QCIS ANNUAL REPORT 2014

1 I claim that many patterns of Nature are so irregular and fragmented, that, compared with Euclid – a term used in this work to denote all of standard geometry – Nature exhibits not simply a higher degree but an altogether different level of complexity. The number of distinct scales of length of natural patterns is for all practical purposes infinite. The existence of these patterns challenges us to study these forms that Euclid leaves aside as being “formless,” to investigate the morphology of the “amorphous.”

Benoit Mandelbrot The Fractal Geometry of Nature 1982

QCIS is a Priority Investment Research Centre at the University of Technology Sydney

© The Centre for Quantum Computation & Intelligent Systems, July 2015 Printed in July 2015 by UTS Printing Services, Sydney, Australia.

2 CONTENTS

4 Foreword & Letter from the Director

6 Overview of the Centre

8 QCIS Management

10 Data Sciences & Knowledge Discovery Laboratory

12 Decision Systems and e-Service Intelligence Laboratory

14 Innovation and Enterprise Laboratory (The Magic Lab)

16 Knowledge Infrastructure Laboratory

18 Quantum Computation Laboratory

20 2014 Funding

28 2014 Research

36 Graduate Program

38 Visitors

40 Workshops & Seminars

42 Collaborations

44 Professional & Editorial Services

3 FOREWORD

BY GLENN WIGHTWICK

UTS has a bold vision to be a world-leading university of technology and to advance knowledge and learning to progress the professions, industry and communities of the world. Key to this vision is the Research Strategy 2015–20, which has the ultimate goal to increase the intensity, excellence, impact and reputation of our research.

At UTS, the Centre for Quantum Computation and Intelligent Systems (QCIS) is a shining example of this research vision. Their ethos of applied, impact-driven and industry responsive research plays a major role in this university by leading research efforts in the fields of quantum computation and intelligent systems.

With strengths in pure and applied research, QCIS has achieved the following since its inception in 2008: • 44 ARC grants including: 24 Discovery projects; eight Linkage projects; eight ARC Future Fellowships; and four ARC DECRAs. • Major theoretical breakthroughs in quantum computation. • Sustained industry partnerships with Centrelink, Westpac, HCF, Coates Hire, Alcatel, IBM and Optus. • More than 400 publications in high-impact journals.

These are significant achievements for a Centre only seven years young.

As Deputy Vice-Chancellor for Research at UTS, and having spent a large amount of time in my career dealing with data and computers in all their forms, I am proud to say that QCIS is leading this area of focus for us as a university, across both our teaching and research.

The field of quantum computation and intelligent systems is a frontier research topic for the 21st century. QCIS’ knowledge of the world around us – and the everyday challenges faced by individuals, businesses and the government – will ensure that we remain at the forefront of discovery and practical application.

Professor Glenn Wightwick Deputy Vice-Chancellor (Research) University of Technology Sydney

4 FROM THE DIRECTOR

CHENGQI ZHANG

During 2014, QCIS continued its world-class research in the areas of quantum computation and quantum information, focusing on fundamental, theoretical research in quantum software; and in data mining and knowledge discovery, decision making capabilities, cognitive agents; privacy issues; and risk management and financial services.

QCIS members published 145 papers in the most prestigious journals and conferences, including 92 A*/A journal papers, and 53 refereed A-ranked conference papers. The Centre attracted additional funding, commencing in 2014, for a further four ARC Discovery Grants, one ARC Future Fellow Grant, two ARC Early Career Researcher grants and two ARC Linkage grants, giving QCIS a total of 27 concurrent ARC grants. In addition, Prof Dacheng Tao won industry grants with Toyota Motor Engineering and Manufacturing North America, Inc and Huawei Technologies Co Ltd and A/Prof Michael Bremner secured a grant with Lockheed Martin.

There were four staff promotions in 2014: Prof Jie Lu was promoted to Acting Associate Dean of Research (FEIT); A/Prof Paul Kennedy was promoted to Acting Head, School of Software; Dr Min-Hsiu Hsieh was promoted to Associate Professor; and Dr Ling Chen was promoted to Senior Lecturer. Prof Dacheng Tao was awarded an IEEE Fellowship and was named a highly cited researcher in Thomson Reuters’ World’s Most Influential Scientific Minds. Eleven new staff joined the Centre including ARC Future Fellow A/Prof Ivor Tsang and ARC DECRA recipients Dr Ying Zhang and Dr Youming Qiao.

Prof Mingsheng Ying, Prof Yuan Feng and Prof Runyao Duan were awarded a 2014 UTS Chancellor’s Research Medal for Exceptional Research. Dr Lu Qin, a DECRA holder, was awarded with a Vice-Chancellor’s Award for Early Career Research Excellence. Two members, Dr Lu Qin and Dr Xun Wang, were honoured with 2014 Chancellor’s Postdoctoral Fellowships.

The Centre continued to attract high calibre students with 80 in attendance and 12 graduands and QCIS continued its industry partnerships with Coates Hire, IBM Australia, SAS, the Children’s Hospital at Westmead, and the Australian Taxation Office.

This report outlines the Centre’s significant achievements in 2014, and includes details about recent research, grants awarded, and major publications. It also outlines what the Centre can do for government and industry in both Australia, and overseas. I hope this report will encourage interest in QCIS and inspire you to think about collaborative opportunities with QCIS now and in the future.

Professor Chengqi Zhang QCIS Director

5 OVERVIEW OF THE CENTRE

In an age where Science still has huge questions to answer: Just how powerful is the sum of human knowledge? Is artificial intelligence possible? Can we harness the potential of the quantum world? What is the fabric of information? QCIS is developing the theoretical frameworks to answer these questions and, in the process, charting our roadmap to the future.

OUR VISION OUR OBJECTIVES The Centre for Quantum Computation & Since its inception, QCIS’ primary goal has been to concentrate its research efforts to become a world-leading centre in the field Intelligent Systems (QCIS) is a Priority Investment of quantum computation and intelligent systems. The Centre Research Centre within the University of achieves this goal by meeting four key objectives: Technology Sydney. Its vision is to develop QUALITY theoretical foundations and new technologies for 1 Progressively increase the quality of research quantum computation and intelligent systems. QCIS demonstrates its commitment research quality with a publication record that meets or exceeds any comparable ABOUT QCIS research centre in the world on a per capita basis. In fact, in Since its inception in 2008, QCIS has grown into a pre-eminent 2015 Leiden ranked UTS as World No 1 for Most Cited Top research centre, and is acknowledged by industry and 1% Publications in the field of Mathematics and Computer government, in Australia and internationally, as a leading source Science. QCIS was a major contributor to this achievement. of knowledge and expertise. A key part of this is delivering outcomes and results that lead to major research advancements and maintaining Over 180 staff and students, who span the leading-edge of an exemplary level of research funding, commensurate the Centre’s five focus areas, are driving progress in areas like with its research goals. Each year the Centre has not failed quantum computing, theoretical computer science, cyber to increase its research funding and widen its areas of security, artificial intelligence, machine learning, data mining, expertise. Its annual revenue now exceeds that of most computer vision, image processing and information retrieval. comparable centres in Australia.

Their work is a mixture of theoretical and applied research across IMPACT a broad range of industry and business areas, including finance, 2 Transform research outputs into applications that marketing, security, telecommunications, health and government. have a major impact on business domains The QCIS’ philosophy of finding practical applications for QCIS publishes widely in ERA Rank A* and A journals, presents theoretical research is fully integrated into each research at premiere conferences and formally collaborates with more laboratory. In 2014, the Centre held five ARC Linkage than 45 universities and researchers worldwide. grants and nine other industry grants on projects dedicated to solving the real-world QCIS is informally divided into five major focus areas problems of business and or laboratories: industry. QCIS staff are • Data Sciences & Knowledge Discovery (DSKD) encouraged to • Decision Systems & e-Service Intelligence (DeSI) hold • Innovation & Enterprise Research (the Magic Lab) • Knowledge Infrastructure Laboratory (KIL) • Quantum Computation Laboratory (QCL)

6 OUR MISSION:

To be acknowledged by research centres throughout the world as a pre-eminent research centre in quantum computation and intelligent systems, and to be acknowledged by Australian industry and government as a leading source of knowledge and expertise in quantum computation and intelligent systems.

positions on Boards, edit journals, organise conferences and QCIS HISTORY participate in panels in order to keep up to date with the QCIS grew out of the UTS Smart E-Business Laboratory, latest business and industry trends. Also, QCIS employs an established in 2002 and led by Professor John Debenham. international advisory board of scientists at the highest level At the time, the Laboratory was a collection of five who are chosen for their expertise in government and industry groups focussed on different aspects of e-business to support and consult to the Centre. research: Intelligence, Markets, Services, Innovation and Bioinformatics. TRAINING 3 Provide excellence in higher-degree research and training In April 2007, the Laboratory became a Tier-One Centre: QCIS cultivates a world-class research environment including the Centre for Intelligent Information Systems (CIIS), state-of-the-art facilities and training for students and staff. with Professor Chengqi Zhang as its Director. Almost In July, QCIS moved into a new building on the UTS campus, exactly one year later, on 16 April 2008, the UTS Council widely considered to be the most advanced research facility of upgraded the CIIS centre to one of five priority investment its type in Australia. QCIS awards ten honours scholarships to research centres. By that time, the Centre had opened a domestic students each year and most higher-degree students new laboratory, Quantum Computation, and the Centre are funded through scholarships and grants that allow them to was re-named the Centre for Quantum Computation & focus fully on their masters and doctoral thesis. Intelligent Systems (QCIS). Professor Chengqi Zhang was appointed as the Director, with Professor John Debenham POSITION as Co-Director, and Professor Mingsheng Ying as Research 4 Maintain an exemplary international reputation Director. The Centre was officially launched at UTS on During its term, QCIS has established an international network 9 July 2009. of Joint Research Centres with five of the world’s most pre- eminent Universities including Shanghai Jiao Tong University During 2011 and 2012, the Centre established five Joint and the Beijing Institute of Technology. Its list of international Research Centres with international universities to collaborators numbers over 40 and includes world-ranking conduct long-term and sustainable research collaboration universities like the University of Oxford and Stanford University in specific fields of interest. as well as multi-national industry giants like Microsoft and Huawei Technologies. QCIS staff chair or help organise In 2013, the University’s initial five-year commitment to prestigious conferences and workshops around the world and QCIS was extended to 2018. its list of international fellowships grows each year.

7 QCIS MANAGEMENT

QCIS Director Research Director PROF CHENGQI ZHANG DISTINGUISHED PROF MINGSHENG YING

Chengqi Zhang has been a Research Professor in Information Distinguished Professor Mingsheng Ying joined QCIS Technology at The University of Technology Sydney (UTS) since in 2008. He is a world-renowned, pioneer researcher December 2001 and the Director of QCIS since its inception in the quantum programming field focussing on in April 2008. He obtained his PhD from the University of quantum computation and information; formal methods Queensland in 1991, followed by a Doctor of Science (DSc) and semantics of programming languages; and the (Higher Doctorate) from Deakin University in 2002 foundations of artificial intelligence.

Over the course of his career, he has published more than 200 As Research Director of QCIS Professor Mingsheng research papers; held 11 ARC Discovery and Linkage Grants; Ying plays a key role in the management and future and delivered dozens of keynote speeches at international direction of the Centre. He is also centrally involved in conferences. the Quantum Computation Lab where his expertise in quantum programming is pivotal to its success. Professor Zhang’s personal research mainly focuses on Data Mining and its applications. His most notable paper was He has published numerous papers in ERA ranked A* published in Artificial Intelligence in 1992 titled “Cooperation journals, such as ACM Transactions on Programming under uncertainty in distributed expert systems” which is an Languages and Systems, IEEE Transactions on Information apt description and a hallmark of his leadership of QCIS. Theory, IEEE Transactions on Software Engineering, Artificial Intelligence, Physics Review Letters, as well Due to his outstanding research achievements, Professor Zhang as top international conferences including POPL and received a 2011 NSW Science and Engineering Award in the Concur. He also authored the book “Topology in Process Engineering, Information and Communications Technology Calculus: Approximate Correctness and Infinite Evolution category, and a 2011 UTS Vice-Chancellor’s Award for Research of Concurrent Programs”. Excellence in the Leadership category. He currently holds the Cheung Kong Professorship CURRENT POSITIONS: with the State Key Laboratory of Intelligent Technology • Chairman National Committee for AI, and Systems, Department of Computer Science and Australian Computer Society (since Nov 05) Technology, Tsinghua University. • Chairman IEEE Technical Committee for Intelligent Informatics (since 2014) • Member Steering Committee, PRICAI • Member Steering Committeen PAKDD • General Co-Chair KDD 2015 • Local Arrangements Chair IJCAI 2017, • Senior Member IEEE Computer Society • Fellow Australian Computer Society

8 L-R: Professor Philip Yu, Professor Chengqi Zhang, Professor Attila Brungs, Professor Gerard Milburn, Professor Ah Chung Tsoi, Professor Mary O’Kane

QCIS Adjunct Professors QCIS Associate Members Management Committee Adj Prof Paul Beinat Adjunct Professor Steve Wozniak Mr Hans Bohlscheid Prof Longbing Cao Chief Scientist, Primary Data Centrelink, Australia Dr Ling Chen Adjunct Professor Paul Beinat Professor Igor Hawryszkiewycz Prof Runyao Duan CEO, NeuronWorks Pty Ltd, Australia School of Systems, Management & Leadership, A/Prof Paul Kennedy Adjunct Professor Daniel Catchpoole University of Technology Sydney, Australia Prof Jie Lu Bio-specimens Research & Tumour Bank, Children’s Prof Mary-Anne Williams Cancer Research Unit, The Kid’s Research Institute, Professor Xuezhong (Tony) He Prof Mingsheng Ying Children’s Hospital, Westmead, Australia School of Finance & Economics, Prof Chengqi Zhang University of Technology Sydney, Australia Dr Jing Jiang Adjunct Professor Tony Cohn University of Leeds Prof Zhong Li International Advisory Board Fern University, Germany Adjunct Professor Usama Fayyad Professor Mary O’Kane, (Chair) Chief Data Officer & Group Managing Director, NSW Chief Scientist & Scientific Engineer, Australia Barclays PLC Professor Javier Montero Facultad de Ciencias Matemáticas, Professor Samson Abramsky Adjunct Professor Hamido Fujita Universidad Complutense de Madrid, Spain Christopher Strachey Professorship, Director of ARISES, Dept of Computer Science, University of Oxford Iwate Prefectural University (IPU), Japan Professor Hui-Ming Wee Professor of Computing, Oxford University, UK Adjunct Professor Peter Gärdenfors Engineering Department, Professor Glenn Wightwick Lund University, Sweden Chung Yuan Christian University, Taiwan DVC (Research), UTS, Sydney, Australia Adjunct Professor Tom Osborn Prof Jian-Bo Yang Professor Gerard Milburn Chief Scientist, Brandscreen Pty Ltd, Australia Manchester Business School, UK Director, ARC Centre of Excellence Adjunct Professor Witold Pedrycz for Engineered Quantum Systems, Department of Electrical & Computer Engineering, Professor Xianyi Zeng The University of Queensland, Australia University of Alberta, Canada ENSAIT Textile Institute, France Professor Michelle Simmons, Adjunct Professor Carles Sierra Professor Nong Zhang Director, ARC Centre of Excellence for Quantum Artificial Intelligence Research Institute (IIIA), Spanish School of Electrical, Mechanical Computation and Communication Technology, Research Council (CSIC), Spain & Mechatronic Systems, University of New South Wales, Australia Adjunct Professor Simeon Simoff University of Technology Sydney, Australia Professor Ah Chung Tsoi Professor and Dean, School of Computing, Dean, Faculty of Information Technology, Engineering & Mathematics, UWS, Australia Macau University of Science & Technology, Macau Adjunct Professor Philip S. Yu Professor Philip S Yu Wexler Chair in Information Technology, Wexler Chair in Information Technology, University of Illinois at Chicago, USA University of Illinois at Chicago, USA

9 DATA SCIENCES & KNOWLEDGE DISCOVERY LABORATORY (DSKD)

DSKD conducts world-class research to provide solutions for real-world business problems. By examining data agility, discovering knowledge, and disclosing that as actionable business intelligence, their innovative methodologies and processes help organisations make smart decisions.

