AAI Newsletter | 1 INNOVATION INNOVATION SPECIAL HIGHLIGHTS
Special mention of AAI in the 2013 Australian Government Big Data Strategy - Issues Paper It is very satisfying for the AAI to have been identified as a leading Institute within an Australian University, UTS for their research NEWSLETTER and contemporary work in the field of BIG DATA by the Australian Government Department of Finance and Deregulation.
June 2013 Issue 4 “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 Issue Highlights: making research. The AAI brings together researchers with a variety of backgrounds and aims to support and mentor generations of SPECIAL HIGHLIGHTS high-calibre analytics graduates. It has worked with a number of Special Mention organisations and Australian Government departments including “Analytics Cathedral” AMP, IBM, SAS, Microsoft Research, Nokia, Westpac, the ATO and DHS (Centrelink).” INNOVATION Big Data Strategy - Issues Paper, © Commonwealth of Australia 2013, Awards
EDUCATION Awards Short Courses in Advanced Analytics 2012 Herbert Simon Award for Outstanding Contribution in Professor Piccardi’s Lecture Series Information Technology and Decision Making AAI Seminar Series Professor Longbing Cao, NETWORKING director of the Advanced PAKDD2013 Analytics Institute, was Invited Speeches recently selected for the 2012 Herbert Simon Award International Visitors for Outstanding Contribution in Information Technology THE AAI TEAM and Decision Making by UTS DVS the International Journal of Visiting Academic Information Technology and Visiting Students Decision Making. This award was presented together with Professor New Members Ruwei Dai, an academician in the Chinese Academy of Sciences and Professor Cao’s former PhD supervisor.
The Advanced Analytics institute | Big Data, Smarter Decisions www.analytics.uts.edu.au
The Advanced Analytics institute | Big Data, Smarter Decisions AAI Newsletter | 2
INNOVATION INNOVATION Zongda Wu, Guandong Xu, Position-wise contextual Papers Awarded advertising: Placing relevant ads at appropriate positions of a web page, neurocomputing Jinjiu Li - Best Student Paper: PAKDD13 Xinwang Liu, Jianping Yin, Lei Wang, Lingqiao Liu, Jun Liu, Chenping Hou and Jian Zhang, “An Adaptive Li, J., Wang, C., Wei, W., Approach to Learning Optimal Neighborhood Li, M. and Liu C. Efficient Kernels” IEEE Transactions on Systems, Man, and mining of contrast patterns Cybernetics, Part B, Vol. 43. Issue 1, pp. 371-384, on large scale imbalanced February 2013 real-life data, In: PAKDD 2013, pp. 62-73. 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 Journal Papers Published Image Representation, Vol 24, Issue 2, pp. 127-136, February, 2013 Longbing Cao. Combined Mining: Analyzing Object and Pattern Relations for Discovering and Worapan Kusakunniran, Qiang Wu, Jian Zhang, Yi Constructing Complex but Actionable Patterns, Ma, and Hongdong Li: A New View-Invariant Feature WIREs Data Mining and Knowledge Discovery, 3(2): for Cross-View Gait Recognition, IEEE Transactions 140-155, 2013 on Information Forensics and Security 2013
