Professor Elizabeth Chang

Professor in Logistics and IT
School of Business
UNSW Canberra Cyber
  • ABOUT
  • PUBLICATIONS

Professor Elizabeth Chang is Professor of Logistics and Canberra Fellow at UNSW at Australian Defence Force Academy (ADFA).

Professor Elizabeth Chang has been a Professor of Logistics and IT at the UNSW Canberra. She has 30 years of work experience in both Academia and Industry. This includes 16 years as a full Professor in IT, Software engineering and Defence Logistics in 3 different universities in Australia; 12 years in commercial industries, typically working on large commercial grade system development. She has BSc, MSc and PhD in Computer Science and Software Engineering. Her key research strength is in large complex software development, including key element of big data, trust, security and risk. In the 2012 edition of MIS Quarterly vol. 36 issue. 4 Special Issues on Business Research, Professor Chang was listed fifth in the world for researchers in Business Intelligence.

 

Prof Chang has delivered 60+ Keynote/Plenary speeches largely at major IEEE Conferences and most recent in the area of big data analytics and business intelligence. She has published 8 authored books, over 300 international journal papers and 300 refereed conference papers with an H-Index of 49 (Google Scholar) and over 14000 citations. Together with Defence, she has filed 2 Patents in 2018-2019, this is the first 2 Patents in its 55 years of Defence engagement between UNSW and Defence.

 

Her achievement includes 30 Competitive Research Grants including 12 Australian Research Council (ARC) grants worth over $16 million. In the last 5 years she awarded 8 Defence Related Research Contracts of total $3,150,000 and 2 ARC grants $700k and total worth a total $3.85million dollars in cash (2015-2021).  She has supervised/co-supervised 52 PhD theses to completion, 21 Masters and 21 post-docs.

 

She was the Foundation Director for Tier 1 Institute of Excellence on Digital Ecosystems and Business Intelligence for 6 years and the Founding Director for a number of CoEs, including the CoE for Extended Enterprises and Business Intelligence, Centre of eCommerce and IT Applications, Centre for Logistics Informatics at other Australian Universities before 2013.  She is excellent in working with public and private sector professionals, academics from many fields. Prof Chang has successful collaborated with Australian Department of Defence, Fleetwood Corp WA (CRC-P partner), Blu-logistics QLD (ARC linkage partner). WA Department of Planning and Infrastructure, Department of Transport, WA Department of Education, Main Roads, Specialized Container Transports,; JR Bulk liquid transport. Listen to what they have to say about Prof Chang’s leadership: Mr. Steve Wallis: CTO, Fleetwood Corp, http://www.youtube.com/watch?v=USJMv2p5UQI&feature=relmfu; Professor Greg Martin: Former Director General, Dept of Transport http://www.youtube.com/watch?v=NdnL3gOOLBg; Professor Charles Watson, Former PVC, Faculty of Health http://www.youtube.com/watch?v=7v5Ok4Omu0s; Professor Lance Towmey, Former Vice Chancellor http://www.youtube.com/watch?v=USJMv2p5UQI&feature=relmfu.

 

She was a CIO/CTO for a multi-national transport logistics corporation in Hong Kong, incorporating 40 warehouses in China, 16 warehouses in Asia Pacific and were partners with 106 Americold stores in USA, and more recently worked with Australian Defence and successfully delivered several logistics ICT systems. These experiences allowed her to acquire a thorough understanding of the real issues facing industry, business and government; and these practical insights provided the essential foundations for her success in academia, leadership, grants and top student survey.

 

She is an IEEE Fellow and has been Chair/Co-Chair for IEEE IES Technical Committee on Industrial Informatics since 2010. Chair of the IFIP International Working Group 2.1/12.4 on Web Semantics since 2012. She is also an Associate Editor for IEEE Transactions on Industrial Electronics (since 2007) and Guest Editor on IEEE Transactions on Industrial Informatics (since 2005), Co-editor in chief for International Journal on Engineering Intelligent Systems. She has been General chair and Technical Chair for over 20 International and IEEE Conferences.