The DSKD Lab drives theoretical and practical innovation in Location-aware pattern mining data mining and knowledge discovery, pattern recognition, The uptake of GPS and advances in radar sensor technology machine learning, data sciences, and agent-based knowledge have given rise to a new wealth of spatial and information to systems. They foster practice-driven research to advance the add to our expanding knowledge of population behaviour. process of theoretical knowledge discovery and then develop Prof Chengqi Zhang and Dr Ling Chen are exploring how this the tools and techniques, businesses need to solve their information might be used to diagnose weather patterns, assist problems, make smarter decisions and ultimately reach their markets and detect crime by applying location data to improve organisational goals. traditional pattern mining techniques. At its core, their research discovers not only which events frequently co-occur but also Through numerous grants linking academic researchers where those occurrences take place. Their research is giving rise with industry and community, they’ve developed extensive to an entirely new field of research in pattern mining. experience in addressing critical problems like government ARC Discovery 2014: Location-aware frequent pattern mining from behaviour, investment planning, advertising efficacy and uncertain spatial transaction data | C Zhang, L Chen, J Pei resource allocation. Computation vs communication costs The DSKD Lab is nothing if not prolific. Last year alone they Big graph processing is becoming increasingly important in attracted $2.4 million in funding and published over 88 papers in industry and academia, because of its expressive ability to the field’s top journals and conference proceedings. Below is just model complex relationships in the real world. Dr Lu Qin, a a sample of their current projects. recipient of a 2014 Chancellor’s Postdoctoral Fellowship, is working to find scalable solutions for big graph processing Predicting human behaviour on video using MapReduce that allow a wide range of potential design Software that can intelligently interpret human behaviour algorithms while maintaining a feasible tradeoff between may sound like Big Brother, but the DSKD team will make it computation and communication costs. a reality sooner than we think. The benefits of being able to ARC DECRA 2014: Big graph processing in MapReduce | Dr Lu Qin use video surveillance to fight crime and combat terrorism are clear and prescient, but the technology has wider applications Enterprise pricing models that could save lives on a daily basis – such as predicting traffic Empowering large enterprises with the capability to set accidents or helping trucks safely merge onto a freeway. For real-time, dynamic pricing is one of the ways in which the DSKD the past few years, Prof Dacheng Tao has been developing lab is helping Australian businesses develop world-leading advanced probabilistic methods and Bayesian multi-linear technology. Using frameworks based on deep pattern mining, analysis frameworks that can be applied to surveillance footage the team is addressing critical and currently under-developed to warn of impending accidents, fight crime and predict human knowledge discovery and data mining issues with the aim of behaviour. More recently, he has extended this research and transforming existing policy-driven business intelligence models partnered with Toyota to help develop technology that will into deep pattern-driven, real-time, dynamic pricing tools. make vehicles smarter and safer. ARC Linkage 2014: Dynamic data mining for optimisation of enterprise ARC Discovery 2012: A general Bayesian multi-linear analysis framework price model | C Zhang, D Tao, L Chen, M Liu, A Lassauniere, J Christie, for human behaviour analysis | D Tao, S Maybank B Waterhouse

10 THE DSKD TEAM

RESEARCH INTERESTS: „„ data mining foundations „„ data sciences and data engineering „„ business intelligence „„ applied intelligent information processing & systems „„ image and video processing Lab Director Prof Chengqi Zhang Prof Longbing Cao „„ large scale machine learning Dr Ling Chen „„ multimedia APPLICATION DOMAINS: „„ image and video retrieval „„ video surveillance „„ market trading & capital market surveillance „„ national security and crime analysis, „„ government allowances and services, Prof Dacheng Tao A/Prof Ivor Tsang Dr Ying Zhang Future Fellow Future Fellow DECRA „„ on-line business security and recommendations, „„ health insurance risks analysis „„ decision-making

HIGHLIGHTS OF 2014: „„ Prof Dacheng Tao and his team have invented novel subspace learning models that meaningfully reduce the complexity of captured data. Their theoretical Dr Lu Qin Dr Jun Li Dr Peng Zhang and algorithmic findings have diverse applications, DECRA from video surveillance to consumer electronics. As a recognition of his substantial contributions to the area of pattern recognition and visual analytics, Prof Dacheng Tao was awarded the IEEE Fellowship and selected and won a 2015 Scopus Eureka Prize for Excellence in International Scientific Collaboration

„„ Dr Lu Qin was honoured with a 2014 UTS Vice-Chancellor’s Award for Research Excellence Dr Wei Bian Dr Guodong Long Dr Xueping Peng in the category of Early Career Research Excellence.

11 DECISION SYSTEMS AND E-SERVICE INTELLIGENCE LABORATORY (DeSI)

Organisational decision making, in today’s complex and dynamic environment, is growing ever more difficult. Decision-makers need advanced knowledge of consumer behaviour and accurate analysis of big data to predict trends, respond to consumer demand, negotiate effective contracts and develop products and services that will thrive in increasingly competitive conditions.

The DeSI Lab is working to develop theories, methods and and monitoring, and scheduling across multiple data centres in software systems to help organisations make better, more cloud environments. informed decisions and give them an edge as they chart their course through the sea of Big Data. Fuzzy Transfer Learning Collecting sufficient up-to-date data to train a learning model The DeSI Lab is highly successful in exploring theoretical and for data analysis and prediction is difficult and expensive. The methodological questions in the field of decision systems and DSKD Lab is developing a Fuzzy Transfer Learning methodology also actively commits to solving the real-world problems of using Information Granularity theory that can exploit data with government and industry. Their work focuses on model-driven different features and distributions in other, similar systems, and data-driven decision support systems, prediction and early to provide accurate learning-based prediction for current warning systems, situation awareness and risk management, problems. The project is establishing a new research direction recommender systems, fuzzy transfer learning, concept drift, – Fuzzy Transfer Learning for Prediction – and the outcomes and multi-criteria, multi-level decision-making, and typically will enable Government and industry to better use past results in powerful software tools organisations can use experience to make more accurate predictions and decisions. to support decision making. Their extensive collaboration Highly significant benefits will also accrue in the data analytics, networks, including distinguished researchers in Canada, business intelligence and decision-making research fields. Belgium, Germany, Spain, France, Japan, USA, China and the ARC Discovery 2014: Fuzzy Transfer Learning for Prediction in Data-Shortage UK play a vital role in creating the links between theoretical and Rapidly-Changing Environments | J Lu, G Zhang, W Pedrycz breakthroughs and business-ready software tools. Concept Drift The DeSI Lab also plays an important role in integrating research Concept drift – unforeseeable changes to the patterns and with teaching. Over the last six years, the Lab has organised themes that underlie data – occurs in all organisational data. 12 successful workshops on a variety of topics, offering staff and Concept drift makes prediction less accurate as time passes, students the opportunity to meet and work with high-profile leading to poor decision outcomes. To solve these problems, the visitors and access up-to-the-minute advances in their field. DSKD Lab is developing novel, integrated Competence Models And, over the last ten years, staff have received ten internal and national teaching and learning grants and been involved in the THE DeSI TEAM organisation and chairing of two international conferences – FLINS (Fuzzy Logic & Intelligent Technologies in Nuclear Science) and ISKE (Intelligent Systems and Knowledge Engineering).

In 2014, the Lab’s work included: advanced recommender system techniques for e-government, e-business, e-commerce and e-learning; fuzzy transfer learning algorithm and methodology development; concept drift detection methodology development to support data-driven decision support systems; situation Lab Director awareness; and intelligent methodologies for resource allocation Professor Jie Lu A/Prof Guangquan Zhang

12 to reflect and detect concept drift, to innovatively provide RESEARCH INTERESTS: decision support systems with adaptivity for concept drift „„ Decision support systems environments. These cutting-edge technologies for adaptive „„ Multi-criteria & multi-level decision making learning research will provide practical benefit to the Australian „„ Fuzzy logic and measure Government and industry by smartly using existing data to „„ Fuzzy optimisation and fuzzy decision making enhance decision making and data analytics, and scientific „„ Uncertain information processing benefit by the introduction of a new research field – Adaptive „„ Cognitive decision models and analysis Data-Driven DSS. „„ Situation awareness ARC Discovery 2015: Learning under Concept Drift for Adaptive Decision „„ Early warning systems Support Systems | J Lu, G Zhang, CT Lin „„ Web intelligence and ontology „„ e-Service and e-Business intelligence systems Data Analytics in Cloud Computing „„ e-Government service personalisation and integration Bulk liquid tankers are involved in approximately two accidents „„ Recommendation systems per month on Australian roads and rollovers are a major cause. „„ Case-based reasoning and prediction Fluid moves to one side of the tank when moving around a „„ Emergency management and risk analysis curve, raising the centre of gravity and increasing its propensity „„ Genetic algorithms to rollover. However, fluid movement is complex and the current „„ Online negotiation and online auction baffle configurations, designed to control fluid movement inside the tank, are not optimal. Dr Farookh Hussain is working APPLICATION DOMAINS: to reduce the risk of rollover by examining tanker+s orientation „„ Organisational decision-making and motion against significant variables such as fill level, speed, „„ Material, product and service evaluation accelerations, suspension set-up and baffle configuration. „„ Social crisis prediction, early warning and anti-terrorism Ultimately the project aims to establish a safe operating „„ Business strategy and resource planning envelope through modelling and trials and then develop „„ Logistics and customer relationship management engineering solutions, like tanker design or monitoring systems, „„ Knowledge management and adaption to solve this critical road-safety problem. „„ e-Government and m-Government 2015 Department of Industry Grant: Byford Equipment Pty Ltd | F Hussain „„ Risk management

Dr Farookh Hussain Dr Madhu Goyal Dr Helen Lu Dr Mahardhika Pratama Dr Dianshuang Wu

13 INNOVATION AND ENTERPRISE LABORATORY (THE MAGIC LAB)

The Magic Lab is a trans-disciplinary laboratory that conducts cutting -edge research into disruptive technology – technology that supercedes what we know; that transforms and revolutionises our world in ways we never expected.

Technologies like socially-aware robots, smart organisations, Adaptive Cyber-Physical Technologies open innovation, and the Internet of Things will radically alter Designing intelligent cyber-physical systems for open, complex our society in the coming decades. The Magic Lab works at and changing environments presents enormous scientific the forefront of this evolution, developing robust, intelligent challenges. Consider for a moment some of the challenges systems that will help shape this future. facing a social robot venturing into the world alone and unsupervised. How will it recognise and navigate a glass wall? Their core expertise lies in knowledge acquisition, knowledge How will it learn new skills? How will it process preconditions? management and automating decision making. They further Beyond negotiating physical terrain, engaging with society combine this expertise with a kitbag of skills that includes: and the people in it may also require particular traits - artificial intelligence; data analytics; social and group behaviour; demonstrations of independence or a sense of self, the ability to entrepreneurship and strategy; mobile technologies; privacy generate empathy, collaboration or genuine social interactions. law and IP; and design thinking; to invent new technology A key step in the path to developing truly adaptive intelligent that derive insights, make predictions and transform products, systems is the Magic Lab’s research into innovative frameworks, organisations and industries. A drive to understand the process methods and tools that provide cyber-physical technologies of innovation, the law of its adoption in entrepreneurial practice with attention-based, common-sense capabilities for adapting and the role information technology plays in that process to new, unexpected and unforeseen situations. A great underpins all the Magic Lab’s research. And it’s this mix of design summary of their work to date is showcased in the YouTube philosophy and technical skill that is most evident in their work. video: The Fugitive: A Robot’s Quest for Social Intelligence ARC Discovery Project 2012 – 2014 VOICE (Virtual Open Incubation Ecosystem) Adaptive Cyber-Physical Technologies with Attention Driven This international ecosystem, based on open innovation, Common-sense Behaviour crowdsourcing and co-creation principles, aims to provide a | MA Williams and P Gärdenfors, Lund University Sweden virtual innovation and entrepreneurship incubator. It is a realm where individuals, collaborators and start-ups can meet, co- Intelligent Water Metering create ideas and prototypes, review and refine their innovations This joint venture, between the Magic Lab, The Institute for using the wisdom of the crowd, share and find technical Sustainable Futures and Mid-Coast Water, tests competing information; explore in-roads to business and access capital or theories on how householders respond to interactive water crowd-funding. The project involves eight University partners consumption data from smart meters. The outcome is a new across the world. The Magic Lab is playing a critical role in the framework for intelligent water management, underpinned management, use case definitions and requirements elicitation, by research into the causal relationships between data ecosystem specifications, and innovation and entrepreneurship communication and knowledge, and the impact that of this project. VOICE will be up and running in August 2016 and knowledge has on attitudes and behaviours. is due for completion in 2019. http://www.voice-project.eu/ ARC Linkage Project 2011-2014 EU 7th Framework 2014-2019 Establishing a Next Generation Framework to Determine the Influence VOICE: Virtual Open Incubation Ecosystem of Intelligent Water Metering on Householder Attitudes and Behaviours Partners: Aalborg University Denmark, AIT Greece, INTRASOFT International | SB White, RA Stewart, MA Williams, DP Giurco, KR O’Halloran | MA Williams and P Peppas

14 The Magic Lab Team

Lab Director Prof Mary-Anne Williams

Commonwealth Bank – data analytics Designed to enhance CBA’s predictive analytics capabilities, the Magic Lab developed a unique data analytics curriculum and trained more than 1600 employees for the Commonwealth Bank. http://cba.com.au Major Industry Contract 2014 - 2016 Commonwealth Bank Data Analytics Project Dist Prof of Technology Distinguished Prof Adj Prof Steve Wozniak Henri Prade | MA Williams, B Johnston, X Wang, M Mirzaei Poueinag, N Ramezani Taghiabadi, Padriag Byrne, Ernst and Young

2014 HIGHLIGHTS

„„ Apple co-founder Steve ‘Woz’ Wozniak joined The Magic Lab as a Distinguished Professor of Technology, marking his first acceptance of an adjunct appointment at any

university. Prof Peter Gärdenfors Dr Pavlos Peppas

„„ Distinguished Prof Henri Prade and Prof Peter Gärdenfors also joined the Magic Lab. Peter Gärdenfors is a member of the Nobel Prize Committee for Economics, and Henri Prade is an ISI Highly cited>100 h-index researcher.

