedral”

AwardsPapers AwardedJournal Papers PublishedConference Papers Published

Canberra BreakfastForum CanberraBig Data SchoolBig Data Summit

Short Courses in Advanced AnalyticsProfessor Piccardi’s Lecture SeriesAAI Seminar Series

PAKDD2013Invited SpeechesInternational Visitors

UTS DVSVisiting AcademicVisiting StudentsNew Members

Australian Taxation OfficeUTS Improved Student Intake and Marketing Nokia Research Centre



AAI Newsletter |

Papers Awarded

Jinjiu Li - Best Student Paper: PAKDD13

Li, J., Wang, C., Wei, W., Li, M. and Liu C. Efficient mining of contrast patterns on large scale imbalanced real-life data, In: PAKDD 2013, pp. 62-73.

Longbing Cao. Combined Mining: Analyzing Object and Pattern Relations for Discovering and Constructing Complex but Actionable Patterns, WIREs Data Mining and Knowledge Discovery, 3(2): 140-155, 2013

Bo Liu, Yanshan Xiao, Philip S Yu, Longbing Cao. An Efficient Approach for Outlier Detection with Imperfect Data Labels, IEEE Transactions on Knowledge and Data Engineering

Bo Liu, Yanshan Xiao, Philip S Yu, Longbing Cao. Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams, IEEE Transactions on Knowledge and Data Engineering

Yanshan Xiao, Bo Liu, Longbing Cao, Zhifeng Hao. Boundary Embedded Nonparallel Plane Classification, IEEE Transactions on Neural Networks and Learning Systems

Yanshan Xiao, Bo Liu, Zhifeng Hao, Longbing Cao. Similarity-Based Classification Framework For Multiple-Instance Learning, IEEE Transactions on Cybernetics

Cheng Wang, Longbing Cao, Baiqi Miao. Optimal Deature Selection for Sparse Linear Discriminant Analysis and Its Applications in Gene Expression Data, Computational Statistics and Data Analysis

Cheng Wang, Jing Yang, Baiqi Miao, Longbing Cao. Identity Tests for High Dimensional Data Using RMT, Journal of Multivariate Analysis

Guandong Xu, Yu Zong, Ping Jin, Rong Pan, Zongda Wu, KIPTC: A Kernel Information Propagation Tag Clustering Algorithm, International Journal of Intelligent Information System

Zongda Wu, Guandong Xu, Position-wise contextual advertising: Placing relevant ads at appropriate positions of a web page, neurocomputing

Xinwang Liu, Jianping Yin, Lei Wang, Lingqiao Liu, Jun Liu, Chenping Hou and Jian Zhang, “An Adaptive Approach to Learning Optimal Neighborhood Kernels” IEEE Transactions on Systems, Man, and Cybernetics, Part B, Vol. 43. Issue 1, pp. 371-384, February 2013

Shiyang Lu, Jian Zhang, Zhiyong Wang and David Dagan Feng, “Fast Human Action Classification and VOI Localization with Enhanced Sparse Coding”, Journal of Visual Communication and Image Representation, Vol 24, Issue 2, pp. 127-136, February, 2013

Worapan Kusakunniran, Qiang Wu, Jian Zhang, Yi Ma, and Hongdong Li: A New View-Invariant Feature for Cross-View Gait Recognition, IEEE Transactions on Information Forensics and Security 2013

P Chen, J Li, L Wong, H Kuwahara, J Huang, X Gao. Accurate prediction of hot spot residues through physicochemical characteristics of amino acid sequences, Proteins, 2013 March 16. doi: 10.1002/prot.24278. [Epub ahead of print]

Yuanchun Zhou, Minjie Tang, Weike Pan, Jinyan Li, Weihang Wang, Jing Shao, Liang Wu, Jianhui Li, Qiang Yang, Bao-ping Yan. Bird Flu Outbreak Prediction via Satellite Tracking, IEEE Intelligent Systems, 26 April 2013

Conference Papers Published

Can Wang, Zhong She, Longbing Cao. Coupled Attribute Analysis on Numerical Data, IJCAI 2013

Liang Hu, Jian Cao, Guandong Xu, Jie Wang, Zhiping Gu, Longbing Cao. Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis, IJCAI2013

Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Can Zhu. Cross-Domain Collaborative Filtering Triadic Factorization, WWW 2013