 

Professor Chang Keynotes and Plenary Address in the last 5 years

 

  1. Elizabeth Chang, S. Green A. Ghildyal, etal (2019) “Blockchain, how to let your big data sing”, 7th International Conference on Big Data Analytics (BDA2019), Gujarat, India during December 17-20, 2019
  2. A. Ghildyal, S. Green, Elizabeth Chang (2019), “Digital Transformation - Managing Risk with Blockchain”, Digital Summit 2019, National Convention Centre Canberra, 3 October 2019.
    Elizabeth Chang, A. Ghildyal, S. Green (2019), “Developing a Smart Contract, Leveraging Blockchain and AI to create visibility and accountability throughout the supply chain”, CIPS Australasia Conference & Supply Management Awards, Park Hyatt, Melbourne 16-17 July 2019
  3. Elizabeth Chang, A. Ghildyal, S. Green (2019), “Blockchain and AI Application”, The Einstein Global Summit 2019, "Applying AI and Deep Learning for Enterprises and Institutions 2019: The Next Chapter", 8-10 May 2019, Melbourne, Australia
  4. TS Dillon, Elizabeth Chang (2019), “Blockchain, IoT abd Trust for Supply Chain, Issues and Challenges” Beijing, Chain 2019
  5. Elizabeth Chang (2019), “Transformation Government with Digital Transformation”, TM Forum, Lisbon 11-15 Feb 2019
  6. Elizabeth Chang (2018) “Blockchain for Supply Chain and other Industrial Applications” INVITED KEYNOTE, 18-19 Sept 2018, Australian Supply Chian Conference, Sydney 2018
  7. Elizabeth Chang (2018) “From Granulation to Stratification” INVITED KEYNOTE, 29-21 May 2018, 7th World Conference on Soft Computing, Baku, Azerbaijan
  8. Elizabeth Chang (2018)Stratification, Target and Incremental Enlargement Principles” INVITED PLENARY SPEECH, 5-6 Feb 2018, The Symposium of Fuzzy Logic and Fuzzy Sets, UC Berkeley, California
  9. Elizabeth Chang, Ashley Jensen (2017) “25 Years of e-Business Engineering, where we are going”, INVITED KEYNOTE,14th IEEE International Conference on e-Business Engineering, ICEBE 2017, 4-6 Nov 2017, Shanghai, China
  10. Elizabeth Chang, Ashley Jensen (2017) “Predictive Analytics for Warehousing and Logistics Operations, Invited Plenary Speech, Smart Warehouse Summit 2017, 24-25 Oct 2017, Sydney, Australia
  11. Elizabeth Chang (2017) “A Data Governance and Data Stewardship Framework for Distributed Management of Data Abuse”, INVITED KEYNOTE, APDM – IJCAI 2017; Abuse Prevention Data Mining Workshop at Int Joint Conference on Artificial Intelligence, Aug 2017, Melbourne, Australia
  12. Elizabeth Chang, Achim Karduck (2017) “Revolutionise Decision Making through Big data and Artificial Intelligence”, INVITED PLENARY, Global Big data Defence 2017 Summit, 26-28 June 2017, Sofitel Berlin Kurfurstendamm, Germany
  13. Elizabeth Chang, Steve Cannon (2017) “Open Sources and Artificial Intelligence, fit for Purpose”, INVITED KEYNOT, NATO World Codification Forum, 24-25 May 2017, Melbourne Convention Centre, Australia
  14. Steve Cannon, Elizabeth Chang (2017) “Cognitive Decision Support for Defence Logistics and Sustainment”, INVITED PLENARY, Smart Supply Chain and Logistics Conference SMART 2017 29-30 March 2017, International Convention Centre, Sydney, Australia
  15. Elizabeth Chang, Florian Gottwalt, Yu Zhang (2017) “Trust and Security in IoT and 5G”, INVITED KEYNOTE, Symposium on Wireless Communication Networks and IoT at International Conference on Nextgenation of Electronic Technology: Silicon to Software, (ICNETS2), March 23-25, 2017, Chennai, India
  16. Elizabeth Chang etal (2017) “The Defence Logistics Situation Awareness Tool Powered by Geospatial and Business Intelligence” INVITED PLENARY, Defence Geospatial Intelligence, 23-25 Jan 2017, QEII, London
  17. Elizabeth Chang (2016), “Semantics Data Integration through the use of Fuzzy Approximate Reasoning and Defuzzification, International Conference on Fuzzy Management Methods” INVITED KEYNOTE, ICFMsquare 2016, Sept, Switzerland.
  18. Elizabeth Chang, etal (2016) “Intelligent Situational Awareness powered by Internet of Things and Human-Centred Recommender Systems” INVITED KEYNOTE, International Conference on Wireless & Telecommunication and Business Expo, Dubai, UAE April 21-22, 2016
  19. Tharam Dillon., Elizabeth Chang., (2016), “Trust and Risk Semantics and Prediction through Big Data Analytics - To Encompass Cloud Service, Cyber-Physical Systems and Social Media, Issues and Challenges” INVITED KEYNOTE, The 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TRUSTCOM-16), TIANJIN, CHINA, 23-26 AUGUST, 2016
  20. Elizabeth Chang etal (2016) An Elastic, On-Demand, Data Supply Chain for Human Centred Information Dominance, INVITED KEYNOTE, IIP2016, 18-21 November, 2016, Melbourne, Australia.
  21. Elizabeth Chang, etal (2016) “50 years of Business Intelligence and its Impact on ICT Governance and Organization Performance”, INVITED PLENARY, Business Intelligence and Analytics Conference (BIAC2016), Melbourne, Australia.
  1. Elizabeth Chang, Matt Machizaud: “Smart Ship - Advances in Internet of Things and Cyber Physical Systems and its Application”, INVITED KEYNOTE, International Conference and Business Expo on Wireless Communication & Network September 21-23, 2015 Baltimore, USA.
  2. Elizabeth Chang, J. Wenny Rahayu, M. Diallo, M. Machizaud “Dynamic Data Mart  for Enterprise Heterogeneous, Big Data and System Integration through utilizing Data Marshalling, Data Meshing Data Mining  and Automated Data Intelligence, INVITED KEYNOTE, IFIP World Computer Congress (WCC 2015), 3-7 Oct 2015, Daejeon, Korea.
  3. Elizabeth Chang: “50 years of evolution Smart Cities and empowerment of intelligent logistics ecosystems on social, economic and environmental development”, INVITED KEYNOTE, 11th International Conference on Innovations in Information Technology, Nov 1-3 2015, Dubai, UAE.
  4. Tharam Dillon, Elizabeth Chang “Big Data, Deep Knowledge and Significant Impact”, INVITED KEYNOTE, IEEE International Symposium on Advanced Computing and Communication (IEEE ISACC 2015), 14–15 September 2015, Silchar, India
  5. Elizabeth Chang, James Hinton, Steve Cannon “50 years of Business Intelligence and its empowerment in Defence Logistics” INVITED PLENARY, Defence Logistics 2015, 1-3 Dec 2015, Hilton Alexandria Mark Center, Alexandria, VA, USA