„„ Dr Xun Wang was awarded a 2014 Chancellor’s Postdoctoral Fellowship for – An innovative framework for risk-aware social service robots. Dr Benjamin Johnston Mr Jesse Clark „„ The UTS Unleashed! team beat more than 950 entrants from 55 countries worldwide to become Finalists in the Valeo Innovation Challenge – an international competition searching for the boldest, smartest and most revolutionary ideas in future car technology. They were the only Australian team to reach the Finals.

Dr Xun Wang Dr Rony Novianto

15 KNOWLEDGE INFRASTRUCTURE LABORATORY

Some of the greatest advances in human history have sprung from the nexus between scholars, thinkers and industry. Today, the Knowledge Infrastructure Laboratory is using software to create ecologies of data where information can be processed, analysed and shared.

Edwards (2010) defined knowledge infrastructures as “robust The tool is a virtual pipeline that visualises large quantities networks of people, artifacts, and institutions that generate, of patient data and compares patients’ gene expressions share, and maintain specific knowledge about the human and variations with clinical and image data to help clinicians and natural worlds.” These infrastructures are not engineered generate a personalised treatment plan for the child. systems designed to see a process from start to finish, rather they are complex, organic meshes/ecologies/interconnections The approach mines tumour tissue specimens, from a bank of of collected data, behaviour and knowledge exchange thousands stored by the Tumour Bank since 1998, to remove comprising many individuals, institutions and industry practices. irrelevant information from the vast amount of data generated Traditional examples might include academic conferences, the by current DNA sequencing technology, leaving just the global positioning system or the evening news. relevant information. A case-based reasoning approach is then applied to help predict how paediatric cancer sufferers will react However, in an age where information is more abundant to treatment by comparing them to previous patients on the than ever and the line between knowledge producers and basis of their systems biology. consumers is increasingly blurred, our traditional understanding of knowledge infrastructure is changing. This is where the Discovering a Neosporosis Vaccine Knowledge Infrastructure Laboratory shines. Its mission is to Neospora caninum, a parasitic disease that causes abortion examine and build data pipelines for the new age of data in the in cattle, currently represents a $1 billion problem for the form of software tools that can examine, extract and transport cattle producing countries of the world. However, to date, knowledge throughout these ecologies. Composed of two development of vaccines against parasitic diseases has proven research groups – Bio and Language – both focus on improving extremely difficult due to limitations in reliably predicting knowledge discovery and decision-making in large, distributed epitopes – the part of an antigen molecule to which an antibody open systems. attaches itself. The Bio Group has been working to develop a configurable and scalable framework to automate the process of discovering silico vaccine candidates for these kinds of THE BIO GROUP fungal microbes that cause disease. Their 2014 paper, Vacceed: a high-throughput in silico vaccine candidate discovery pipeline for The Bio group, led by A/Prof Paul Kennedy, explores metabolic eukaryotic pathogens based on reverse vaccinology, published in networks, academic research networks and social networks Bioinformatics’ April issue, outlines a high-throughput pipeline and, in particular, is working with biomedical and bioinformatic that incorporates data mining and machine-learning with a datasets. In 2014, their work centred on two main projects. range of bioinformatics criteria and evidence to produce a ranked list of vaccine candidates for laboratory validation. Diagnosing and Treating Childhood Cancer Continuing the work of a 12-year collaboration with Children’s Their approach has the potential to reduce the time and money Hospital at Westmead, the University of Western Sydney and involved in vaccine design from years of laboratory research to Queen’s University, Canada, the Bio Group is continuing to a few months of computing time and ultimately aims to provide develop a clinical, point-of-care software tool to better diagnose new control methods for these diseases. The potential economic and treat children with leukaemia and neuroblastoma. benefits for rural Australia are great.

16 THE KIL TEAM

Bio Lab Director A/Prof Paul Kennedy

THE LANGUAGE GROUP

The Language group, led by A/Prof Barry Jay, examines 50 years of development in computer science and programming languages Language Lab Director and attempts to provide a unifying framework for the varying styles, A/Prof Barry Jay paradigms and aspects of the many language specialisations that have developed over that time. Their body of work centres on the premise that computation is pattern matching and, fifteen years on, now encompasses a holistic suite of tools and methods, including a new foundation for computation – Pattern Calculus implemented in the programming language bondi.

Pattern Calculus The pattern calculus is a new foundation for computation that combines the power of both functions like lambda-calculus, and data structures like Adj Prof Dan Catchpoole Turing machines, within a pattern-matching framework and can support all the main programming styles, including functional, imperative, object- oriented and query-based styles. bondi The implementation of pattern matching in bondi exploits the full power of Pattern Calculus. The language has been evolved and expanded since initial development to support concurrency, ‘as’ patterns and ‘where’ clauses.

Foundations of Computation Adj Prof Tom Osborn In 2014, A/Prof Jay focussed on addressing the fundamental theories of computer science with his paper titled Confusion in the Church-Turing thesis, now submitted for publication. The paper demonstrates that the numerical version of the thesis does not imply the symbolic version of the thesis, and so cannot be used to constrain the design of calculi or programming languages, such as Pattern Calculus and bondi, to the lambda-calculus paradigm. Interest in this work is growing year on year. Three PhD students have undertaken thesis topics based on the field, with another completed at Macquarie University. Downloads of chapters from A/Prof Jay’s book Pattern Calculus Computing with Functions and Structures are also increasing – from 2000 on release in 2009 to 4000 in 2014. Dr Siamak Tafavogh

17 QUANTUM COMPUTATION LABORATORY (QCL)

The next revolution in computing power is still in its infancy, Quantum effects in Quantum Shannon theory but the Quantum Computation Laboratory is at this precipice, Prof Runyao Duan and A/Prof Min-Hsiu Hsieh are working investigating the relationship between quantum-mechanical on Quantum Shannon Theory – how information can be phenomena and information. As with all pioneering efforts, compressed efficiently and transmitted faithfully. Prof Duan this field presents many challenges. How to employ the laws of is particularly interested in developing a quantum zero-error physics that apply to the sub-atomic world given our existence information theory and how to exploit quantum effects in is macroscopic; determining the fundamental physical limits zero-error communication. A/Prof Hsieh’s research focuses on of our ability to process and transmit information; and where understanding how entanglement can be used in quantum quantum technology might be applied beyond traditional information processing and communication. For example, concepts of computing are perhaps the three most notable. with the assistance of entanglement, it’s possible to construct quantum error correction codes from classical linear codes that Together the QCL team is forging new pathways in each of these achieve better performance. areas to make quantum computing viable in our lifetime. Quantum complexity theory and implementation Model-checking Quantum Markov Chains and A key theme of A/Prof Michael Bremner’s research is the study of Symbolic bisimulation for quantum processes quantum computation that might be provably ‘beyond classical’ Profs Mingsheng Ying and Yuan Feng, with visiting PhD students – areas in which there are no efficient classical algorithms from Tsinghua University, initiated a new research direction in without significant consequences for computational complexity the analysis and verification of quantum programs using Model- theory. He is focused on methods for physically implementing checking Quantum Markov Chains. They also, in collaboration such quantum computations, identifying new classically difficult with Yuxin Deng from Shanghai Jiaotong University, introduced quantum complexity classes, and finding useful applications for symbolic semantics for quantum processes without resorting these classes of computations. to quantum states, thereby avoiding the difficulty caused by the continuity of state spaces. Their algorithm efficiently checks Recent Progress in Spatial Reasoning symbolic bisimilarity and modal characterisation for quantum Prof Sanjiang Li aims to establish expressive representation bisimilarity. This work paves the way for automatic verification formalism of spatial knowledge and provide effective reasoning of quantum systems in the process algebra approach. mechanisms. The great future challenge is to develop reasoning

The QCL Team Lab Director

Prof Runyao Duan Distinguished Prof Prof Sanjiang Li Prof Yuan Feng Future Fellow Mingsheng Ying Future Fellow Future Fellow

18 It’s been nearly 100 years since the discovery of quantum mechanics, but through those decades, ideas that started out as ‘spooky’ have developed into discoveries that have changed our fundamental understanding of the world. Information is physical, particles can be in two places at once, and quantum mechanical properties don’t set limits, they enhance them.

algorithms that are correct and complete with combined calculi. 2014 HIGHLIGHTS In recent work, Prof Li and collaborators combined some of the best-known calculi in qualitative spatial reasoning and the „„ Nobel-laureate physicist, David Wineland of the National computational complexity results unveil significant differences Institute of Standards and Technology, accepted an between different topological/directional calculi. invitation to deliver a free public lecture and the keynote speech at QIP2015, jointly hosted by QCL and the Isomorphism University of Sydney Department of Physics, to be held in Dr Youming Qiao is studying the group isomorphism problem January 2015. and has invented efficient algorithms for new group classes based on group extension theory. He also completed a „„ Prof Ming-sheng Ying, Prof Yuan Feng and Prof Runyao Duan systematic study of the complexity of a trial and error model, were honoured with the 2014 UTS Chancellor’s Research recently proposed by Bei, Chen and Zhang (STOC 2013), with Medal for Exceptional Research for their work in quantum results that suggest the trial and error complexity of constraint programming and quantum information theory. satisfaction problems can be converted to the normal setting. This finding, appearing at ICALP 2014, greatly enhances „„ A/Prof Min-Hsiu Hsieh was awarded an ARC Future understanding of this new model. Fellowship to advance his research in the ‘Foundations of Quantum Cryptography for Distribution of Secret Keys’. Hardware and photonic computing Dr Peter Rohde’s research focusses on optical quantum „„ Dr Youming Qiao received a 2015 DECRA for information processing, with a special focus on quantum walks, ‘Testing isomorphism of algebraic structures’ boson-sampling, encryption and quantum metrology. His collaborations with experimentalists have presented a new „„ A/Prof Yuan Feng was promoted to full Professor by technique for quantum metrology using only single photons the UTS promotion committee, effective 1 Jan 2015 evolved via simple optical circuits. The approach allows measurement more precise than any classical technique and „„ A/Prof Michael Bremner was awarded a contract research could find applications in medicine, mining and fundamental grant with the Lockheed Martin Corporation to study physics research. “Classical and quantum resource tradeoffs”.

A/Prof Michael Bremner A/Prof Min-Hsiu Hsieh Dr Youming Qiao Dr Ching-Yi Lai Dr Lei Song Dr Peter Rohde Future Fellow Future Fellow DECRA

19 2014 FUNDING

Annual Funding 2009-2014

ARC Other funding

QCIS received $3.1 million in 2014 $2.71m $3.1m funding in 2014. 88% was derived from 27 ARC grants including: 12 Discovery grants, 3 Discovery 2013 $1.97m $2.1m Early-Career Research Awards, 5 Linkage grants, 1 Infrastructure grant and 6 Future Fellow grants. Non-ARC industry funding 2012 $1.81m $2.2m totalled $363,922.

2011 $1.32m $1.6m

2010 $1.08m $1.6m

Note: The figures indicated against each grant show the total ARC award for that year to all organisations and partners. Italics indicate amounts awarded to a different Administering Organisation, and not QCIS/UTS, 2009 $1.01m $1.8m as a result of staff employment changes through the life of the grant.

20 ARC DISCOVERY GRANTS

# GRANT DETAILS INVESTIGATORS

1 Adaptive cyber-physical technologies with attention driven commonsense behaviours DP120102876 Prof Mary-Anne Williams Designing intelligent cyber-physical systems for open, complex and changing environments presents enormous 2012: $120,000 Prof Peter B Gardenfors scientific challenges. This project will develop an innovative framework, methods and tools that provide cyber- 2013: $100,000 physical technologies with attention based common sense capabilities for adapting to new, unexpected and 2014: $100,000 unforeseen situations. Primary RFCD: 0801 Artificial Intelligence & Image Processing Administering Organisation: University of Technology Sydney

2 A general Bayesian multi-linear analysis framework for human behaviour analysis DP120103730 Prof Dacheng Tao Smart information use is essential for effective video surveillance to guard against accidents, fight crime 2012: $133,000 Prof Stephen J Maybank and combat terrorism. In this project advanced probabilistic methods will be applied to visual surveillance 2013: $120,000 information, to warn of impending accidents and to track criminals and terrorists and predict their behaviour. 2014: $125,000 Primary RFCD: 0801 Artificial Intelligence & Image Processing Administering Organisation: University of Technology Sydney

3 Artificial intelligence meets wireless sensor networks: DP120103758 A/Prof Jochen Renz filling the gaps between sensors using spatial reasoning 2012: $120,000 A/Prof Matt Duckham Monitoring potential disaster regions and integrating available information with expert knowledge can 2013: $100,000 Prof Sanjiang Li prevent disasters and save many lives. The outcome of this project is one of the key components for intelligent 2014: $100,000 systems that can autonomously monitor the environment, make the correct inferences, and issue appropriate warnings and recommendations. Primary RFCD: 0801 Artificial Intelligence & Image Processing Administering Organisation: The Australian National University

4 Quantum effects in zero-error communication DP120103776 A/Prof Runyao Duan This project will establish a systematic quantum zero-error information theory to build highly reliable quantum 2012: $100,000 Prof Andreas J Winter communications networks. This innovative, breakthrough technology will advance research into the physical 2013: $ 80,000 realisation of quantum communication. It has global implications and will promote Australia’s position in this new 2014: $ 80,000 research field. Primary RFCD: 0105 Mathematical Physics Administering Organisation: University of Technology Sydney

Approximate reasoning with qualitative DP120104159 Prof Sanjiang Li 5 spatial constraints involving landmarks 2012: $50,000 A/Prof Jochen Renz Applications like emergency management of 2013: $50,000 Prof Anthony G Cohn bushfires, floods, or earthquakes requires spatial 2014: $50,000 information systems to integrate multiple kinds of information and make intelligent responses in a very limited time. This project will make breakthroughs in developing efficient methods to reason about complex spatial situations. Primary RFCD: 0801 Artificial Intelligence & Image Processing Administering Organisation: University of Technology Sydney

6 Taming the uncertainty in trajectory data DP130103245 Dr Heng Tao Shen This project aims to develop effective and efficient methods to manage large scale uncertain trajectory data. 2013: $55,000 Dr Ying Zhang It provides individuals, business, government and social groups the ability to explore significant uncertain trajectories 2014: $110,000 and their patterns, for usage in location based services, logistic, transportation and tourism. 2015: $55,000 Primary FoR: 0806 Information Systems Administering Organisation: The University of Queensland

21 ARC DISCOVERY GRANTS (cont...)

# GRANT DETAILS INVESTIGATORS

7 Modelling and discovering complex interaction relations hidden in group behaviours in business, DP130102691 Prof Longbing Cao online and social communities 2013: $120,000 Prof Philip S Yu This project addresses the shortage in current behaviour analysis by inventing innovative theories and algorithms 2014: $120,000 Prof Gerhard Weiss for analysing complex relations and interactions in group behaviour. The outcomes of this project will enable 2015: $120,000 effective detection of large suspicious groups, and contribute to safer businesses and society plus improved compliance in online and social communities. Primary RFCD: 0801 Artificial Intelligence & Image Processing Administering Organisation: University of Technology Sydney

8 Model-checking Quantum Markov Chains: towards verification techniques DP130102764 A/Prof Yuan Feng for quantum cryptographic systems 2013: $110,000 Prof Mingsheng Ying This project will develop effective techniques and practical tools for the verification of correctness, safety and 2014: $110,000 Prof Prakash Panangaden reliability of quantum cryptographic protocols and communication systems. It will promote Australia’s global 2015: $110,000 Prof Lijun Zhang standing in quantum computing research and provide frontier technology to industry and governments nationally and internationally. Primary RFCD: 0802 Computation Theory & Mathematics Administering Organisation: University of Technology Sydney

9 Location-aware frequent pattern mining from DP140100545 Prof Chengqi Zhang uncertain spatial transaction data 2014: $130,000 Dr Ling Chen Traditional transaction data mining exploits transactions without 2015: $130,000 Prof Jian Pei location information. Technological advances like GPS- 2016: $130,000 enabled devices or radar sensors now allow the collection of transactions with spatial information. This project will address inherent data uncertainty by developing technical solutions to mine uncertain spatial transactions and initiate a new research direction – location-aware frequent pattern mining. It will deliver theoretical foundations and technology for knowledge discovery from uncertain spatial transaction data and expand research horizons. Outcomes will provide social and economic benefits, for example, significantly improved analysis and detection of crime, weather diagnosis and market basket analysis for business.