Bo Liu, Yanshan Xiao, Philip S Yu, Longbing Cao. An P Chen, J Li, L Wong, H Kuwahara, J Huang, X Gao. Efficient Approach for Outlier Detection with Imperfect Accurate prediction of hot spot residues through Data Labels, IEEE Transactions on Knowledge and physicochemical characteristics of amino acid Data Engineering sequences, Proteins, 2013 March 16. doi: 10.1002/ prot.24278. [Epub ahead of print] Bo Liu, Yanshan Xiao, Philip S Yu, Longbing Cao. Uncertain One-Class Learning and Concept Yuanchun Zhou, Minjie Tang, Weike Pan, Jinyan Summarization Learning on Uncertain Data Li, Weihang Wang, Jing Shao, Liang Wu, Jianhui Streams, IEEE Transactions on Knowledge and Li, Qiang Yang, Bao-ping Yan. Bird Flu Outbreak Data Engineering Prediction via Satellite Tracking, IEEE Intelligent Systems, 26 April 2013 Yanshan Xiao, Bo Liu, Longbing Cao, Zhifeng Hao. Boundary Embedded Nonparallel Plane Classification, IEEE Transactions on Neural Conference Papers Published Networks and Learning Systems Can Wang, Zhong She, Longbing Cao. Coupled Yanshan Xiao, Bo Liu, Zhifeng Hao, Longbing Cao. Attribute Analysis on Numerical Data, IJCAI 2013 Similarity-Based Classification Framework For Multiple-Instance Learning, IEEE Transactions on Liang Hu, Jian Cao, Guandong Xu, Jie Wang, Zhiping Cybernetics Gu, Longbing Cao. Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis, IJCAI2013 Cheng Wang, Longbing Cao, Baiqi Miao. Optimal Deature Selection for Sparse Linear Discriminant Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Analysis and Its Applications in Gene Expression Zhiping Gu, Can Zhu. Cross-Domain Collaborative Data, Computational Statistics and Data Analysis Filtering Triadic Factorization, WWW 2013
Cheng Wang, Jing Yang, Baiqi Miao, Longbing Cao. Yin Song, Longbing Cao, Yin Junfu and Wang Cheng. Identity Tests for High Dimensional Data Using RMT, Extracting Discriminative Features for Identifying Journal of Multivariate Analysis Abnormal Sequences in One-class Mode, IJCNN 2013 Guandong Xu, Yu Zong, Ping Jin, Rong Pan, Zongda Wu, KIPTC: A Kernel Information Propagation Xin Cheng, Duoqian Miao, Can Wang, Longbing Cao. Tag Clustering Algorithm, International Journal of Coupled Term-Term Relation Analysis for Document Intelligent Information System Clustering, IJCNN2013
The Advanced Analytics institute | Big Data, Smarter Decisions www.analytics.uts.edu.au AAI Newsletter | 3 INNOVATION INNOVATION Wei Cao, Longbing Cao, Yin Song. Coupled Applied Data Mining Market Behavior Based Financial Crisis Detection, June 2013 IJCNN2013 Edited by Guandong Xu, Yu Zong and Zhenglu Yang Wei Li, Longbing Cao, Dazhe Zhao. CRNN: Integrating Publisher: CRC Press Classification Rule and Neural Network, IJCNN 2013 Data mining has witnessed Wu Liang, Alvin Chin, Guandong Xu, Liang Du, Xia substantial advances in Wang, Kangjian Meng,Yonggang Guo, Yuanchun recent decades. New Zhou. Who Will Follow Your Shop? Exploiting Multiple research questions and Information Sources in Finding Followers, DASFAA practical challenges have 2013 arisen from emerging areas and applications within the Shu Wang, Jian Zhang, Zhenjiang Miao. A New Edge various fields closely related Feature For Head-Shoulder Detection, ICIP 2013 to human daily life, e.g. social media and social networking. Jingsong Xu, Qiang Wu, Jian Zhang, Fumin Shen, This book aims to bridge Zhenmin Tang.Training Boosting-Like Algorithms with the gap between traditional Semi-Supervised Subspace Learning, ICIP 2013 data mining and the latest advances in newly emerging Worapan Kusakunniran, Shinichi Satoh Jian Zhang information services. It and Qiang Wu. Attribute-based Learning for Large explores the extension of well-studied algorithms and Scale Object Classification, ICME 2013 approaches into these new research arenas.