 

 Recent Patent Award
 

Patent 1: Blockchain Enabled Compliance and Risk Management Method and Tool,

Patent Number: 2018903509, filed on 18 Sept 2018, ref 101818AUV00; Filed #: PCT/AU2019/050997

The Commonwealth of Australia represented by the Department of Defence and NewSouth Innovations PL. The inventors are E. Chang, Stuart Green and Amit Ghildyal

 

Patent 2: Methodology for Application and Database Migration to a Blockchain Environment

Patent Number: 2019902432, filed on 9 July 2019, ref 104802AUV00

The Commonwealth of Australia represented by the Department of Defence and NewSouth Innovations PL. The inventors are E. Chang, Stuart Green and Amit Ghildyal

                                     

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Professor Chang's Competitive Research Contract and ARC Grant Awards

Grant #

Project Details

Period

Amount

Industry Partners

  1.  

Defence Research Contract, ASDEFCON, Phase III, SP020,

Defence Logistics and Risk Management

2020-2021

$500,000

 

Department of Defence

  1.  

Defence Innovation Award, “Vehicle Assurance Sampling”.

2020

$300,000

Department of Defence

  1.  

Defence Research Contract, ASDEFCON, Phase II, SP020,

Defence Logistics and Risk Management

2019-2020

$550,000

Department of Defence

  1.  

Defence Research Contract, ASDEFCON, Phase I, SP020,

Defence Logistics and Risk Management

2018-2019

$330,000

Department of Defence

  1.  

ARC LP160100080 and Title: “Economically Efficient Green Logistics through Cyber-Physical Systems”

2016-2019

$360,000

($270,198 from ARC, and $90,000 from Industry)

Blu Logistics PL, Queensland

  1.  

Contract# MO/RD/00418/2015

Faceplate-The Defence Logistics Intelligence

2016-2017

$750,000

 

Department of Defence

  1.  

ARC LP150101058,

Intelligent CRM through Conjoint Data Mining of Heterogeneous Information

Resources

2015-2018

$369,000

($219,000 from ARC, and $150,000 from Industry)

  • FastTrack
  • Object Management Group (OMG)

 

  1.  