Primary FOR: 0801 Artificial Intelligence & Image Processing

Administering Organisation: University of Technology Sydney

10 Fuzzy transfer learning for prediction in data-shortage and rapidly changing systems DP140101366 Prof Jie Lu Collecting sufficient up-to-date data to train a learning model for data analysis and prediction is difficult and 2014: $134,000 A/Prof Guangquan Zhang expensive. This project is developing a Fuzzy Transfer Learning methodology, using Information Granularity theory, 2015: $120,000 Prof Witold Pedrycz that exploits data with different features and/or distributions available in similar systems, to provide accurate 2016: $140,000 learning-based prediction for current problems. It will establish a new research direction, Fuzzy Transfer Learning for Prediction, and the outcomes will enable government and industry to better use past experience to make more accurate predictions and decisions. Primary FOR: 0801 Artificial Intelligence & Image Processing Administering Organisation: University of Technology Sydney

22 # GRANT DETAILS INVESTIGATORS

11 Nonlinear transfer distance metric learning for gleaning knowledge from the crowd DP140102164 Prof Dacheng Tao This project will develop nonlinear transfer distance metric learning algorithms for training and test samples that 2014: $140,000 Dr Jun Li are not independent and identically distributed, or from different instance spaces. New theoretical foundations for 2015: $120,000 Prof John Shawe-Taylor crowd-sourcing will lead to innovative intelligent systems for such purposes as the NBN, social, and security services, 2016: $140,000 and keep pace with developments in hardware technology. The outcomes include applications in social networks, the Internet, and climate change, as well as video surveillance to help combat crime and terrorism. The innovative research will significantly benefit Australia’s economy, environment and society, and will maintain Australia’s global leading role in the machine learning and computer vision. Primary FOR: 0801 Artificial Intelligence & Image Processing Administering Organisation: University of Technology Sydney

12 Enabling a user-centric wisdom engine for big information network search DP140102206 Prof Xingquan Zhu Big information networks, for example social networks, are important for modern information systems, yet searching 2014: $132,000 Prof Chengqi Zhang for useful information from huge networks is difficult because network structure and user relationships continuously 2015: $120,000 Prof Huan Liu evolve. This project will provide theoretical foundations for structural knowledge mining to enable user-centric 2016: $130,000 wisdom search on big information networks. Expected outcomes are: real-world application platforms to support information network analysis; theories for big network control, algorithms, and systematic solutions to enable user- centric knowledge search, including a new search engine for big information networks. By significantly improving IT, it will benefit Australian business, industry and the wider community. Primary FOR: 0801 Artificial Intelligence & Image Processing Administering Organisation: University of Technology Sydney

13 Learning under concept drift for adaptive decision support systems DP150101645 Prof Jie Lu Unforeseeable changes to patterns that underlie data (concept drift) occur in all organisational data, and in 2015: $104,000 A/Prof Guangquan Zhang unstructured data, making subsequent data-driven prediction less accurate as time passes, which leads to poor 2016: $99,700 Prof Chin Teng Lin decision outcomes. To solve these problems, this project aims to develop novel fuzzy competence models to reflect 2017: $104,000 concept drift, with methods to detect and react to changes, and integrate them into Decision Support Systems (DSS) to provide adaptivity for ever-changing environments. These cutting-edge results are intended to be directly used to enhance organisational real-time data analytics and dynamic decision making, and are expected to significantly contribute to information science by introducing a new research field, adaptive data-driven DSS. Primary FOR: 0801 Artificial Intelligence & Image Processing Administering Organisation: University of Technology Sydney

14 Effective tools for systematically modelling and learning sophisticated couplings DP150102442 Prof Longbing Cao embedded in big data applications 2015: $130,000 Prof Phillip S Yu Big data features complex coupling relationships within and between diverse entities in various forms and layers. 2016: $124,700 Prof Eric Gaussier This fundamentally challenges existing learning theories, which usually assume that data is independent and 2017: $130,000 identically distributed (IID). This indicates that such IID tools may either be inapplicable for big data or capture an incomplete or even biased picture of the ground truth in big data. Hence, this project aims to invent breakthrough theories and effective tools for systematically modelling and learning sophisticated couplings embedded in big data applications. The outcomes are expected to enhance Australia’s leading role in data science research and lift data intelligence-driven productivity and economic growth in a changing world. Primary FOR: 0801 Artificial Intelligence & Image Processing Administering Organisation: University of Technology Sydney

23 ARC DISCOVERY EARLY CAREER RESEARCHER GRANTS

# GRANT DETAILS INVESTIGATORS

15 Real-time query processing over multi-dimensional uncertain data streams DE140100679 Dr Ying Zhang Real-time query processing of multi-dimensional uncertain data streams is fundamental in many applications such 2014: $131,740 as environmental monitoring and location based services. This project aims to develop effective techniques to explore 2015: $131,740 the massive multi-dimensional uncertain data streams in real time. The project will develop, analyse, implement 2016: $131,740 and evaluate novel indexing and query processing techniques to effectively and efficiently support a set of primitive queries including rank-based queries, dominance-based queries and proximity-based queries. The results of this project will be an important complement to the development of data stream systems and will bring considerable social, economic and technological benefits to Australia. Primary FOR: 0806 Information Systems Administering Organisation: University of Technology Sydney

16 Big graph processing in MapReduce DE140100999 Dr Lu Qin As a large branch of big data processing, big graph processing is becoming increasingly important in both industry 2014: $131,740 and academia, due to the large expressive power of graphs to model complex relationships among entities in the 2015: $131,740 real world. This project will find highly scalable solutions to process big graphs using MapReduce. MapReduce is a big 2016: $131,740 data processing framework that is shown to be scalable to handle structured query language-styled queries but is still open when it is used to process big graphs. Most of the problems studied in this project are fundamental graph problems that are not well studied in MapReduce. This project will enhance big graph processing which is beneficial for both science and society. Primary FOR: 0806 Information Systems Administering Organisation: University of Technology Sydney

18 Algorithms and complexity for testing isomorphism of algebraic structures DE150100720 Dr Youming Qiao The algorithmic problem of isomorphism testing seeks to decide whether two objects from a mathematical category 2015: $125,000 are essentially the same. This project focuses on the setting when the categories are from algebra, including 2016: $125,000 but not limited to, groups and polynomials. It is a family of fundamental problems in complexity theory, with 2017: $125,000 important applications in cryptography. The project aims to develop efficient algorithms with provable guarantee, or formal hardness proofs, for these problems. Algorithms will be implemented to examine the impacts on certain cryptography schemes. The successful completion of this project will enhance the understanding of computational complexities of these problems, and identify the security of certain cryptography schemes Primary FOR: 0802 Computation Theory & Mathematics Administering Organisation: University of Technology Sydney

24 ARC FUTURE FELLOW GRANTS

# GRANT DETAILS INVESTIGATORS

19 Reasoning about, and step-wise development of quantum programs: FT100100218 Prof Yuan Feng a predicate transformer semantics approach 2010: $70,749 The project will provide a framework to reason about, and step- wise develop, quantum programs by rigorous predicate 2011: $140,298 transformer semantics, and generate breakthrough theory and frontier techniques for quantum software engineering. 2012: $140,298 Primary RFCD: 0802 Computation Theory & Mathematics 2013: $140,298 Administering Organisation: University of Technology Sydney 2014: $69,549

20 Supra-classical quantum simulation in physically restricted models of quantum computation FT110101044 A/Prof Michael J Bremner Quantum computation evolved from the revolutionary 20th century theories of Quantum Mechanics and Computer 2011: $78,788 Science, offering computational power that potentially transcends traditional computing models. This project will 2012: $149,354 accelerate the delivery of the promised benefits of quantum computation by advancing the theory of quantum simulation. 2013: $142,354 Primary RFCD: 0802 Computation Theory & Mathematics 2014: $142,354 Administering Organisation: University of Technology Sydney 2015 : $70,566

21 A mathematical foundation and novel solutions for highly secure communication FT120100449 Prof Runyao Duan This project will deliver novel solutions to security and privacy in communication networks by exploring the power of 2012: $85,379 quantum information with mathematical tools from operator structures. It will significantly advance our knowledge 2013: $169,461 about quantum communication, with expected benefits for Australian social, economic and military security. 2014: $169,461 Primary RFCD: 0105 Mathematical Physics 2015: $169,461 Administering Organisation: University of Technology Sydney 2016: $84,082

22 Big data machines: Internet-scale machine learning techniques to combat the curse of big data FT130100746 A/Prof Ivor Tsang The advent of “big data” in business, government, science, social networks, the internet, etc. creates opportunity 2013: $ 82,929 in business and commercial domains. Big data also raises issues of increasing volume, variety, dimensionality and 2014: $158,904 categories in open domain big data applications, which this project will solve by developing novel machine learning 2015: $153,404 techniques, including theoretical foundations, a big data machine learning framework and open source website. The 2016: $153,404 outcomes of this project will provide frontier technologies for big data analysis that will have social and economic 2017: $ 75,975 impact in such areas as social media computing, bioinformatics and business intelligence, and enhance Australia’s global position in the pattern recognition and data mining communities. Primary FoR: 0801 Artificial Intelligence & Image Processing Administering Organisation: University of Technology Sydney

23 Multiview complete space learning for sparse camera network research FT130101457 Prof Dacheng Tao Data analytics in video surveillance and social computing is a problem because data is represented by multiple 2013: $123,393 heterogeneous features. This project will develop a multiview complete space learning framework to exploit 2014: $234,036 heterogeneous properties to represent images obtained from sparse camera networks. It will integrate multiple 2015: $224,036 features to identify people and understand behaviour, to build a database of activities occurring in a wide area of 2016: $224,036 surveillance. It will expand frontier technologies and safeguard Australia by providing warnings for hazardous (for 2017: $110,643 example, overcrowding, trespassing), criminal, and terrorist situations. Results will be applicable internationally and enhance Australia’s role in machine learning and computer vision communities. Primary FoR: 0801 Artificial Intelligence & Image Processing Administering Organisation: University of Technology Sydney

24 Foundations of Quantum Cryptography for Distribution of Secret Keys FT140100574 A/Prof Min-Hsiu Hsieh Quantum cryptographic systems have the advantage of mathematically provable security and privacy, addressing 2014: $85,613 security threats to communications as information and communications technologies proliferate. This project aims 2015: $169,626 to quantify a quantum channel’s capability for secure communications. This quantity provides the ultimate limit to 2016: $169,626 benchmark practical quantum key distribution protocols for their performance. This will significantly advance the 2017: $169,626 theory of quantum cryptography and knowledge of the fundamental resource of secret keys. It is expected to have 2018: $84,013 immediate application for the classical security of existing (non-quantum) communication devices, and benefit security, military, government, industry, individuals, and the community. Primary FOR: 0105 Mathematical Physics Administering Organisation: University of Technology Sydney

25 ARC LINKAGE PROJECTS

# GRANT DETAILS INVESTIGATORS

25 Establishing a next generation frame-work to determine the influence of intelligent LP110200767 Prof Stuart B White water metering on house-holder attitudes and behaviours 2011: $29,000 Dr Rodney A Stewart Urban water security requires intelligent water management; however, its influence and impacts are contested. 2012: $55,000 Prof Mary-Anne Williams For the first time, we develop a framework that evaluates how innovative approaches to communicating data 2013: $61,500 Dr Damien P Giurco to householders – on where and when water is used in the home – affects attitudes and water use behaviours. 2014: $35,500 Dr Kelvin R O’Halloran Significantly, this research combines theories of behaviour change and belief revision to reconcile competing approaches to understanding the influence of data and information on householder attitudes and behaviours. The outcomes deepen the knowledge base by elucidating mechanisms for how water-use information, technology and conservation messages impact consumers in an increasingly digital age. Primary RFCD: 0801 Artificial Intelligence & Image Processing Administering Organisation: University of Technology Sydney Partner Organisations: Griffith University, Mid Coast Water, Wide Bay Water Corporation

26 Mining complex concurrency relationship patterns for dynamic customer/asset interaction modelling LP120100566 Prof Chengqi Zhang through novel industrial behaviour networks 2012: $140,000 Prof Longbing Cao This project will develop novel data mining algorithms to model the evolution of concurrency relationships between 2013: $120,000 Dr Ling Chen customers and assets. It will take into account multiple aspect factors for a business such as seasonality, government 2014: $120,000 Mr David I Wisener policy, and other external events for making fast, accurate and efficient business decisions. +Coates: $75,000 pa Mr Donald R Halloran Primary FoR: 0801 Artificial Intelligence & Image Processing Mr Alan T Wang Administering Organisation: University of Technology Sydney Mr Cameron Monk Partner Organisation: Coates Hire

27 A framework for physical and social collaboration: towards the smarter planet vision LP120100659 Prof Mary-Anne Williams This project will make intelligent collaborative technologies a reality by advancing the theory of collaborative action 2012: $75,000 Prof Glenn Wightwick and developing an innovative framework and practical methods which will allow intelligent systems to undertake the 2013: $70,000 Dr Benjamin G Johnston collaborative actions required for applications in transport, energy management, sustainability and healthcare. 2014: $75,000 Primary FoR: 0801 Artificial Intelligence & Image Processing +IBM: $40,000 pa Administering Organisation: University of Technology Sydney Partner Organisation: IBM Australia Ltd