Yin Song, Longbing Cao, Yin Junfu and Wang Cheng. Extracting Discriminative Features for Identifying Abnormal Sequences in One-class Mode, IJCNN 2013

Xin Cheng, Duoqian Miao, Can Wang, Longbing Cao. Coupled Term-Term Relation Analysis for Document Clustering, IJCNN2013

Journal Papers Published



AAI Newsletter |

Wei Cao, Longbing Cao, Yin Song. Coupled Market Behavior Based Financial Crisis Detection, IJCNN2013

Wei Li, Longbing Cao, Dazhe Zhao. CRNN: Integrating Classification Rule and Neural Network, IJCNN 2013

Wu Liang, Alvin Chin, Guandong Xu, Liang Du, Xia Wang, Kangjian Meng,Yonggang Guo, Yuanchun Zhou. Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers, DASFAA 2013

Shu Wang, Jian Zhang, Zhenjiang Miao. A New Edge Feature For Head-Shoulder Detection, ICIP 2013

Jingsong Xu, Qiang Wu, Jian Zhang, Fumin Shen, Zhenmin Tang.Training Boosting-Like Algorithms with Semi-Supervised Subspace Learning, ICIP 2013

Worapan Kusakunniran, Shinichi Satoh Jian Zhang and Qiang Wu. Attribute-based Learning for Large Scale Object Classification, ICME 2013

Behavior Computing: Modeling, analysis, mining and decision

Edited by Longbing Cao, Philip S. YuPublisher: Springer

The field of behavior computing opens up the opportunity for breakthrough advances, discoveries and advanced knowledge to come from outside of social sciences. Behavior Computing effectively contextualizes statistical and machine learning tools in a series of 23 very interesting chapters embracing models, scenarios and case studies thematically connected with behavior computing. The end result is a highly presentable book for a wide-ranging audience inclusive of final-year undergraduates or postgraduate students. However, the book requires familiarity with machine learning algorithms and analysis of large datasets and may just prove to be a catalyst for social scientists to leave behind existing pastures and embrace the field of behaviour computing.Longbing Cao is the director of UTS Advanced Analytics Institute and a professor of Information Technology. Behaviour Computing is his sixth book.

Books Published

Applied Data Mining June 2013

Edited by Guandong Xu, Yu Zong and Zhenglu YangPublisher: CRC Press

Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between traditional data mining and the latest advances in newly emerging information services. It explores the extension of well-studied algorithms and approaches into these new research arenas.

Social Media Mining and Social Network Analysis: Emerging ResearchJanuary 2013

Edited by Guandong Xu & Lin LiPublisher: IGI Global

Social Media Mining and Social Network Analysis: Emerging Research highlights the advancements made in social network analysis and social web mining and its influence in the fields of computer science, information systems, sociology, organization science discipline and much more. This collection of perspectives on developmental practice is useful for industrial practitioners as well as researchers and scholars.



AAI Newsletter |

New projects with Australian Taxation Office

Following the pilot success of the previous project at ATO, Professor Longbing Cao and his team on government analytics recently received two new contract research projects from the Australian Taxation Office. A team of five AAI researchers, including Dr Zhigang Zheng, Mr David Wei, Dr Allen Lin, Ms Wei Cao and Mr Chunming Liu, are now working at the ATO Sydney office closely with the ATO domain experts and business leaders. Professor Cao and his team have been working with ATO business experts and data analysts on an in-depth understanding of taxpaying behaviours to strengthen ATO compliance. New project for improving the University’s intake and marketing

Professor Longbing Cao and his team on educational data mining have recently received another project from UTS to conduct deep data analytics on the University’s admissions centre’s data and relevant information for improving student intake and better marketing. The AAI team on educational data mining, including Dr Yuming Ou, Mr Jinjiu Li, Mr Mu Li and Mr Chunming Liu, has been researching on learning behaviour analysis, academic and risk analysis, early prediction of academic risk, sentiment analysis on educational data for improving student needs and learning performance since 2009. Two systems are now being used at UTS. Professor Cao is also the Chair of the IEEE Task Force on Educational Data Mining.