Contract# MO/RD/00418/2015

Faceplate-The Defence Logistics Intelligence

2015-2016

$500,000

 

Department of Defence

  1.  

RC46909 “Intelligent cloud-based application to Milk Logistics” Department of Industry and Science

2015-2016

$105,930

JR Bulk Logistics, Brisbane

  1.  

Army Grants, Defence-related Research Funding Scheme $20K

Ships as Warehouses in MILIS (SWIM), Rector’s Fellowship funds etc

2014-2015

$54,000

Army Research Scheme, and Defence-related Research Funding Scheme

  1.  

A Conjoint Data Mining Approach for Minimizing Emissions and multi-criteria Quality of Service standard

2 PhD Scholarship Funds

2014-2017

$180,000

BluLogistics, QL and UNSW

  1.  

Research Infrastructure funds - Logistics Insight lab

2016-2017

$150,000

UNSW and Department of Defence

  1.  

ARC LP110200118, Intelligent CRM and risk management in multi-Information Sources for Transportation

2012 – 2015

Late Start

$617,000, ($342,000 from ARC and $275,000 from Industry)

  • Department of Transport
  • Object Management Group (OMG)

 

  1.  

Domain-Driven Information Quality for Road Transport System

2011 – 2014

Late Start

$240,000 from Dept of Transport

 

Department of Transport

 

  1.  

ARC LP100200693, Intelligent real-time remote controller for conserving energy in regional areas and resource industry

2010 - 2013

$450,000, ($300,000 from ARC and $150,000 from Industry)

Fleetwood Corporation Limited Inc.

 

  1.  

ARC LP0990610, Congestion management in key road networks through real-time data mining, intelligent forecasting

2009 – 2012

$404,000, ($314,193 from ARC and $90,000 from Industry)

  • Main Roads Western Australia
  • WA Planning and Transport Research Centre (PATREC)

 

  1.  

Data Quality and Data Cleansing

2009-2010

$50,000

  • Department of Infrastructure and Planning
  1.  

ARC LP0669242, An intelligent essay marking tool for the education sector

2008-2012

 

Delayed start

$740,000, ($530,000 from ARC and $210,000 from Industry)

  • Department of Education and Training
  • Macquarie Library Pty Ltd
  1.  

Information Security, Wireless Sensor Networks for Oil and Gas Industries

2009

$25,000

  • StatOil Hydro, Norway
  • SINTEF, Norway
  1.  

ARC DP0556443, "An XML - Enabled Association Rule Framework".

2006-2008

$282,000

Tsinghua University, China

 

  1.  

ARC LP0560346, Trusted environment for Virtual Collaboration

2005-2008

$611,000

Specialized Container Transport, Australia

  1.  

ARC LP0454029, Ontology-based multi-site distributed software development

2004-2007

$753,000

University of Lancaster, UK

CE Solutions, NSW

Hunter IS, NSW; CastleSoft, NSW; Computer Associates WA

  1.  

ARC LP0349100, Palladium based security and privacy

2003-2006

$182,198 ($152,000 from ARC and $30,000 from industry partner)

Communication and Electronic Solutions, NSW

 

 

  1.  

ARC LP0219627, Virtual Collaborative Logistics

2002-2005

 

Delayed start

$450,000

($250,000 from ARC and $200,000 from Industry)

Seapower Resource International Australia

Hong Kong.

 

  1.  

PATREC Logistics Scholarships

2004-2006

$104,000

PATREC (Planning and Transport Research Centre)

  1.  

CRC Flagship project

Tourism development in the remote region

2007

$30,000

CRC Tourism

  1.  

Tier 1 Research Institute of Excellence funds for 5 years

2006-2011

$1.15 Million

Centre of Excellence

  1.  

Tier 1 Research Institute of Excellence Business School internal matching funds for 5 years

2004-2011

$750,000

Centre of Excellence

  1.  

Centre of Excellence grant on Extended Enterprise and Business Intelligence

2003-2005

$210,000

Centre of Excellence

  1.  

e-Warehouse

2001-2002

$51,000

Kersley Group Ltd

  1.  

e-Logistics

2001-2002

$157,000

iPower Logistics International

  1.  