28 Active management of complex non-self-finalising behaviours through deep analytics LP140100937 Prof Longbing Cao This project will build theoretical breakthroughs and novel tools for deep analytics and active management of 2014: $60,000 Dr Guandong Xu non-self-finalising (NSF) individual and business behaviours, which are sophisticated and increasingly seen in the 2015: $120,000 Prof Huan Liu public sector such as taxation and business including banking and insurance. The challenging economic environment 2016: $120,000 Ms Annie Ferguson continues to make managing NSF behaviours difficult. To date, there are no sufficient theories or effective systems 2017: $60,000 Mr Paul Kruspe in data mining and behaviour science to systematically learn the intent, impact and patterns of and to suggest Dr Maninder Bhatia cost-effective responses to NSF behaviours. This project will ensure Australia’s leading role in innovation for evidence- Mr Peter Holloway driven enterprise behaviour analytics and management. Primary FoR: 0801 Artificial Intelligence & Image Processing Administering Organisation: University of Technology Sydney Partner Organisation: Australian Taxation Office

26 # GRANT DETAILS INVESTIGATORS

29 Dynamic data mining for optimisation of enterprise price model LP140100569 Prof Chengqi Zhang This project aims to build a pricing framework, based on deep pattern mining, to enable dynamic real-time pricing 2014: $85,000 Prof Dacheng Tao for large enterprises. It aims to advance existing business intelligence pricing models from policy driven to achieve 2015: $170,000 Dr Ling Chen deep pattern driven real-time pricing. The deep pattern mining addresses critical and under-developed knowledge 2016: $170,000 Mr Mark Liu discovery and data mining issues. Detailed research topics include a probabilistic data model, an extracted deep 2017: $85,000 Dr Alex Lassauniere feature representation, a deep pattern mining algorithm, and a prototype system for pricing determination. +Coates: $100,000 pa Mr Javier Christie The project outcomes aim to empower enterprises with real-time dynamic pricing capability, as well as building Mr Ben Waterhouse theoretical foundations to strengthen world leadership by Australian businesses. Primary FoR: 0801 Artificial Intelligence & Image Processing Administering Organisation: University of Technology Sydney Partner Organisation(s): Coates Hire

30 Flashlite: a high performance machine for data intensive science LE140100061 Prof David Abramson The 21st century has been described as the century of data. Experts predict an exponential growth in the amount 2014: $1,000,000 Prof Xiaofang Zhou of data that will be captured, generated and archived. Australia has made significant progress towards addressing Prof Debra Bernhardt some of the opportunities and infrastructure challenges posed by such rapid increase in data volumes. However, Prof Chengqi Zhang these investments do not address the growing need to process data. Conventional supercomputers are unable to Prof Xingquan Zhu meet the challenges of the data explosion. The large gap in latency and bandwidth between the processor, memory Prof Dacheng Tao and disk subsystems means that the processor is often idle waiting to fetch data. This project will build a platform Dr Ling Chen focussed on data intensive science. Prof Michael Drinkwater Primary FoR: 1006 Computer Hardware Prof Rodger Tomlinson Administering Organisation: The University of Queensland Prof Ross Coppel Partner Organisation(s): Queensland University of Technology, Griffith University, Monash University, Prof Yuantong Gu University of Technology Sydney, Queensland Cyber Infrastructure Foundation Ltd Prof Kevin Burrage Prof Lyn Griffiths Prof Ian Turner Prof Brendan Mackey A/Prof Aijun Du Prof Kerrie Mengersen Prof David Edwards OTHER INDUSTRY GRANTS

# GRANT SUMMMARY DETAILS INVESTIGATORS

Traffic Scene Understanding for Automated Vehicles with Focus on Freeway Merging Maneuvers 2014: $150,000 Prof Dacheng Tao Toyota Motor Engineering and Manufacturing North America, Inc A Machine Learning Perspective to Image Processing and Understanding 2014: $70,000 Prof Dacheng Tao Huawei Technologies Co Ltd Classical and Quantum Resource Tradeoffs 2014: $28,922 A/Prof Michael Bremner Lockheed Martin 2015: $155,687 Urban Driving using Multiple Sensor Fusion 2015: $200,000 Prof Dacheng Tao Toyota Motor Engineering and Manufacturing North America, Inc 2016: $67,017 Integrated Power Systems for Caravans and RV’s 2015: $100,000 Dr Farookh Hussain OzRV Supplies Pty. Ltd Reducing the Rollover Risk of Bulk Liquid Tankers 2015: $99,666 Dr Farookh Hussain Byford Manufacturing Development of Mahout-based recommender engine for real-time streaming health data 2015: $100,471 Dr Farookh Hussain Workforce Health Assessors Intelligent Cloud-based applications for Milk Logistics 2015: $58,262 Dr Farookh Hussain JR Bulk Liquid Transport Pty Limited (renamed as Blu Logistics) UNSW Canberra

27 Ranked Publications 2009 - 2014

A* journal papers A journal papers A conference papers

2009 2010 2011 2012 2013 2014

A* PAPERS

ACCIDENT ANALYSIS & PREVENTION IEEE TRANSACTIONS ON IMAGE PROCESSING Zhifeng Li, Dihong Gong, Yu Qiao, Dacheng Tao Mohsen Naderpour, Jie Lu, Guangquan Zhang [2014] Xi Yang, Xinbo Gao, Dacheng Tao, Xuelong Li [2014] [2014] Common feature discriminant analysis for The explosion at institute: modeling and analyzing the Improving level set method for fast auroral oval matching infra-red face images to optical face images situation awareness factor | v73 | p209-24 segmentation | v23 | p2854-65 | v23 | p2436-45

ARTIFICIAL INTELLIGENCE Yubao Sun, Qingshan Liu, Jinhui Tang, Dacheng Tao Yong Luo, Tongliang Liu, Dacheng Tao, Chao Xu [2014] Ning Lu, Guangquan Zhang, Jie Lu [2014] [2014] Learning discriminative dictionary for group Decomposition-based transfer distance metric learning Concept drift detection via competence models sparse representation | v23 | p3816-28 for image classification | v23 | p3789-801 | v209 | p11-28 Mingli Song, Dacheng Tao, Shengpeng Sun, Xinge You, Ruxin Wang, Dacheng Tao [2014] BIOINFORMATICS Chun Chen, Stephen Maybank [2014] Diverse expected gradient active learning for relative Stephen Goodswen, Paul Kennedy, John Ellis [2014] Robust 3D face landmark localization based on local attributes | v23 | p3203-17 Vacceed: a high-throughput in silico vaccine candidate coordinate coding | v23 | p5108-22 discovery pipeline for eukaryotic pathogens based on Jie Gui, Dacheng Tao, Zhenan Sun, Yong Luo, reverse vaccinology | v30 | p2381-3 Lianyang Ma, Xiaokang Yang, Dacheng Tao [2014] Xinge You, Yuan Yan Tang [2014] Group sparse Person re-identification over camera networks using multiview patch alignment framework with view DECISION SUPPORT SYSTEMS multi-task distance metric learning | v23 | p3656-70 consistency for image classification| v23 | p3126-37 Jun Ma, Jie Lu, Guangquan Zhang [2014] A three-level-similarity measuring method of participant Yinting Wang, Dacheng Tao, Xiang Li, Mingli Song, IEEE TRANSACTIONS ON INFORMATION THEORY opinions in multiple-criteria group decision supports Jiajun Bu, Ping Tan [2014] Video tonal stabilization via Eric Chitambar, Runyao Duan, Min-Hsiu Hsieh [2014] | v59 | p74-83 color states smoothing |v23 | p4838-49 When do local operations and classical communication suffice for two-qubit state discrimination?| v60 | p1549-61 Mohsen Naderpour, Jie Lu, Guangquan Zhang [2014] Jun Yu, Yong Rui, Dacheng Tao [2014] An intelligent situation awareness support system for Click prediction for web image reranking using Todd Brun, Igor Devetak, Min-Hsiu Hsieh [2014] safety-critical environments | v59 | p325–40 multimodal sparse coding | v23 | p2019-32 Catalytic quantum error correction | v60 | p3073-89

28 RESEARCH

Ranked publications at a glance (2009-2014) Citations 2009-2014

A* A A journal journal conference Total Europe PubMed papers papers papers Web of Science 2009 5 6 8 19 Scopus

2010 7 16 29 52

2011 18 26 37 81

2012 33 23 48 104

2013 34 35 44 113

2014 35 57 53 145

2009 2010 2011 2012 2013 2014

Mark M Wilde, Min-Hsiu Hsieh, Zunaira Babar [2014] Wei Bian, Tianyi Zhou, AM Martinez, G Baciu, PATTERN RECOGNITION Entanglement-assisted quantum turbo codes Dacheng Tao [2014] Lefei Zhang, Qian Zhang, Liangpei Zhang, | v60 | p1203-22 Minimizing nearest neighbor classification error for Dacheng Tao, Xin Huang, Bo Du [2014] nonparametric dimension reduction | v25 | p1588-94 Ensemble manifold regularized sparse low-rank Nengkun Yu, Runyao Duan, Mingsheng Ying [2014] approximation for multiview feature embedding Distinguishability of quantum states by positive Zhaohong Deng, KS Choi, Longbing Cao, | v48 | p3102–12 operator-valued measures with positive partial transpose Shitong Wang [2014] | v60 | p2069-79 T2fela: Type-2 fuzzy extreme learning algorithm for fast Xiaodong Yue, Duoqian Miao, Longbing Cao, training of interval type-2 TSK fuzzy logic system Qiang Wu, YF Chen [2014] IEEE TRANSACTIONS | v25 | p664-76 An efficient color quantization based on generic ON NEURAL NETWORKS roughness measure Jun Li, Xun Lin, Xiaoguang Rui, Yong Rui, IEEE TRANSACTIONS ON PATTERN | v47 | p1777–89 ANALYSIS AND MACHINE INTELLIGENCE Dacheng Tao [2014] A distributed approach toward discriminative Wei Bian, Dacheng Tao[2014] Weihua Ou, Xinge You, Dacheng Tao, Pengyue Zhang, distance metric learning Asymptotic generalization bound of Fisher’s linear Yuanyan Tang, Ziqi Zhu [2014] | e 2014 discriminant analysis | v36 | p 2325-37 Robust face recognition via occlusion dictionary learning Jifei Yu, Xinbo Gao, Dacheng Tao, Xuelong Li, Chang Xu, Dacheng Tao, Chao Xu [2014] | v47 | p1559–72 Kaibing Zhang [2014] Large-margin multi-view information bottleneck A unified learning framework for single image super- | v8 | p1559-72 Ziqi Zhua, Xinge You, CL Philip Chen, Dacheng Tao, resolution | v25 | p 780-92 Weihua Ou, Xiubao Jiang, Jixin Zou [2014] Wen Li, Lixin Duan, Dong Xu, Ivor Tsang [2014] An adaptive hybrid pattern for noise-robust texture Chen Gong, Dacheng Tao, Keren Fu, Jie Yang [2014] Learning with augmented features for supervised and analysis | v48 | p2592–608 Fick’s Law assisted propagation for semisupervised semi-supervised heterogeneous domain adaptation learning | e 2014 | v6 | p1134-48

29 IEEE Transactions on Image Processing 23(8) - June 2014

Person re-identification over camera networks using multi-task distance metric learning

LIANYANG MA Shanghai Jiao Tong University XIAOKANG YANG Shanghai Jiao Tong University DACHENG TAO QCIS, UTS

ABSTRACT: Person reidentification in a camera network by using insufficiently labeled data. In this paper, we is a valuable yet challenging problem to solve. Existing reformulate person reidentification in a camera network methods learn a common Mahalanobis distance metric as a multitask distance metric learning problem. The by using the data collected from different cameras and proposed method designs multiple Mahalanobis distance then exploit the learned metric for identifying people in the metrics to cope with the complicated conditions that exist images. However, the cameras in a camera network have in typical camera networks. We address the fact that these different settings and the recorded images are seriously Mahalanobis distance metrics are different but related, affected by variability in illumination conditions, camera and learned by adding joint regularization to alleviate over- viewing angles, and background clutter. Using a common fitting. Furthermore, by extending, we present a novel metric to conduct person reidentification tasks on different multitask maximally collapsing metric learning (MtMCML) camera pairs overlooks the differences in camera settings; model for person reidentification in a camera network. however, it is very time-consuming to label people manually Experimental results demonstrate that formulating person in images from surveillance videos. For example, in most reidentification over camera networks as multitask distance existing person reidentification data sets, only one image metric learning problem can improve performance, and our of a person is collected from each of only two cameras; proposed MtMCML works substantially better than other therefore, directly learning a unique Mahalanobis distance current state-of-the-art person reidentification methods. metric for each camera pair is susceptible to over-fitting