Project extension with Nokia Research Centre in Finland

Based on their performance and research progress, Associate Professor Jian Zhang and his team on 3D image processing have secured new research funding for 2013 after the research collaboration with Nokia in 2012. The AAI team on 3D image processing and matching between the high quality density and low quality 3D images made substantial progress in 2012. This year, they will aim to develop new technology and propose 3D image processing workshop in conjunction to IEEE international conference on Computer Vision. This research is supported by Nokia research for future mobile applications.

COLLABORATION BIG DATA EVENTS

Thursday 11 April 2013 Big Data Analytics Breakfast Canberra

This invitation only breakfast was an exclusive opportunity for representatives from the Federal Government Departments and businesses in Canberra to talk to recognised leaders in this area, including Dr Usama Fayyad, one of the key founders of data mining; Dr Brian Pink, Australian Statistician and Professor Longbing Cao, director of UTS Advanced Analytics Institute, and to collaborate with other experts in this area.

Dr Usama Fayyad presenting

Thursday 11 April 2013Big Data Analytics Forum Canberra

In the Big Data Canberra Forum 80+ government and industrial attendees were addressed by Dr Usama Fayyad, Professor Longbing Cao and Dr Brian Pink and able to explore the challenges, opportunities and areas for collaboration in big data and advanced analytics. The event aimed to help shape and develop a greater understanding of the next-generation of data science innovation as well as envisaging creative big data-enriched government, industry and education in Australia. UTS Deputy Vice Chancellor (Research), Professor Attila Brungs opened the Forum. The Associate Dean (Research) of the Faculty of Engineering and IT at UTS, also the Program Leader of the AAI Research Program on Smart Living Technology, Professor Mary-Anne Williams chaired the Forum.



AAI Newsletter |

Professor Limsoon Wong, National University of Singapore

Attila Brungs - UTS DVC (Research) at Forum Canberra

Wednesday 10 – Thursday 11 April 2013AAI Big Data School

The Big Data School provided an educational platform for post-graduate students and young researchers and data engineers, data technicians and Data Scientists in Industry in the areas of data mining, machine learning and analytics.

80+ attendees were delighted to learn from a strong line up of local and International presenters. They are:

Longbing Cao, Advanced Analytics Institute, Australia Limsoon Wong, National University of Singapore, Singapore Ross Farrelly, Teradata Australia & New Zealand, Australia Kai Ming Ting, Monash University, Australia Richard Xu, University of Technology, Sydney, Australia Geoff Webb, Monash University , AustraliaVenky Krishnan, Adobe, Australia Jaideep Srivastava, University of Minnesota, USAGeorge Karypis, University of Minnesota, USA

Friday 12 April 2013AAI Big Data Summit

AAI’s 2013 Big Data Summit was a milestone in staging a Big Data Summit in Australia providing a catalyst for the Big Data Roadmap for Australian Government, Industry and Business.

This exciting gathering aimed to communicate the Australian perspective on big data challenges, opportunities and collaborations. Furthermore, the event helped towards understanding and shaping the next-generation of data science innovation as well as envisaging creative big data-enriched government, industry, business and education in Australia.

100+ attendees were delighted to learn from a strong line up of local and International presenters. The Summit received support and sponsorship from University of Technology Sydney, Teradata, University of Queensland, Monash University, University of South Australia, University of Melbourne, Queensland University of Technology and University of Canberra.

Keynote speakers:Philip Yu, University of Illinois, Chicago

Usama M. Fayyad, Chairman & CTO of ChoozOn Corporation/Blue Kangaroo (Formerly of YAHOO)

Brian Pink, Australian Statistician

Invited speakers:Longbing Cao, UTS Advanced Analytics Institute, Australia

Klaus Felsche, Director, Intent Management and Analytics, Department of Immigration and Citizenship, Australian Immigration Department

Evan Stubbs, Chief Analytics Officer, SAS Australia

Alexandros Batsakis, Teradata-Aster, Teradata

Michael Harrington, Department of Financial Services, NSW Government

Geoff Webb, Monash University

Annette Slunjski, General Manager, Lucidity Marketing Communications

Leif Hanlen, NICTA

Patrick Shearman, Group General Manager Information Management, HCF Australia.