Social Media Mining and Social Network Analysis: Books Published Emerging Research Behavior Computing: Modeling, analysis, mining January 2013 and decision Edited by Guandong Xu & Lin Li Edited by Longbing Cao, Philip S. Yu Publisher: IGI Global Publisher: Springer Social Media Mining and Social Network Analysis: The field of behavior Emerging Research computing opens up the highlights the opportunity for breakthrough advancements made advances, discoveries and in social network advanced knowledge to analysis and social come from outside of social web mining and sciences. Behavior Computing its influence in the effectively contextualizes fields of computer statistical and machine science, information learning tools in a series of systems, sociology, 23 very interesting chapters organization science embracing models, scenarios discipline and much and case studies thematically more. This collection connected with behavior computing. The end result of perspectives is a highly presentable book for a wide-ranging on developmental audience inclusive of final-year undergraduates or practice is useful for postgraduate students. However, the book requires industrial practitioners as well as researchers and familiarity with machine learning algorithms and scholars. 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.
The Advanced Analytics institute | Big Data, Smarter Decisions www.analytics.uts.edu.au AAI Newsletter | 4 INNOVATION INNOVATION COLLABORATION BIG DATA EVENTS
New projects with Australian Taxation Office Thursday 11 April 2013 Big Data Analytics Breakfast Canberra Following the pilot success of the previous project at ATO, Professor Longbing Cao and his team on This invitation only breakfast was an exclusive government analytics recently received two new opportunity for representatives from the Federal contract research projects from the Australian Taxation Government Departments and businesses in Office. A team of five AAI researchers, including Canberra to talk to recognised leaders in this area, Dr Zhigang Zheng, Mr David Wei, Dr Allen Lin, Ms including Dr Usama Fayyad, one of the key founders Wei Cao and Mr Chunming Liu, are now working at of data mining; Dr Brian Pink, Australian Statistician the ATO Sydney office closely with the ATO domain and Professor Longbing Cao, director of UTS experts and business leaders. Professor Cao and his Advanced Analytics Institute, and to collaborate with team have been working with ATO business experts other experts in this area. 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 Dr Usama Fayyad presenting 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 Thursday 11 April 2013 now being used at UTS. Professor Cao is also the Big Data Analytics Forum Canberra Chair of the IEEE Task Force on Educational Data Mining. In the Big Data Canberra Forum 80+ government and industrial attendees were addressed by Dr Project extension with Nokia Research Usama Fayyad, Professor Longbing Cao and Dr Brian Pink and able to explore the challenges, Centre in Finland opportunities and areas for collaboration in big data and advanced analytics. The event aimed to help Based on their performance and research progress, shape and develop a greater understanding of the Associate Professor Jian Zhang and his team on 3D next-generation of data science innovation as well as image processing have secured new research funding envisaging creative big data-enriched government, for 2013 after the research collaboration with Nokia in industry and education in Australia. UTS Deputy 2012. The AAI team on 3D image processing and Vice Chancellor (Research), Professor Attila Brungs matching between the high quality density and low opened the Forum. The Associate Dean (Research) quality 3D images made substantial progress in 2012. of the Faculty of Engineering and IT at UTS, also This year, they will aim to develop new technology the Program Leader of the AAI Research Program and propose 3D image processing workshop in on Smart Living Technology, Professor Mary-Anne conjunction to IEEE international conference on Williams chaired the Forum. Computer Vision. This research is supported by Nokia research for future mobile applications.
The Advanced Analytics institute | Big Data, Smarter Decisions www.analytics.uts.edu.au AAI Newsletter | 5 INNOVATION INNOVATION Friday 12 April 2013 AAI 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 Attila Brungs - UTS DVC (Research) at Forum Canberra next-generation of data science innovation as well as envisaging creative big data-enriched government, industry, business and education in Australia.