30 PHYSICAL REVIEW LETTERS COMPUTATIONAL COMPLEXITY IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING Yi-Chan Lee, Min-Hsiu Hsieh, Steven Flammia, Ankit Gupta, Neeraj Kayal, Youming Qiao [2014] Ray-Kuang Lee [2014] Random arithmetic formulas can be reconstructed Huanfeng Shen, Xinghua Li, Liangpei Zhang, Local PT symmetry violates the no-signaling principle efficiently | TR12-033 Dacheng Tao, Chao Zeng [2014] | v112| #130404 Compressed sensing-based inpainting of aqua moderate COMPUTATIONAL INTELLIGENCE resolution imaging spectroradiometer band 6 using Nengkun Yu, Cheng Guo, Runyao Duan [2014] Ya Gao, Guangquan Zhang, Jie Lu, Jun Ma [2014] adaptive spectrum-weighted sparse bayesian dictionary Obtaining a W state from a Greenberger-Horne- A bi-level decision model for customer churn analysis learning | v52 | p894-906 Zeilinger state via stochastic local operations and | v30 | p583-599 classical communication with a rate approaching unity Lefei Zhang, Liangpei Zhang, Dacheng Tao, | v112 | #160401 Huawen Liu, Xindong Wu, Shichao Zhang [2014] Xin Huang, Bo Du [2014] A new supervised feature selection method Hyperspectral remote sensing image subpixel target THE COMPUTER JOURNAL for pattern classification | v30 | p342-361 detection based on supervised metric learning Farookh Hussain [2014] | v 52 | p4955 - 4965 A framework for measuring ontology usage on the web COMPUTATIONAL STATISTICS & DATA ANALYSIS | v56 | p1083-1101 Lefei Zhang, Liangpei Zhang, Dacheng Tao, Cheng Wang, Longbing Cao, Baiqi Miao [2014] Xin Huang [2014] Sparse transfer manifold embedding Naeem Janjua, Omar Hussain, Farookh Hussain, Optimal feature selection for sparse linear discriminant for hyperspectral target detection | v52 | p1030-1043 Elizabeth Chang [2014] Philosophical and logic-based analysis and its applications in gene expression data argumentation-driven reasoning approaches and their | v66 | p140-149 Rongrong Ji, Yue Gao, Richang Hong, Qiong Liu, realization on the www: a survey | v57 | p1-33 Dacheng Tao, Xuelong Li [2014] COMPUTER VISION & IMAGE UNDERSTANDING Spectral-spatial constraint hyperspectral image Longbing Cao [2014] Non-IIDness learning in Weifeng Liu, Dacheng Tao, Jun Cheng, classification | v52 | p 1811-24 behavioral and social data | v57 | p1358-70 Yuanyan Tang [2014] Multiview Hessian discriminative sparse coding IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS TRENDS IN PARASITOLOGY for image annotation | v118 | p50-60 Stephen Goodswen, Paul Kennedy, John Ellis [2014] Ning Lu, Hua Lin, Jie Lu, Guangquan Zhang [2014] Discovering a vaccine against neosporosis using CONCURRENCY AND COMPUTATION: A customer churn prediction model in telecom industry PRACTICE AND EXPERIENCE computers: Is it feasible? | v22 p401-411 using boosting | v10 | p1659-1665 Jamshaid Ashraf, Omar Hussain, Farookh Hussain [2014] Empirical analysis of domain ontology usage on Vahid Behbood, Jie Lu, Guangquan Zhang [2014] ERA A PAPERS the Web: ecommerce domain in focus Fuzzy refinement domain adaptation for long term | v26 | p1157–84 prediction in banking ecosystem | v10 | p1637-1646 ACM TRANSACTIONS ON INFORMATION SYSTEMS FUZZY SETS AND SYSTEMS Hai Dong, Farookh Hussain [2014] Hongzhi Yin, Bin Cui, Yizhou Sun, Julwan Purba, Jie Lu, Guangquan Zhang, Self-adaptive semantic focused crawler for mining Zhiting Hu, Ling Chen [2014] Witold Pedrycz [2014] services information discovery | v10 | p1616-1626 LCARS: a spatial item recommender system | v32 | #11 A fuzzy reliability assessment of basic events of fault trees through qualitative data processing IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING ACM TRANSACTIONS | v243 | p50-69 ON COMPUTATIONAL LOGIC Ying Zhang, Wenjie Zhang, Jian Pei, Mingsheng Ying, Yangjia Li, Nengkun Yu, IEEE INTELLIGENT SYSTEMS Xuemin Lin,Qianlu Lin, Aiping Li [2014] Yuan Feng [2014] Longbing Cao, Thorsten Joachims, Can Wang, Consensus-based ranking of multivalued objects: Model-checking linear-time properties of quantum Eric Gaussier, Jinjiu Li, Yuming Ou, Dan Luo, a generalized borda count approach | v26 | p83-96 systems | v15 | #3 Reza Zafarani, Huan Liu, Guandong Xu, Zhiang Wu, Gabriella Pasi, Ya Zhang, Xiaokang Ying Zhang, Wenjie Zhang, Qianlu Lin, Xuemin Lin Yuan Feng, Yuxin Deng, Mingsheng Ying [2014] Yang, Shongyuan Zha, Edoardo Serra, [2014] Effectively indexing the multidimensional Symbolic bisimulation for quantum processes | v15 | #14 VS Subrahmanian [2014] uncertain objects | v26 | p608-622 Behavior informatics: a new perspective | v29 | p62-80 ACTA INFORMATICA Yifan Fu, Bin Li, Xingquan Zhu, Chengqi Zhang [2014] Yangjia Li, Nengkun Yu, Mingsheng Ying [2014] IEEE TRANSACTIONS ON Active learning without knowing individual instance Termination of nondeterministic quantum programs APPLIED SUPERCONDUCTIVITY labels: A pairwise label homogeneity query approach | v51 | p1-24 MD Rabiul Islam, Youguang Guo, Jianguo Zhu, | v26 | p808 - 822 Haiyan Lu, Jian Xun Jin [2014] BMC BIOINFORMATICS High-frequency magnetic-link medium-voltage Bo Liu, Yanshan Xiao, Philip S Yu, Zhifeng Hao, Siamak Tafavogh, Daniel Catchpoole, Paul Kennedy converter for superconducting generator-based high- Longbing Cao [2014] [2014] Cellular quantitative analysis of neuroblastoma power density wind generation systems An efficient approach for outlier detection with tumor and splitting overlapping cells | v15 | #1 | v24 | p1-5 imperfect data labels | v26 |p1602-1616

31 Jia Wu, Xingquan Zhu, Chengqi Zhang, Philip Yu INTERNATIONAL JOURNAL OF COMPUTATIONAL PHYSICAL REVIEW A INTELLIGENCE AND APPLICATIONS [2014] Bag constrained structure pattern mining for Yangjia Li, Mingsheng Ying [2014] multi-graph classification | v26 | p2382-2396 Julwanhendry Purba, Jie Lu, Guangquan Zhang Debugging quantum processes using [2014] An intelligent system by fuzzy reliability monitoring measurements Zhenjun Tang, Xianquan Zhang, Shichao Zhang algorithm in fault tree analysis for nuclear power plant | v89 [2014] Robust perceptual image hashing based on ring probabilistic safety assessment | v13 partition and NMF| v26 | p711 - 724 PLOS ONE INTERNATIONAL JOURNAL OF COMPUTER VISION Maoying Qiao, Jun Cheng, Wei Bian, Bo Liu, Yanshan Xiao, Philip S Yu, Longbing Cao, Nannan Wang, Dacheng Tao, Xinbo Gao, Dacheng Tao [2014] Yun Zhang, Zhifeng Hao [2014] Xuelong Li, Jie Li [2014] A comprehensive survey to Biview learning for human posture segmentation Uncertain one-class learning and concept summarization face hallucination | v106 | p9-30 from 3D points cloud learning on uncertain data streams |e 2014 | v26 | p468-484 INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING Stephen Goodswen, Paul Kennedy, Thi Thanh Sang Nguyen, Hai Yan Lu, Jie Lu [2014] Zia ur Rehman, Omar Hussain, Farookh Hussain [2014] John Ellis [2014] Web-page recommendation based on web usage Parallel cloud service selection and ranking based on Enhancing in silico protein-based vaccine discovery and domain knowledge QoS history | v42 | p820-852 for eukaryotic pathogens using predicted peptide-MHC | v10 | p2574-2587 binding and peptide conservation scores Fahimeh Ramezani, Jie Lu, Farookh Hussain [2014] | v9 | #12 IEEE TRANSACTIONS ON MULTIMEDIA Task-based system load balancing in cloud computing Zhe Xu, Ya Zhang, Longbing Cao [2014] using particle swarm optimization | v42 | p739-754 Weifeng Liu, Yang Li, Xu Lin, Dacheng Tao, Social image analysis from a non-IID perspective Yanjiang Wang [2014] | v16 | p1986-1998 JOURNAL OF Hessian-regularized co-training for social activity ARTIFICIAL INTELLIGENCE RESEARCH recognition | v9 | #9 Cheng Deng , Rongrong Ji, Dacheng Tao, Anthony Cohn, Sanjiang Li, Weiming Liu, Xinbo Gao, Xuelong Li [2014] Jochen Renz [2014] Reasoning about topological and Naiyang Guan, Lei Wei, Zhigang Luo, Weakly supervised multi-graph learning cardinal direction relations between 2-dimensional Dacheng Tao [2014] for robust image reranking spatial objects | v51 | p493-532 Limited-memory fast gradient descent method for | v16 | p785-795 graph regularized nonnegative matrix factorization JOURNAL OF MACHINE LEARNING RESEARCH | v9 | #1 IEEE TRANSACTIONS ON SYSTEMS, Mingkui Tan, Ivor Tsang, Li Wang [2014] MAN AND CYBERNETICS Towards ultrahigh dimensional feature selection QUANTUM INFORMATION AND COMPUTATION Bin Wang, Xinbo Gao, Dacheng Tao, for big data | v15 | p1371-1429 Xuelong Li [2014] Ching-Yi Lai, Gerardo Paz, A nonlinear adaptive level set for image segmentation JOURNAL OF MATHEMATICAL PHYSICS Martin Suchara, Todd Brun [2014] | v44 | p418-428 Eric Chitambar, Min-Hsiu Hsieh [2014] Performance and error analysis of Knill’s postselection Asymptotic state discrimination and a strict scheme in a two-dimensional architecture Yanshan Xiao, Bo Liu, Zhifeng Hao, hierarchy in distinguishability norms | v55 | #11 | v9&10 | p807-822 Longbing Cao [2014] A similarity-based classification framework for JOURNAL OF MULTIVARIATE ANALYSIS SAFETY SCIENCE multiple-instance learning | v44 | p500-515 Cheng Wang, Tiejun Tong, Longbing Cao, Mohsen Naderpour, Jie Lu, Baiqi Miao [2014] Non-parametric shrinkage mean Guangquan Zhang [2014] Jun Yu, Yong Rui, Yuan Yan Tang, estimation for quadratic loss functions with unknown A situation risk awareness approach for process Dacheng Tao [2014] covariance matrices | v125 | p222-232 systems safety High-order distance-based multiview stochastic | v64 | p173-189 learning in image classification JOURNAL OF NETWORK AND COMPUTER APPLICATIONS | v44 | p2431-2442 SIGNAL PROCESSING Le Sun, Hai Dong, Farookh Hussain, Xingzhong Du, Yan Yan, Pingbo Pan, Richang Hong, Meng Wang, Yue Gao, Omar Hussain, Elizabeth Chang [2014] Guodong Long, Lei Zhao [2014] Dacheng Tao, Xuelong Li, Xindong Wu [2014] Cloud service selection: state-of-the-art and future Multiple graph unsupervised feature selection Image annotation by multiple-instance learning with research directions | v99 | #1 | p1-12 | e 2014 discriminative feature mapping and selection | v44 | p669-680 OMEGA-INTERNATIONAL JOURNAL SOFTWARE: OF MANAGEMENT SCIENCE PRACTICE AND EXPERIENCE Ling Shao, Xiantong Zhen, Dacheng Tao, Weigang Zhao, Jianzhou Wang, Haiyan Lu [2014] Jamshaid Ashraf, Omar Hussain, Xuelong Li [2014] Combining forecasts of electricity consumption in Farookh Hussain [2014] Spatio-temporal Laplacian pyramid coding for action China with time-varying weights updated by a Making sense from Big RDF Data: OUSAF for recognition | v44 | p817-827 high-order Markov chain model | v45 | p80-91 measuring ontology usage | e 2014

32 STEPHEN GOODSWEN The ithree Institute PAUL KENNEDY QCIS, UTS JOHN ELLIS The ithree Institute

Bioinformatics 30(16) 29 April 2014

Vacceed: a high-throughput in silico vaccine candidate discovery pipeline for eukaryotic pathogens based on reverse vaccinology

ABSTRACT: We present Vacceed, a highly configurable and scalable framework designed to automate the process of high-throughput in silico vaccine candidate discovery for eukaryotic pathogens. Given thousands of protein sequences from the target pathogen as input, the main output is a ranked list of protein candidates determined by a set of machine learning algorithms. Vacceed has the potential to save time and money by reducing the number of false candidates allocated for laboratory validation. Vacceed, if required, can also predict protein sequences from the pathogen’s genome.

A CONFERENCE PAPERS

AAAI 2014 BIOMED 2014 Xiao Liu, Mingli Song, Dacheng Tao, th 28 Conference on Artificial Intelligence IASTED 11th Int’nl Conference on Biomedical Engineering Xingchen Zhou, Chun Chen, Jiajun Bu [2014] Quebec City, Canada, 27-31 Jul Zurich,Switzerland, 23-25 Jun Semi-supervised coupled dictionary learning for person Fangfang Li, Guandong Xu, Longbing Cao [2014] Siamak Tavaogh, Meng Qinxue, Daniel re-identification | p3550-57 Coupled item-based matrix factorization | v8786 | p1-14 Catchpoole, Paul Kennedy [2014] Automated quantative and qualitative analysis of Xiao Liu, Dacheng Tao, Mingli Song, Ying Ruan, Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, the whole slide images of neuroblastoma tumour for Chun Chen, Jiajun Bu [2014] Weakly supervised Zhiping Gu, Wei Cao [2014] making prognosis decision| p244-51 multiclass video segmentation | p57-64 Deep modeling of group preferences for group-based recommendation | p1861-67 CIKM 2014 DASFAA 2014 23rd ACM Conference on Information & Knowledge Mgmt 19th Conference on Database Systems for Adv Applications Shanghai, China, 3-7 Nov Bali, Indonesia, 21-24 Apr Chen Gong, Dacheng Tao, Keren Fu, Jie Yang [2014] Relish: Reliable Label Inference via Smoothness Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Liming Zhan, Ying Zhang, Wenjie Zhang, Hypothesis | v3 | p1840-46 Zhihua Cai, Chengqi Zhang [2014] Xuemin Lin [2014] Exploring features for complicated objects: cross-view Identifying top k dominating objects over uncertain ACMMM 2014 feature selection for multi-instance learning data | v8421 | p388-405 ACM Conference on Multimedia | p1699-1708 Orlando, USA, 3-7 Nov ECCV 2014 Yang Mu, Wei Ding, Henry Lo, Dacheng Tao [2014] CVPR 2014 13th European Conference on Computer Vision Face recognition from multiple images per subject IEEE Conference on Computer Vision & Pattern Recognition Zurich, Switzerland, 6-12 Sep Columbus, USA, 23-28 Jun | p889-92 Ping Liu, Joey Zhou, Ivor Tsang, Zibo Meng, Zhongwen Xu, Ivor Tsang, Yi Yang, Zhigang Ma, Shizhong Han, Yan Tong [2014] Zhiqiang Zuo, Yong Luo, Dacheng Tao, Chao Xu AG Hauptmann [2014] Feature disentangling machine - a novel approach [2014] Multi-view multi-task feature extraction for web Event detection using multi-level relevance labels and of feature selection and disentangling in facial image classification | p1137-40 multiple features | p97-104 expression analysis | v8692 | p151-66

33 Physical Review Letters 112, Ali Azadeh, Saeed Abdolhosseinzadeh, Morteza 130404 (2014) – 3 April 2014 Saberi, Farookh Hussain, Omar Hussain [2014] A trust-based performance measurement modeling Local PT Symmetry Violates using DEA, T-norm and S-norm operators | p1913-20 the No-Signaling Principle Zhaohong Deng, Yizhang Jiang, Longbing Cao, Shitong Wang [2014] Knowledge-leverage based TSK fuzzy system with improved knowledge transfer | p178-85

Sun Le, Hai Dong, Farookh Hussain, Omar Hussain, Jiangang Ma, Yanchun Zhang [2014] Multicriteria decision making with fuzziness and criteria interdependence in cloud service selection | p1929-36

Ali Azadeh, Reza Kokabi, Morteza Saberi, Farookh Hussain, Omar Hussain [2014] Trust prediction using Z-numbers and artificial neural networks | p522-28