AAI Newsletter |

Audience at Big Data Summit

Philip Yu, University of Illinois, Chicago

Dr Usama Fayyad

Klaus Felsche, Australian Immigration Dept

Annette Slunjski, Lucidity Marketing Communications

Dr Brian Pink, Australian Statistician

Leif Hanlen, NICTA

Patrick Shearman, HCF Australia



AAI Newsletter |

Evan Stubbs, SAS Australia

Dr Alexandros Batsakis, Teradata

Michael Harrington, NSW Government

Geoff Webb, Monash University

Sydney MongoDB Meetup30 April 2013

Dr Xinhua Zhu and Dr Suresh Sood presented a deep dive of a social media discovery engine under development at AAI as a skunk works. The event was held at Fishburners amongst an intimate group of developers. The talk was titled "The Journey to MongoDB : Trajectory Pattern Mining in Australian Instagram" discussing the work of the Advanced Analytics Institute and a social media analytics case study inspiring ongoing MongoDB development.

Big Data Marketing at University of Western Sydney

Dr Suresh Sood presented as a guest on the topic of Big Data Marketing at the University of Western Sydney on 9 May. He discussed with undergraduate students the challenges being faced by marketers and the opportunity big data brings to marketing. The opportunity provided the ability to showcase the AAI as a world class institute.

Sydney MongoDB Meetup



AAI Newsletter |

AAI Short Courses and Executive Traning in Advanced Analytics and Data Science

Commencing in late June 2013, AAI’s new Education and Training Program will offer a broad and diverse spectrum of subjects, seminars and workshops to cater for the academia and industry requirements, in addition to the national and international leading Master of Analytics (Research) and PhD degrees in Analytics courses.

Advanced Analytics Education and Training Program Structure:

EDUCATION

Current short course:

Advanced Data Analytics - an IntroductionThis program is particularly useful for all those involved in BIG DATA for their organisation:StudentsResearchersAcademicsIndustry Practitioners

Date: Tuesday 25 June, 2013 Venue: UTS Short Courses VenueFor enquiries and booking, please contact [email protected] or Colin Wise 9514 9267

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Fundamental Theory and Knowledge

Behaviour and Social Analytics

Community Analytics

Financial and Marketing Analytics

Bioinfomatics and Biomedical Analytics

Multimedia & New Media Analytics Module

Pervasive Analytics & Smart Living Technologies

Others

Data Mining & Machine LearningStatistics & Probability

OptimizationBusiness Operation

Bahaviour AnalyticsSocial Analytics

RiskAnalyticsWeb Analytics

Learning Data AnalyticsSocial Collective Intelligence

Public Sector AnalyticsEnergy Data Analytics

Fraud DetectionSmart Trading & Surveillance in Financial Marketing

Marketing AnalyticsRecommender Systems

BioinformaticsBiomedical Data Mining

Healthcare Analytics

New Media AnalyticsMobile Analytics

Data Surveillance Through High-Speed Broadband Networks

Internet of Things and AnalyticsSmart Home & Ambient Computing

Cyberphysics Systems

Compliance Analytics

Research Methodology in AnalyticsAnalytics Project Management

Governance AnalyticsLegal Analytics



AAI Newsletter |

AAI Seminar Series

The AAI Seminar series is attracting a strong degree of interest from internal and external stakeholders. A summary of some recent presentations is provided below.

Adversarial Knowledge Discovery

Professor David Skillicorn, School of Computing, Queen's University, Canada

Professor Skillicorn spoke on conventional knowledge discovery, models are built to maximise the fit with given data. In adversarial settings, where the interests of those doing the modeling and some of those being modeled are not aligned, maximising fit is a terrible strategy because it can be anticipated. Knowledge discovery techniques need to be built from the ground up in a different way.

Trace-Based Reasoning: Combining Case-Based Reasoning and Traces to Reason on Experiences

Amélie Cordier, Associate Professor, University of Lyon, France

Associate Professor Cordier

presented on the emerging concept of Trace-Based Reasoning. Trace-Based Reasoning is an Artificial Intelligence methodology for solving various problems. The specificity of Trace-Based Reasoning is that it uses traces (i.e. sequential records of events) as a rich knowledge source for the reasoning process.

Knowledge Discovery for Computational Intelligence Research@ UC (KDCIR)

Professor Dharmendra Sharma, Faculty of Education, Science, Technology and Mathematics, University of Canberra

The presentation summarised KDCIR research motivated by problems from optimisation, planning, training – performance modelling in elite sports (cycling), obesity / diabetes modelling, renal transplantation, stress / depression modelling, education analytics and cyber security.