Wednesday 10 – Thursday 11 April 2013 100+ attendees were delighted to learn from a AAI Big Data School strong line up of local and International presenters. The Summit received support and sponsorship from The Big Data School provided an educational platform University of Technology Sydney, Teradata, University for post-graduate students and young researchers of Queensland, Monash University, University of and data engineers, data technicians and Data South Australia, University of Melbourne, Queensland Scientists in Industry in the areas of data mining, University of Technology and University of Canberra. machine learning and analytics. Keynote speakers: 80+ attendees were delighted to learn from a strong Philip Yu, University of Illinois, Chicago line up of local and International presenters. They are:
Longbing Cao, Advanced Analytics Institute, Australia Usama M. Fayyad, Chairman & CTO of ChoozOn Limsoon Wong, National University of Singapore, Corporation/Blue Kangaroo (Formerly of YAHOO) Singapore Ross Farrelly, Teradata Australia & New Zealand, Brian Pink, Australian Statistician Australia Kai Ming Ting, Monash University, Australia Invited speakers: Richard Xu, University of Technology, Sydney, Longbing Cao, UTS Advanced Analytics Institute, Australia Australia Geoff Webb, Monash University , Australia Venky Krishnan, Adobe, Australia Klaus Felsche, Director, Intent Management and Jaideep Srivastava, University of Minnesota, USA Analytics, Department of Immigration and Citizenship, George Karypis, University of Minnesota, USA 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
Professor Limsoon Wong, National University of Singapore Patrick Shearman, Group General Manager Information Management, HCF Australia.
The Advanced Analytics institute | Big Data, Smarter Decisions www.analytics.uts.edu.au AAI Newsletter | 6 INNOVATION INNOVATION
Audience at Big Data Summit Annette Slunjski, Lucidity Marketing Communications
Philip Yu, University of Illinois, Chicago Klaus Felsche, Australian Immigration Dept
Dr Usama Fayyad Leif Hanlen, NICTA
Dr Brian Pink, Australian Statistician Patrick Shearman, HCF Australia
The Advanced Analytics institute | Big Data, Smarter Decisions www.analytics.uts.edu.au AAI Newsletter | 7 INNOVATION INNOVATION
Sydney MongoDB Meetup 30 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. Evan Stubbs, SAS Australia
Dr Alexandros Batsakis, Teradata
Sydney MongoDB Meetup
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 Michael Harrington, NSW Government 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.
Geoff Webb, Monash University
The Advanced Analytics institute | Big Data, Smarter Decisions www.analytics.uts.edu.au AAI Newsletter | 8 INNOVATION INNOVATION EDUCATION 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: Data Mining & Machine Learning Statistics & Probability Fundamental Theory and Knowledge Optimization Business Operation Bahaviour Analytics Social Analytics Behaviour and Social Analytics RiskAnalytics Web Analytics Learning Data Analytics Social Collective Intelligence Community Analytics Public Sector Analytics Energy Data Analytics Fraud Detection Smart Trading & Surveillance in Financial Marketing Financial and Marketing Analytics Marketing Analytics Recommender Systems
Bioinformatics Bioinfomatics and Biomedical Analytics Biomedical Data Mining Healthcare Analytics
New Media Analytics Multimedia & New Media Analytics Module Mobile Analytics Data Surveillance Through High-Speed Broadband Networks
Internet of Things and Analytics Pervasive Analytics & Smart Living Technologies Smart Home & Ambient Computing Cyberphysics Systems Research Methodology in Analytics Analytics Project Management Others Governance Analytics Legal Analytics Analytics Education and Training Course Structure Course Training and Education Analytics Compliance Analytics
Current short course:
Advanced Data Analytics - an Introduction This program is particularly useful for all those involved in BIG DATA for their organisation: Students Researchers Academics Industry Practitioners
Date: Tuesday 25 June, 2013 Venue: UTS Short Courses Venue For enquiries and booking, please contact [email protected] or Colin Wise 9514 9267