ICCS 2014 International Conference on Computational Science Cairns, Australia, 10-12 June Haitham Yaish, Madhu Goyal, George Feuerlicht [2014] YI-CHAN LEE National Tsing-Hua University Evaluating the performance of multi-tenant Elastic MIN-HSIU HSIEH QCIS, UTS Extension Tables | v29 | p614-626 STEVEN T FLAMMIA University of Sydney ICDE 2014 National Tsing-Hua University RAY-KUANG LEE 30th International IEEE Conference on Data Engineering Chicago, USA, 31 Mar -4 Apr ABSTRACT: Bender et al. [Phys. Rev. Lett. 80, 5243 (1998)] have Zhiwei Zhang, Lu Qin, JX Yu [2014] developed PT-symmetric quantum theory as an extension of quantum Contract & expand: I/O efficient SCCS computing | p208-19 theory to non-Hermitian Hamiltonians. We show that when this model has a local PT symmetry acting on composite systems, it violates the Shiyu Yang, Muhammad Aamir Cheema, Xuemin nonsignaling principle of relativity. Since the case of global PT symmetry Lin, Ying Zhang [2014] is known to reduce to standard quantum mechanics A. Mostafazadeh [J. SLICE: Reviving regions-based pruning for reverse Math. Phys. 43, 205 (2001)], this shows that the PT-symmetric theory is k nearest neighbors queries | p760-71 either a trivial extension or likely false as a fundamental theory. ICDM 2014 IEEE International Conference on Data Mining Shenzhen, China, 14-17 Dec Zhibin Hong, Chaohui Wang, Xue Mei, Danil FUZZ-IEEE 2014 Liang Hu, Wei Cao, Jian Cao, Guandong Xu, Prokhorov, Dacheng Tao [2014] IEEE International Conference on Fuzzy Systems Longbing Cao, Zhiping Gu [2014] Tracking using multilevel quantizations Beijing, China, 6-11 Jul Bayesian heteroskedastic choice modeling on | v8694 | p155-71 Dianshuang Wu, Guangquan Zhang, Jie Lu [2014] non-identically distributed linkages | p851-56 A fuzzy tree matching-based personalised e-learning Xu Z, Dacheng Tao, Zhang Y, Wu J, Tsoi Ac [2014] recommender system | p1898-1904 Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Architectural style classification using multinomial Zhihua Cai, Chengqi Zhang [2014] Multi-graph view latent logistic regression | p600-15 Tiefeng Zhang, Guangquan Zhang, Jie Lu, learning for graph classification | p590-99 Jianwei Gu [2014] A novel evaluation approach for EDBT 2014 power distribution system planning based on linear ICIEA 2014 th th 17 Conference on Extending Database Technology programming model and ELECTRE III | p1921-1928 9 IEEE Conference in Industrial Electronics & Applications Athens, Greece, 24-28 Mar Huangzhou, China, 9-11 Jun Chengyuan Zhang, Ying Zhang, Wenjie Zhang, Kaur P, Madhu Goyal, Jie Lu [2014] A Azadeh, NP Zia, M Saberi, Farookh Hussain, Xuemin Lin, Muhammad Aamir Cheema, A price prediction model for online auctions using fuzzy Omar Hussain, E Chang [2014] Xiaoyang Wang [2014] Diversified spatial keyword reasoning techniques | p1311-1318 Trust-based performance measurement search on road networks | p367-78 using fuzzy operators | p1701-06

34 ICML 2014 Junyu Xuan, Jie Lu, Guangquan Zhang, SIGKDD 2014 st 31 International Conference on Machine Learning Xiangfeng Luo [2014] Extension of similarity measures ACM SIGKDD International Conference on Beijing, China, 21-26 Jun in VSM: From orthogonal coordinate system to affine Knowledge Discovery and Data Mining New York City, USA, 24-27 Aug Chang Xu, Dacheng Tao, Chao Xu, Yong Rui [2014] coordinate system | p4084-91 Large-margin weakly supervised dimensionality Tianyi Zhou, Dacheng Tao [2014] reduction | p865-73 Long Lan, Naiyang Guan, Xiang Zhang, Dacheng Tao, Multi-task copula by sparse graph regression Zhigang Luo [2014] Soft-constrained non-negative | p771-80 Mingkui Tan, Ivor Tsang, Li Wang, matrix factorization via normalization | p3025-30 Bart Vandereycke, Sinno Jialin Pan [2014] Meng Fang, Dacheng Tao [2014] Riemannian pursuit for big matrix recovery | p1539-47 JELIA 2014 Networked bandits with disjoint linear payoffs | p1106-15 Journées Européennes sur la Logique ICONIP 2014 en Intelligence Artificielle SIGMOD 2014 21st Int’nl Conference on Neural Information Processing Madeira, Portugal, 24-26 Sep International Conference on Management of Data Kuching, Sarawak, 3-6 Nov Snowbird, USA, 22-27 Jun Pavlos Peppas, Mary-Anne Williams [2014] Anjin Liu, Guangquan Zhang, Jie Lu [2014] Constructive models for contraction with intransitive Hongzhi Yin, Bin Cui, Ling Chen, Concept drift detection based on anomaly analysis plausibility indifference | v8761 | p355-367 Zhiting Hu, Zi Huang [2014] | v8834 | p263-70 A temporal context-aware model for user behavior KR 2014 modeling in social media systems | p1543-54 Jialin Han, Guangquan Zhang, Jie Lu, Shuyuan Ma 14th International Conference on the Principles [2014] Model and algorithm for multi-follower tri-level of Knowledge Representation and Reasoning Xin Huang, Hong Cheng, Lu Qin, Vienna, Austria, 20-24 Jul hierarchical decision-making | v8836 | p398-406 Wentao Tian, Jeffrey Xu Yu [2014] Pavlos Peppas, Mary-Anne Williams [2014] Querying k-truss community in large Walayat Hussain, Farookh Hussain, Omar Hussain Belief change and semiorders | proceedings and dynamic graphs | p1311-22 [2014] Maintaining trust in cloud computing through SLA monitoring | v8836 | p690-97 Sanjiang Li, Zhiguo Long, Weiming Liu, Lu Qin, Jeffrey Xu Yu, Lijun Chang, Matt Duckham, Alan Both [2014] Hong Cheng, Chengqi Zhang, Xuemin Lin [2014] ICSR 2014 On redundant topological constraints | v225 | p51–76 Scalable big graph processing in Mapreduce International Conference on Social Robotics | p827-38 Sydney, Australia, 27-29 Oct MICCAI 2014 Jonathan Vitale, Mary-Anne Williams, Medical Image Computing SSDBM 2014 Benjamin Johnston [2014] & Computer-Assisted Intervention Conference on Scientific & Statistical Database Mgmt Boston, USA, 14-18 Sep Socially impaired robots: human social disorders and Aalborg, Denmark, 30 Jun - 2 Jul robot’s socio-emotional intelligence | v8755 | p351-60 Jun Cheng, Lixin Duan, DWK Wong, Dacheng Tao, Ying Zhang, Wenjie Zhang, Xuemin Lin, M Akiba, Jiang Liu [2014] Speckle Reduction in Optical Muhammad Aamir Cheema, Chengqi Zhang [2014] ICWS 2014 Coherence Tomography by Image Registration and Matching dominance: capture the semantics of th 7 International IEEE Conference on Web Services Matrix Completion | v8673 | p162-169 dominance for multi-dimensional uncertain objects Alaska, USA, 27 Jun - 2 Jul | #18 Le Sun, Hai Dong, Farookh Hussain, Omar Hussain, SDM 2014 Jiangang Ma, Yanchun Zhang [2014] SIAM International Conference on Data Mining VLDB 2014 Philadelphia, USA, 24-26 Aug th A hybrid fuzzy framework for cloud service selection 40 International Conference on Very Large Databases Hangzhou, China, 1-5 Sep | p313-20 Wei Wei, Junfu Yin, Jinyan Li, Longbing Cao [2014] Modelling asymmetry and tail dependence among Yuanyuan Zhu, Jeffrey Xu Yu, Lu Qin [2014] IJCNN 2014 multiple variables by using partial regular vine Leveraging graph dimensions in online graph search International Joint Conference on Neural Networks | p776-84 | v8 | p85-96 Beijing, China, 6-11 Jul Jia Wu, Zhihua Cai, Shirui Pan, Xingquan Zhu, Jia Wu, Xingquan Zhu, Chengqi Zhang, Yifang Sun, Wei Wang, Jianbin Qin, Chengqi Zhang [2014] Zhihua Cai [2014] Multi-graph learning with positive Ying Zhang, Xuemin Lin [2014] Attribute weighting: how and when does it work for and unlabeled bags | p217-25 SRS: Solving c-approximate nearest neighbor queries in Bayesian Network Classification | p4076-83 high dimensional Euclidean space with a tiny index SIGIR 2014 | v8 | p1-12 Xiang Zhang, Naiyang Guan, Long Lan, 37th International ACM SIGIR Conference on Dacheng Tao, Zhigang Luo [2014] Box-constrained Research and Development in Information Retrieval WISE 2014 Gold Coast, Australia, 6-11 Jul projective nonnegative matrix factorization via 15th International Conference on Web Information augmented Lagrangian method | p1900-06 Xiaoyang Wang, Ying Zhang, Wenjie Zhang, Systems Engineering, Thessaloniki, Greece, 12-14 Oct Xuemin Lin [2014] Jia Wu, Shirui Pan, Zhihua Cai, Xingquan Zhu, Efficiently identify local frequent keyword Fangfang Li, Guandong Xu, Longbing Cao [2014] Chengqi Zhang [2014] Dual instance and attribute co-occurrence patterns in geo-tagged Twitter stream Coupled item-based matrix factorization weighting for Naive Bayes classification | p1675-79 | p1215-18 | v8786| p1-14

35 GRADUATE PROGRAM

QCIS boasts a robust graduate program with 12 graduated PhD’s in 2014 and 80 current higher-degree students completing novel research in a wide range of topics and fields.

CURRENT STUDENTS

Syed Abidi Peng Hao Zhaofeng Su The graduate program at QCIS is rich, diverse and highly collaborative. Asma Alkalbani Zhibin Hong Dayong Tian Mohammad Alshehri Ruiqi Hu Nima Ramezani QCIS provides 10 honors scholarships Taghiabadi Muh. Anshar Shaoli Huang per year for domestic students and Tian Xia most QCIS higher-degree students are Jiang Bian Walayat Hussain funded by scholarships or industry Nazanin Borhan Jing Jiang Jonathan Vitale grants, allowing them to fully dedicate themselves to the contribution their Ali Braytee Xinxin Jiang Chaoyue Wang thesis will make to their field. Hongshu Chen Guoliang Kang Haishuai Wang Zhe Chen Shufeng Kong Ruxin Wang QCIS supervisors set high standards for graduate performance and in Wei Wang Zijing Chen Qiang Li exchange they, and the Centre, provide Supannada Chotipant Yinan Li Xin Wang a great deal of support and insight into their students’ work. Chunyang Liu Anjin Liu Jia Wu Charles Crick Bozhong Liu Wei Wu Students have access to state-of-the- art facilities to undertake experiments; Stephan Curiskis Liu Liu William Wu funding to attend top-level international Wei Xie Changxing Ding Tongliang Liu conferences; and opportunities to Quynh Ngoc Thuy Do Weiwei Liu Hao Xiong publish in premiere journals. Fan Dong Zhiguo Long Zhe Xu The Centre’s extensive network of Omar Elshaweesh Junmin Lu Junyu Xuan Joint Research Centres and industry collaborations contribute a wealth of Caishi Fang Mingsong Mao Shan Xue theoretical and real-world knowledge, in Meng Fang Reza K Mashhadifarahani Baosheng Yu the form of seminars, research visits and Ross Farrelly Qinxue Meng Dong Yu mentoring, or more tangible assets, like data sets and computing power. Huan Fu Mahya Mirzaei Poueinag Xiyu Yu Hamid Ghous Maoying Qiao Fan Zhang UTS is also committed to managing student well-being and provides access Chen Gong Fahimeh Ramezani Qian Zhang to free or heavily discounted health and Ji Guan Syed Ali Raza Qin Zhang housing services, counselling, academic Cheng Guo David So Yi Zhang and conversational ESL support, seminars on presentation and paper preparation Jialin Han Renhua Song Hua Zuo and internship placements.

36 Chunyang Liu Bozhong Liu Meng Fang Siamak Tafavogh Ji Guan Yinan Li data mining & AI data mining active & transfer learning data analytics & bioinformatics quantum programming quantum info theory

Mahya Mirzaei Poueinag DeSI Workshop staff & students Zhibin Hong Jia Wu IBM PhD Fellowship recipient visual tracking and classification multi-graph learning

GRADUATED STUDENTS 2012 Dr Khaled Amailef 2014 Dr Wei Bian Dr Meetinder Kaur Mr Jiahang Chen Dr Guohua Liang 2013 Dr Thomas Given-Wilson Graduands: Haitham Yaish, Jing Jiang Dianshuang Wu and Tasneem Neemon (2015) Dr Ahmad Al-Oqaily Dr Lin Hua Mr Kiran Ijaz Dr Jebrin Dr Guodong Long Dr Tao Liu Al-Sharawneh Dr Siamak Tafavogh Dr Jun Ma Dr Ali Anaissi Dr Dianshuang Wu Dr Qusai Shambour Dr Vahid Behbood 2010 Dr Haitham Yaish Dr Franco Ubaudi Mr Muhammad Anshar Dr Wei Bian Dr Tianyi Zhou Dr Yong Yang Dr John Edward Milton Dr Hooman Mr Po Chun Chang Homayounfard Dr Zhigang Zheng Dr Yuming Ou Dr Xun Wang Dr Weiming Liu 2011 Dr Artem Parakhine Dr Yin Song Dr Ning (Philip) Lu Dr Khandaker Islam Dr Ya Gao Mr She Zhong Dr Thi Thanh Dr Benjamin Johnston Dr Ante Prodan Sang Nguyen Dr Chao Luo Dr Julwan Dr Sofianto Lee Hendry Purba Dr Jie (Jack) Zhang Dr Guoxin Su Dr Bo Liu Dr Franco Ubaudi Mr Yan Shan Xiao Dr Tao Wang Dr Hans-Michael Bohlschedi 2009 Dr Jia Hang Chen Dr Paul Bogg Dr Jinju Li Dr Dan Luo Dr Can Wang Dr Li Niu

37 VISITORS

QCIS is fortunate to attract Prof Richard Jozsa | University of Cambridge

prestigious visitors from around Dr Alexander Hauptmann | Carnegie Mellon University, USA

the globe. Many take the time to Prof Witold Pedrycz | University of Alberta, Canada

share their knowledge with staff, Prof Chin-Teng Lin | National Chiao-Tung University, Taiwan students and the public through Prof Baocai Yin | Dalian Uni workshops and seminars. Dr Ben Fortescue | Southern Illinois University, USA Dr Chengjie Zhang | CQT | National University of Singapore