ARC SPIRT, Hybrid Design of Human System Interaction

1997-1999

$176,000

User Interface Metrics, NSW

 

 

 

 

Professor Chang's Call for UNSW Scientia Ph.D. Scholarships in the following areas:

  

Research Title 1: Cognitive Decision Support System for Human-Data Interaction

Research Description:

The research focuses on artificial intelligence and semantic technology to support operation decision making strategically and tactically aimed at reducing mundane and repetitive tasks those humans must perform including low-level data correlation and aggregation and removing mental load from the big-data analytics. The research will focus on cognitive mining, cognitive discovery, cognitive engagement, cognitive visualisation with predictive analytics and the proposed solution is capable of interoperation between existing cooperate application or backend office and can provide the right data at the right time to the right operators to meet their decision needs. This project is funded by Army Research Scheme.

Supervisor Contact Detail: Professor Elizabeth Chang and Dr. Tasneem Memon Elizabeth.chang@unsw.edu.au or t.memon@adfa.edu.au 

 

Research Title 2: Semantics Data Integration through the use of Fuzzy Approximate Reasoning

Research Description:

Corporations today are facing challenges with their heterogeneous systems. Typical medium-large corporations have around 50-2000+ and up to 20,000 systems. The study shows that data integration will improve operation productivity at about 40%. The key challenge is that the data are distributed across different networks and data centers, and was designed with different processes, rules, architecture and some are vendor-managed (outsourced). Furthermore, more and more legacy systems are no longer supported. This research is to focus on the methodology development through the use of semantic integration of dynamic fuzzy dimensions through ontologies, defuzzification, stratification and linguistics summary. This project is in collaboration with UC Berkeley and part of ARC project proposal

Supervisor Contact Detail: Professor Elizabeth Chang, Dr. Omar Hussain and Dr. Morteza Saberi Elizabeth.chang@unsw.edu.au or o.hussain@adfa.edu.au  or m.saberi@adfa.edu.au

 

 

Research Title 3: Intelligent Situation Awareness Powered by Geospatial Intelligence and BI

Research Description:

The project is to address key challenges facing to Defence Logistics particularly in the real-time dynamic situation environment which requires timely data fusion, data visualisation and predictive analytics and translation of big data into insight for rapid troubleshooting and decision making, including anomaly detection, coalition integrated logistics, platform sustainment and reliability, financial decisions and accountability, and gives ‘a sign at-one-glance’ through geospatial intelligence and business intelligence in the contact of time, place, space, distance, connectivity and agent profiling, as well as crowd sourcing models. The research is at the intersection between social science, data science and spatial intelligence. This project is funded by Australian Defence.

Supervisor Contact Detail: Professor Elizabeth Chang, Professor Stuart Pearson and Dr. Daniel Prior

Elizabeth.chang@unsw.edu.au or  s.pearson@adfa.edu.au  or d.prior@adfa.edu.au

 

Research title 4: Risk Prediction and Measurement in Supply Chain

Research description: To harness the unique power of chain management (SCM), organisations should tackle various associated risks such as disruptions, delays. This project focuses on operational risks which represent the uncertainty arising of the non-commitment of day-to-day operations. Shortage of data in forecasting possible operational failures is the main challenge here which can be addressed by harnessing the power of personal relationship based information. However, measuring the credibility of such information is vital as low credibility can be misleading. Thus the aim of this work is to measurement credibility of Personal Relationship-based Information in SCM by using data analytic techniques.

Supervisor Contact Detail: Dr. Omar Hussain, Dr. Morteza Saberi, Prof Elizabeth Chang

o.hussain@adfa.edu.au or m.saberi@adfa.edu.au

 

Research Title 5: Smart ship powered by Computational Intelligence

Research Description:

In the Shipping and Navy environment, the operations and maintenance are dynamic in nature, such as inconsistent connection between shore and off-shore for information exchange, poor ship stability in the sea, lack of robust system to assist asset management with onboard ship, etc, and because values of variables are not known with precision and certainty, and existing work on causality are not applicable to the dynamic problems. This research is to use Z-number and Z-restriction, as well as targeting multicausality and division, to generate a computer simulation model for rules formulation, confidence, validity and reliability and concept proofing. This project is supported by Directorate of Logistics- Navy.

Supervisor Contact Detail: Professor Elizabeth Chang and Dr Omar Hussain

Elizabeth.chang@unsw.edu.au or  o.hussain@adfa.edu.au 

 

Research Title 6: Microservice for Microgrid for economic use of energy

Research Description:

Renewable energy production and distribution represent major growing sectors in the Australian economy. However, with the slowing down of the mining sector, reducing environmental impact, a decline of fossil fuel reserves, energy is becoming more and more expensive. In this research, we aim to develop a microservice for microgrid platform to provide energy usage optimisation and cost as well as trading through community-based microgrid incorporating solar cell energy and storage. The solution incorporates research including microservice architecture, smart-grid, cyber-physical systems and innovation of low-cost solar cell energy and storage. This project is part of ARC linkage proposal.