The Advanced Analytics institute | Big Data, Smarter Decisions www.analytics.uts.edu.au AAI Newsletter | 9 INNOVATION INNOVATION Professor Piccardi's Lecture Series presented on the emerging concept of Trace- Based Reasoning. Trace-Based Reasoning is an From March to May 2013 Professor Piccardi delivered Artificial Intelligence methodology for solving various a series of lectures on statistical pattern recognition problems. The specificity of Trace-Based Reasoning at the AAI. Weekly lectures included Recalls of is that it uses traces (i.e. sequential records of events) probability theory, Density estimation, Dimensionality as a rich knowledge source for the reasoning process. reduction, and Bayesian classification. 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 AAI Seminar Series / diabetes modelling, renal transplantation, stress / depression modelling, The AAI Seminar series is attracting a strong degree education analytics and of interest from internal and external stakeholders. A cyber security. summary of some recent presentations is provided below. A Fast Semi Definite Approach to Solving Binary Quadratic Problems Adversarial Knowledge Discovery Dr Chunhua Shen , School of Computer Science, Professor David The University of Adelaide Skillicorn, School of Computing, Queen's This pesentation highlighted University, Canada computer vision problems can be formulated as binary Professor Skillicorn quadratic programs (BQPs). spoke on conventional Two classic relaxation methods knowledge discovery, are widely used for solving models are built to maximise the fit with given data. BQPs, namely, spectral In adversarial settings, where the interests of those methods and semidefinite doing the modeling and some of those being modeled programming (SDP), each are not aligned, maximising fit is a terrible strategy with their own advantages and because it can be anticipated. Knowledge discovery disadvantages. 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 Information and enquiries about this publication should be directed to Colin Wise 9514 9267 or Associate Professor Cordier email: [email protected]
The Advanced Analytics institute | Big Data, Smarter Decisions www.analytics.uts.edu.au AAI Newsletter | 10 INNOVATION INNOVATION NETWORKING Invited Speeches Professor Longbing Cao spoke on Complex Sequential PAKDD2013 Data Analysis at the International Conference on Reliability, Infocom Technologies and Optimization PAKDD2013 was managed by around 30 key (ICRITO’2013), 28-30 Jan 2013, Noida, India. organizers spread around the world, in which Professor Longbing Cao, director of AAI was one of At the 11th International Conference on Practical the conference co-chairs. UTS and the AAI received Applications of Agents and Multi-Agent Systems, 22- significant positive exposure at the PAKDD2013 with 24 May, 2013, Salamanca, Spain, Professor Longbing a number of the attendees also attending the Big Cao was invited to speak on the topic Agent Mining: Data School and Summit in Sydney. The Synergy of Multiagent Systems and Data Mining.
The Pacific-Asia Conference on Knowledge Discovery Dr Guandong Xu was invited to speak on Data and Data Mining (PAKDD) is a leading international Mining for Recommender Systems, at the 8th conference in the areas of data mining and knowledge International Conference on Advanced Data Mining discovery (KDD). It provides an international forum for and Applications (ADMA 2012), 15th-18th December researchers and industry practitioners to share their 2012, Nanjing , China. new ideas, original research results and practical development experiences from all KDD related areas, Dr Suresh Sood was one of three key speakers at the including data mining, data warehousing, machine Next Intelligence session held in the UTS University learning, artificial intelligence, databases, statistics, hall on 25 April 2013. 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. Associate Professor Zhang giving a speech at NUST Alexandros Batsakis was an invited speaker. Seven volunteers from UTS AAI assisted in the event. They In his recent trip to China, Associate Professor Jian were Dr Guandong Xu, Ms Can Wang, Mr Zhong She, Zhang was invited to give a talk at the International Mr Junfu Yin, Mr Wei Li, Mr Jinjiu Li and Mr David Wei. Research Forum, in Nanjing University of Science Sponsors and partners included Teradata, University and Technology on 19 May 2013. He also gave talks of Queensland, Monash University, University of in Beijing Institute of Technology (BIT) and Xidian South Australia, University of Melbourne, Queensland University in Xian. University of Technology, University of Canberra, etc. Conference venue was at Surfers Paradise Marriott Associate Professor Jian Zhang joined Jeffery Francis Resort & Spa. – 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 Audience at PAKDD2013 work analysing user data on Instagram.