Asst Prof Eric Chitambar | Southern Illinois University, USA

Dr Hua Meng | Southwest Jiatong University, China

Mr Jeonghoon Park | Kyung Hee University

Asst Prof Joseph Fitzsimons | Singapore Uni of Technology & Design

A/Prof Lei Chen | Hong Kong University of Science & Technology

Asst Prof Man-Hong Yung | Tsinghua University, China Prof David Skillicorn | Queens University Prof Masahito Hayashi | Nagoya University, Japan

Prof David Skillicorn | Queens University

Prof Qingfeng Chen | La Trobe University, Australia

Prof Shichao Zhang | Guangxi Normal Uni

Prof Stephen Maybank | University of London

Dr Taolue Chen | Middlesex University London

Prof Wen Gao | Peking University

Prof Shichao Zhang | Guangxi Normal Uni Prof Witold Pedrycz | University of Alberta Prof Xiaokang Yang | Shanghai Jiao Tong University, China

A/Prof Xue Li | The University of Queensland

Mr Xun Gao | Tsinghua Uni

A Prof Yonggang Wen | Nanyang Technological University

Prof Yuwen Qin | Dalian Uni

A Prof Yuxin Deng | Shanghai Jiao Tong Uni

Prof Zhi-hua Zhou | Nanjing University, China

A Prof Yonggang Wen | Nanyang Technological University Prof Zhongxuan Luo | Dalian Uni

38 Prof Eric Chitambar | Southern Illinois University Prof Richard Jozsa | Unversity of Cambridge

A/Prof Joseph Fitzsimmons

Prof Zhongxuan Luo | Dalian University

Prof Zhi-hua Zhou A Prof Yuxin Deng Prof Wen Gao | Peking University Prof Baocai Yin

Dr Alexander Hauptmann

Asst Prof Man-Hong Yung | Tsinghua University Prof Chin-Teng Lin | National Chiao-Tung University Prof Stephen Maybank | University of London

39 WORKSHOPS & SEMINARS

10.03 Prof Herschel Rabitz, Princeton University Control of Quantum Phenomena and in Chemistry: Learning from Each Other

09.04 Dr Raymond Lal, Oxford University General Probabilistic Theories on Arbitrary causal structures

12.06 Prof Chengqi Zhang, UTS Overview of research in the Centre for Quantum Computation & Intelligent Systems

Prof Herschel Rabitz: Control of Quantum Phenomena

19.06 Dist Prof Mingsheng Ying Quantum programming: From superposition of data to superposition of programs

03.07 Prof Jianwen Su, UC Santa Barbara Artifact-centric approach to business process modeling

14.08 Prof Runyao Duan, UTS Quantum effects in zero-error communication, non-commutative graph theory, and the Lovasz theta function

28.08 Prof Dacheng Tao, UTS Matrix decomposition – a savoury ingredient for Distinguished Prof Mingsheng Ying: applying ‘superposition’ to quantum programs cooking your research

09.09 Prof Richard Jozsa, University of Cambridge Matchgates, fermions and Lie algebras

15.09 Prof Stephen Maybank, University of London Image recognition via two-dimensional random projection and nearest constrained subspace

18.09 A/Prof Michael Bremner, UTS Comparing quantum and classical computers

25.09 A/Prof Ivor Tsang, UTS The emerging big dimensionality and its applications

02.10 Prof Yuan Feng, UTS qCCS: a framework for verification of quantum communication protocols

03.10 A/Prof Bingsheng He, Nanyang Technological University When HPC meets big data: emerging HPC technologies for real-time data analytics Prof Steven J Maybank Image recognition via 2D random projection

40 10.03 Prof Herschel Rabitz, Princeton University Control of Quantum Phenomena and in Chemistry: Learning from Each Other

09.04 Dr Raymond Lal, Oxford University General Probabilistic Theories on Arbitrary causal structures

12.06 Prof Chengqi Zhang, UTS Overview of research in the Centre for Quantum Computation & Intelligent Systems

Prof Alex Hauptmann: Uncontrolled Video Analysis as Big Data

09.10 A/Prof Min-Hsiu Hsieh, UTS Introduction to quantum information theory

16.10 Dr Ling Chen, UTS Frequent pattern mining over uncertain data

21.10 Dr Alex Hauptmann, Carnegie Mellon University Unconstrained video analysis as big data

31.10 Prof Sanjiang Li, UTS Qualitative spatial representation and reasoning: an introduction

05.11 Prof Wray Buntine, Monash University Experiments with non-parametric topic models Mr Christian Dehnert: Probabalistic Automata Dr Youming Qiao: removing randomness

06.11 Dr Lu Qin, UTS Graph processing in the era of big data

10.11 Mr Christian Dehnert, RWTH Aachen University Accelerating predicate abstraction for probabilistic automata

13.11 Dr Youming Qiao, UTS On removing randomness from computation

20.11 Dr Ying Zhang, UTS Efficient query processing on massive spatial Data

24.11 A/Prof Guang-Bin Huang, Nanyang Technological University Extreme Learning Machines (ELM) – towards brain alike learning and fundamentals to big data analytics Guang-Bin Huang: Extreme Learning Machines

41 COLLABORATIONS

Prof Andreas Winter Universitat Autònoma de Barcelona

University of Science and Technology of China The scale and quality of the research effort Lund University within the Centre and a focus on areas of strategic importance ensure the value Stanford University of its work to government and industry. Oxford University Organisations around the world partner with QCIS to solve the problems facing Centre National de la Recherche Scientifique their own organisation and in the process UK Network on Semantics of Quantum Computation help lead the future of business and industry. Ludwig-Maximilians-Universität München | Institut für Informatik University of Pierre and Marie Curie | Computer Science Lab Partnerships are tailored to suit individual requirements - some examples include: Queens University | Prof David Skillicorn  enrolling a higher degree student to iNTeg-Risk | New Technologies & Emerging Risk research a ‘real-world problem’ of mutual interest University of Illinois at Chicago  using QCIS’ consulting services Fudan University  partnering in an ARC Linkage Grant Chinese Academy of Sciences  providing salary funding  IP sharing Tsinghua University | Dept Computer Science & Technology  attending seminars and workshops Universite de Paris 7 More information on ways to collaborate Microsoft Research Ltd with QCIS is available from our website Universitat Autònoma de Barcelona | Prof Andreas Winter http://www.uts.edu.au/research-and- teaching/our-research/quantum- The University of Oxford | Computing Lab | Prof Samson Abramsky computation-and-intelligent-systems/ University of Waterloo | Institute for Quantum Computing | Dr Bei Zeng Perimeter Institute for Theoretical Physics | Dr Zhengfeng Ji University of Franche Comte | Prof Quanhua Xu

Bremen & Freiburg Universities | German Research Centre for Spatial Cognition | Profs C Freksa & B Nebel Leeds University | School of Computing | Prof Anthony G Cohn

University of Gent | Prof Kerre Fern University Hagen | Prof W Halang

42 QCIS currently collaborates with the following international universities, faculties and researchers

Prof Anthony Cohn SCK•CEN Prof Panos Pardolos Shanghai Jiaotong University Leeds University Belgian Nuclear Research Centre University of Florida Joint Research Centre

Ecole Nationale Supérieure des Arts et Industries Textiles | Prof X Zeng

Belgian Nuclear Research Centre | SCK•CEN

Complutense University, Spain | Prof J Montero

University of Jaén | Prof L Martinez Lopez

University of Granada | Prof F Herrera

Ain Shams University | Prof A Salem

Istanbul Technical University | Prof C Kahraman

Iwate University | Prof H Fujita

University of Florida | Prof Panos Pardalos

Beijing Institute of Technology | Prof Y Dai

Huazhong University of Science and Technology | Prof X You

University of London | Birkbeck College | Prof S J Maybank

University College London | Prof J Shawe-Taylor

Microsoft Research Asia | Dr Y Rui

JOINT RESEARCH CENTRES Shanghai Jiaotong University | Joint Research Centre for Intelligent Systems Beijing Institute of Technology | Joint Research Centre for Data Mining and Service Technology Chinese Academy of Sciences Academy of Mathematics and Systems Science | Joint Research Laboratory for Quantum Computation and Quantum Information Processing Tsinghua University | Joint Research Centre for Quantum Computation and Artificial Intelligence Huazhong University of Science and Technology | Joint Research Centre for Cyber-Physical Authentication

43 PROFESSIONAL & EDITORIAL SERVICES

Key Fellowships IET/IEE Fellow 2011-ongoing Dacheng Tao in International International Association of Pattern Recognition (IAPR) Fellow 2012-ongoing Dacheng Tao Professional Organisations International Society for Optical Engineering (SPIE) Fellow 2012-ongoing Dacheng Tao

British Computer Society (BCS) Fellow 2011-ongoing Dacheng Tao

International Statistical Institute Elected Member 2011-ongoing Dacheng Tao

Stanford Centre for Computers & Law, Stanford University, USA Fellow 2009-ongoing MA Williams

Australian Computer Society Fellow 2013-ongoing MA Williams

Australian Computer Society Fellow 2009-ongoing Chengqi Zhang

Key roles in IEEE Task Force on Educational Data Mining Chair 2011-ongoing Longbing Cao International IEEE Task Force on Behaviour and Social Informatics Chair 2012-ongoing Longbing Cao Professional Organisations European Society for Fuzzy Logic and Technology (EUSFLAT) Board member 2013-ongoing Jie Lu

KR Incorporated Director 2010-ongoing MA Williams

Excellence in Research for Australia Research Evaluation Committee Chair 2011-2013 MA Williams

IEEE Technical Committee for Intelligent Informatics Chair 2014-ongoing Chengqi Zhang

Australian Computer Society National Committee for Artificial Chair 2005-ongoing Chengqi Zhang Intelligence (AI)

Chairs at FLINS2014: The 11th International FLINS Conference on Decision Program Chair 17-20 Aug Jie Lu international Making and Soft Computing, João Pessoa, Brazil conferences AusDM 2014: The 12th Australasian Data Mining Conference Co-Chair 27-28 Nov Paul Kennedy Brisbane, Australia

Keynote IEEM 2014: The 21st International Conference on Industrial 1-2 Nov Jie Lu speeches Engineering and Engineering Management, Zhuhai, Malaysia delivered at The ITCA & ISCIIA 2014 conference, Changsha, China 16-17 Sep Jie Lu international conferences PIC2014: IEEE International Conference on Progress in Informatics 16-18 May Jie Lu and Computing, Shanghai, China

44 Editorial Services for International Journals LNCS Transactions on Computational Collective Intelligence Member, Editorial Board 2011-ongong Longbing Cao International Journal of Social Network Mining (IJSNM) Member, Editorial Board 2011-ongoing Longbing Cao International Journal of Intelligent Inform-ation and Database Systems (IJIIDS) Member, Editorial Board 2011-ongoing Longbing Cao International Journal of Data Mining, Modelling and Management (IJDMMM) Member, Editorial Board 2011-ongoing Longbing Cao Knowledge and Information Systems: An International Journal Associate Editor 2012-ongoing Longbing Cao IEEE Transactions on Systems, Man and Cybernetics: Systems Associate Editor 2012-ongoing Longbing Cao International Journal of Knowledge-Based Systems (Elsevier) Editor-in-Chief 2009-ongoing Jie Lu International Journal of Computational Intelligence Systems Editor-in-Chief 2007-ongoing Jie Lu Book series: Intelligent Information Systems (World Scientific) Editor 2007-ongoing Jie Lu Book series: Computer Engineering and Information Science (World Scientific) Editor 2011-ongoing Jie Lu Book series: Computational Intelligence Systems (Atlantis Press /Taylor & Francis) Editor 2011-ongoing Jie Lu IADIS International Journal on Computer Science & Information Systems (IJCSIS) Member, Editorial Board 2006-ongoing Jie Lu International Journal of Computational Science Member, Editorial Board 2006-ongoing Jie Lu International Journal of Nuclear Governance Economy and Ecology (IJNG2E) Scientific & Editorial Cmtee 2006-ongoing Jie Lu IEEE Transactions on Systems, Man and Cybernetics: Systems Associate Editor 2013-ongoing Jie Lu IEEE Transactions on Fuzzy Systems Associate Editor 2013-ongoing Jie Lu - Special: Web-Based Intelligence Support Systems using Fuzzy Set Technology Guest Editor 2014 Jie Lu IEEE Transactions on Systems, Man and Cybernetics: Part B Associate Editor 2012-ongoing Dacheng Tao Pattern Recognition Associate Editor 2011-ongoing Dacheng Tao Neurocomputing (Elsevier) Associate Editor 2007-ongoing Dacheng Tao Computational Statistics & Data Analysis (Elsevier) Associate Editor 2009-ongoing Dacheng Tao Information Sciences (Elsevier) Associate Editor 2010-ongoing Dacheng Tao Pattern Analysis and Applications (Springer) Associate Editor 2010-ongoing Dacheng Tao Neural Processing Letters (Springer) Associate Editor 2010-ongoing Dacheng Tao EURASIP Signal Processing Journal (Elsevier) Member, Editorial Board 2010-ongoing Dacheng Tao Artificial Intelligence Journal (Elsevier) Review Editor 2007-ongoing Mary-Anne Williams American Association of Artificial Intelligence/MIT Press Member, Editorial Board 2006-ongoing Mary-Anne Williams International Journal of Software and Informatics Member, Editorial Board 2009 – ongoing Mingsheng Ying Artificial Intelligence Journal (Elsevier) Associate Editor 2008 – ongoing Mingsheng Ying Science in China F: Information Science Member, Editorial Board 2008 – ongoing Mingsheng Ying Frontiers of Computer Science in China Member, Editorial Board 2006 – ongoing Mingsheng Ying Journal of Automation Member, Editorial Board 2004 – ongoing Mingsheng Ying Journal of Computer Science and Technology Member, Editorial Board 2002 – ongoing Mingsheng Ying Fuzzy Sets & Systems (Elsevier) Member, Editorial Board 2000 – ongoing Mingsheng Ying International Journal of Data Warehousing and Mining (IJDWM) Associate Editor 2004 – ongoing Chengqi Zhang Web Intelligence and Agent Systems: An International Journal (WIAS) Associate Editor 2003-ongoing Chengqi Zhang International Journal of Nuclear Governance Economy and Ecology – (IJNG2E) Scientific & Editorial Cmtee 2007-ongoing Guangquan Zhang International Journal of Computational Intelligence Systems (IJCIS) Member, Editorial Board 2007-ongoing Guangquan Zhang Journal of Fuzzy Mathematics (USA) Advisory Editor 1993-ongoing Guangquan Zhang

45 The scientific man does not aim at an immediate result. He does not expect that his advanced ideas will be readily taken up. His work is like that of the planter - for the future. His duty is to lay the foundation for those who are to come, and point the way.”

Nikola Tesla “Radio Power Will Revolutionize the World” Modern Mechanics and Inventions - July 1934

46 47 The Centre for Quantum Computation & Intelligent Systems Faculty of Engineering and Information Technology, University of Technology Sydney

http://www.qcis.uts.edu.au [email protected] | PO Box 123 | CB11.10 UTS | Broadway NSW 2007 | +61 2 9514 1263

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