A Fast Semi Definite Approach to Solving Binary Quadratic Problems

Dr Chunhua Shen , School of Computer Science, The University of Adelaide

This pesentation highlighted computer vision problems can be formulated as binary quadratic programs (BQPs). Two classic relaxation methods are widely used for solving BQPs, namely, spectral methods and semidefinite programming (SDP), each with their own advantages and disadvantages.

Professor Piccardi's Lecture Series

From March to May 2013 Professor Piccardi delivered a series of lectures on statistical pattern recognition at the AAI. Weekly lectures included Recalls of probability theory, Density estimation, Dimensionality reduction, and Bayesian classification.

Information and enquiries about this publication should be directed to Colin Wise 9514 9267 or email: [email protected]



AAI Newsletter |

Invited Speeches

Professor Longbing Cao spoke on Complex Sequential Data Analysis at the International Conference on Reliability, Infocom Technologies and Optimization (ICRITO’2013), 28-30 Jan 2013, Noida, India.

At the 11th International Conference on Practical Applications of Agents and Multi-Agent Systems, 22-24 May, 2013, Salamanca, Spain, Professor Longbing Cao was invited to speak on the topic Agent Mining: The Synergy of Multiagent Systems and Data Mining. Dr Guandong Xu was invited to speak on Data Mining for Recommender Systems, at the 8th International Conference on Advanced Data Mining and Applications (ADMA 2012), 15th-18th December 2012, Nanjing , China.

Dr Suresh Sood was one of three key speakers at the Next Intelligence session held in the UTS University hall on 25 April 2013.

Audience at PAKDD2013

NETWORKING

PAKDD2013

PAKDD2013 was managed by around 30 key organizers spread around the world, in which Professor Longbing Cao, director of AAI was one of the conference co-chairs. UTS and the AAI received significant positive exposure at the PAKDD2013 with a number of the attendees also attending the Big Data School and Summit in Sydney.

The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the areas of data mining and knowledge discovery (KDD). It provides an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, and decision-making systems.

PAKDD 2013 was held between 12/04/2013 and 17/04/2013 at Gold Coast, Australia. One day workshop, two and a half days main session and half day excursion and banquet were included in the event.

Dr Xinhua Zhu acted as the local arrangement co-chair. More than 250 people attended the event. Dr. Usama Fayyad, Professor Huan Liu and Professor Qiang Yang gave keynote speeches and Dr. Alexandros Batsakis was an invited speaker. Seven volunteers from UTS AAI assisted in the event. They were Dr Guandong Xu, Ms Can Wang, Mr Zhong She, Mr Junfu Yin, Mr Wei Li, Mr Jinjiu Li and Mr David Wei. Sponsors and partners included Teradata, University of Queensland, Monash University, University of South Australia, University of Melbourne, Queensland University of Technology, University of Canberra, etc. Conference venue was at Surfers Paradise Marriott Resort & Spa.

Associate Professor Zhang giving a speech at NUST

In his recent trip to China, Associate Professor Jian Zhang was invited to give a talk at the International Research Forum, in Nanjing University of Science and Technology on 19 May 2013. He also gave talks in Beijing Institute of Technology (BIT) and Xidian University in Xian.

Associate Professor Jian Zhang joined Jeffery Francis – RIO director of UTS for a visit to Northeastern University in China for exploring opportunities for research collaboration as contemplated in the MOU.

Dr Xinhua Zhu (AAI core member) presented at a recent David Phillips – MCU, Ultimo Coffee Mornings, where a group of UTS staff and students would meet every two weeks in Ultimo to discuss social media (and mobile) and how it affects our work.* A demonstration of how to use the various features of Instagram* Special guest Dr Xinhua Zhu presented some of his work analysing user data on Instagram.



AAI Newsletter |

International Visitors

North East University (NEU), China Delegation's Visit to UTS in Jan 2013

AAI hosted a morning tea for our esteemed colleagues from NEU.

Objective of the visit was to investigate the infrastructure and building construction of UTS, and a tour to our buildings because they were very impressed by our building design when they visited in October, 2012 as NEU itself is undergoing a big campus development plan.

Students visiting from Michigan University’s Ross School of Business in Ann Arbour received presentations from Drs Zhu and Sood. The materials covered include Australia’s social media usage and Data Science as a Career. Students were given a sneak preview of the Australian Instagram and Trajectories project engineered by Dr Xinhua Zhu and due for public launch in June/July 2013. Dr Nigel Bairstow accompanied the students from the UTS Business School, Marketing Discipline Group.