The Advanced Analytics institute | Big Data, Smarter Decisions www.analytics.uts.edu.au AAI Newsletter | 11 INNOVATION INNOVATION International Visitors THE AAI TEAM
North East University (NEU), China Delegation's Visit to UTS in Jan 2013 UTS Distinguished Scholars
AAI hosted a morning tea for our esteemed colleagues Dr Usama Fayyad from NEU. Dr Usama Fayyad, UTS Distinguished Visiting Objective of the visit was to investigate the Scholar, was invited by Professor Longbing Cao to infrastructure and building construction of UTS, visit AAI and Australia from 9 and a tour to our buildings because they were very April to 18 April 2013. impressed by our building design when they visited in October, 2012 as NEU itself is undergoing a big Dr Fayyad attended the Big campus development plan. 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 North East University delegates and AAI members big data analytics ignited much enthusiasm in big data research, education and development in the Australian communities.
Students visiting from Michigan University’s Ross Professor Philip Yu School of Business in Ann Arbour received presentations from Drs Zhu and Sood. The materials UTS Distinguished Visiting Scholar, Professor Philip covered include Australia’s social media usage and S Yu, visited UTS on 10 April 2013 to 19 April 2013. Data Science as a Career. Students were given Professor Yu was invited by Professor Chengqi Zhang, a sneak preview of the Australian Instagram and the director of the Centre for Quantum Computation Trajectories project engineered by Dr Xinhua Zhu and Intelligent Systems (QCIS). Professor Yu and due for public launch in June/July 2013. Dr Nigel delivered a keynote speech at the Big Data Summit Bairstow accompanied the students from the UTS about ‘On Mining Big Data’. He also attended Business School, Marketing Discipline Group. 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”.
Students from Michigan University’s Ross School of Business
The Advanced Analytics institute | Big Data, Smarter Decisions www.analytics.uts.edu.au AAI Newsletter | 12 INNOVATION INNOVATION Visiting Academics New Members PhD Students Dr Qian LIU
Mr Dong YU Dr Qian Liu commenced his postdoctoral Mr Dong YU commenced his doctoral research in research appointment AAI on 7 March 2013. He is doing research with in AAI on 18 March Professor Longbing 2013. He is doing Cao. His research topics research with Associate include tensor method Professor Jinyan Li. application in vision and His research topics include structural bioinformatics collaborating correlation and collaborating correlation pattern mining in time- pattern mining. course data. His appointment is for 18 months till 18 September 2014. Mr Shangrong Huang Dr Jianchao Tang Shangrong Huang received his bachelor at Zhejiang University, China, and Master at Techinische Dr Jianchao Tang commenced her visiting fellow Universitaet Darmstadt, Germany. He is now a PhD appointment in AAI on 20 student in AAI under the February 2013. She is a instruction of Associate lecturer from South China Professor Jian Zhang. Normal University, and doing His research interests research with Professor include social network, Longbing Cao. Her research recommendation system focuses on data mining, and information retrieval. project scheduling and artificial intelligence. Her Mr Liang Hu appointment is for 12 months till 19 February 2014. Visiting PhD. Student Liang Hu comes from Shanghai Visiting Students Jiaotong University. His research is under supervision Furong Peng of Dr. Guandong Xu on topics of Recommender Systems, Visiting PhD. Student Machine Learning and Furong Peng comes from Information Retrieval. His Nanjing University of appointment is for 12 months Science and Technology. till Feb 2014. His research topics include 3D point cloud registration Master of Analytics (Research) Student and cross domain image retrieval. His appointment is for 12 months till Jan Ms Mayanne Lafontaine 2014. We welcome to Mayanne Lafontaine who is undertaking the UTS Master of Analytics (Research), Gia Tuan Ngo part time. Mayanne is the Program Manager, Tobacco Control at the Cancer Institute NSW. She Gia Thuan Ngo commenced his Honours research has been involved in over eighteen public education appointment in AAI in February 2013. He is working campaigns and led the development of the iCanQuit under supervision of Associate Professor Jian website which now supports a Zhang and JingSong Xu. growing online community of His research topic is on quitters, and is the focus of her accurate people counting research. Completed a Masters in crowded environments. of Internet Communication and His appointment is for 9 interested in the use of new months until November technologies in health. 2013.
The Advanced Analytics institute | Big Data, Smarter Decisions www.analytics.uts.edu.au