North East University delegates and AAI members

Students from Michigan University’s Ross School of Business

UTS Distinguished Scholars

Dr Usama Fayyad

Dr Usama Fayyad, UTS Distinguished Visiting Scholar, was invited by Professor Longbing Cao to visit AAI and Australia from 9 April to 18 April 2013.

Dr Fayyad attended the Big Data Analytics Canberra Breakfast on 11 April as a VIP guest and commented on big data opportunities for Australian government and industries. He delivered keynote speeches on The What, Why, How of Big Data: Opportunities in On-line Predictive Analytics to the Big Data Analytics Forum Canberra on 11 April in Canberra, the Big Data Summit on 12 April in Sydney, and the PAKDD 2013 conference in Gold Coast, a series of big data events founded/chaired by Professor Longbing Cao and hosted by AAI. Dr Fayyad’s series of talks on big data analytics ignited much enthusiasm in big data research, education and development in the Australian communities.

THE AAI TEAM

Professor Philip Yu

UTS Distinguished Visiting Scholar, Professor Philip S Yu, visited UTS on 10 April 2013 to 19 April 2013. Professor Yu was invited by Professor Chengqi Zhang, the director of the Centre for Quantum Computation and Intelligent Systems (QCIS). Professor Yu delivered a keynote speech at the Big Data Summit about ‘On Mining Big Data’. He also attended the QCIS International Advisory Board meeting. Professor Yu is an adjunct professor at UTS. He has been collaborating with ProfessorLongbing Cao on a number of Australian Research Council Discovery grants and activities, including the most recent ARC DP13 awarded for 2013-2015 on “Modelling and

discovering complex interaction relations hidden in group behaviours in businesses, online and social communities”.



AAI Newsletter |

Visiting Academics

Dr Qian LIU Dr Qian Liu commenced his postdoctoral research appointment in AAI on 18 March 2013. He is doing research with Associate Professor Jinyan Li. His research topics include structural bioinformatics and collaborating correlation pattern mining in time-course data. His appointment is for 18 months till 18 September 2014.

Dr Jianchao Tang

Dr Jianchao Tang commenced her visiting fellow appointment in AAI on 20 February 2013. She is a lecturer from South China Normal University, and doing research with Professor Longbing Cao. Her research focuses on data mining, project scheduling and artificial intelligence. Her

appointment is for 12 months till 19 February 2014.

Visiting Students

Furong Peng

Visiting PhD. Student Furong Peng comes from Nanjing University of Science and Technology. His research topics include 3D point cloud registration and cross domain image

retrieval. His appointment is for 12 months till Jan 2014.

Gia Tuan Ngo Gia Thuan Ngo commenced his Honours research appointment in AAI in February 2013. He is working under supervision of Associate Professor Jian Zhang and JingSong Xu. His research topic is on accurate people counting in crowded environments. His appointment is for 9 months until November 2013.

New MembersPhD Students

Mr Dong YU Mr Dong YU commenced his doctoral research in AAI on 7 March 2013. He is doing research with Professor Longbing Cao. His research topics include tensor method application in vision and collaborating correlation pattern mining.

Mr Shangrong Huang

Shangrong Huang received his bachelor at Zhejiang University, China, and Master at Techinische Universitaet Darmstadt, Germany. He is now a PhD

student in AAI under the instruction of Associate Professor Jian Zhang. His research interests include social network, recommendation system and information retrieval.

Mr Liang Hu

Visiting PhD. Student Liang Hu comes from Shanghai Jiaotong University. His research is under supervision of Dr. Guandong Xu on topics of Recommender Systems, Machine Learning and Information Retrieval. His appointment is for 12 months till Feb 2014.

Master of Analytics (Research) Student

Ms Mayanne Lafontaine

We welcome to Mayanne Lafontaine who is undertaking the UTS Master of Analytics (Research), part time. Mayanne is the Program Manager, Tobacco Control at the Cancer Institute NSW. She has been involved in over eighteen public education campaigns and led the development of the iCanQuit website which now supports a growing online community of quitters, and is the focus of her research. Completed a Masters of Internet Communication and interested in the use of new technologies in health.

issue highlights - uts: advanced analytics institute

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