Supervisor Contact Detail: Prof E. Chang, Prof h.pota and Prof  H. Hattori

Elizabeth.chang@unsw.edu.au or  h.pota@adfa.edu.au  or h.hattori@adfa.edu.au

 

Professor Chang supervised/co-supervised 52 PhDs to completion (positions may not up to date)

  1. Dr Falak Nawaz, PhD thesis passed in Jan 2020 (ANU Post-doc from Oct 2019)
  2. Dr Florian Gottwalt, PhD thesis passed, Dec 2019 (Defence funded Post-doc from Oct 2019)
  3. Dr Mohammad Abolbashari, PhD thesis passed, Dec 2019 (IP Australia)
  4. Dr Michael Yu Zhang, PhD thesis passed, Jan 2020 (Defence funded Reseracher from Oct 2019)
  5. Ms Jenny Shih-Suan Huang, PhD thesis submitted July 2019 (AT&T USA)
  6. Mr Amit Ghildyal, PhD thesis to submit Feb 2020 (Department of Defence)
  7. Dr Mehdi Asadabadi, PhD thesis passed, Sept 2019) (ANU Post-doc from Oct 2019)
  8. Dr Abdullah Ali Salamai, PhD thesis passed, July 2019
  9. Dr Atefe Zakeri, PhD thesis passed, July 2019                         
  10. Dr Monireh Mirtalaie, PhD thesis passed, June 2019 (Griffith Uni from Aug 2019)
  11. Dr Morteza Saberi, PhD awarded in April 2017, (Lecturer UTS, from Jun 2019)  
  12. Dr. Leanne Rees, PhD awarded in April 2017, DSTO Scientist, Adelaide
  13. Dr. Jon Davis, Phd awarded in Nov 2016, (Director, Hunter Information Systems, Newcastle, NSW)
  14.     Dr. Jamshaid Ashraf, thesis passed in Sept 2013 (Data Scientist, WA Department of Transport)
  15.     Dr. Sazia Parvin, thesis passed in Sept 2013 (Lecturer, Curtin University)
  16.     Dr. Azam Esfijani, thesis passed in Sept 2013 (Lecturer, Australia Open University)
  17. Dr. Eddie Pereira, thesis passed in August 2013, (Consultant Engineer, GasTech, Melbourne)
  18. Dr. Adil Hammadi, thesis passed August 2013 (Lecturer, Central TAFF, WA)
  19. Dr. M Abduliah; thesis passed in August 2013 (Casual Tutor, CBS)
  20. Dr. Mohammad Naser M Hamdan; thesis passed in August 2013
  21. Dr. Alireza Faed, thesis passed in Dec 2012 (Associate Lecturer Curtin)
  22. Dr. Sean Lam, thesis passed in Nov 2012 (Researcher, Department of Education, Singapore)
  23. Dr. Ahmad Aladwan, thesis passed in Sept 2012 (Irbid National University, Jordan)
  24. Dr. Leo Pudhota, thesis passed in July 2012. (Project Manager, Main Road WA)
  25. Dr. Padrem  Radmond,  thesis passed in June 2012 (Software Engineer, Western Power)  
  26. Dr. Fahed Mustafa, thesis passed in May 2012 (SAP NetWeaver Team Leader, KPMG, Melbourne)
  27. Dr. Mohammed Alhamad, thesis passed in April 2012 (Lecturer, Al Bayat University, Jordan)
  28. Dr. Olivia Fachrunnisa, PhD awarded Nov 2011 (Lecturer and Researcher, Unissula, Indonesia)
  29. Dr. Robert Williams, PhD awarded August 2011 (Senior Lecturer, Curtin)
  30. Dr. Behrang Zadjabbari, PhD awarded Mar 2011 (Senior consultant, InfoCentric, Melbourne)
  31. Dr. Hai Dong, PhD awarded Sept 2010 (Post-doc Fellow, Curtin)
  32. Dr. Helen Patricia Giggins, PhD awarded (Newcastle Uni) August 2010 (Lecturer, The University of Newcastle)
  33. Dr. David McMeekin, PhD awarded June 2010 (Research Fellow, CRC GIS, Perth)
  34. Dr. David Cooper, PhD awarded August 2010 (Executive Director, Department of Education WA)
  35. Dr. Michael Hecker, PhD awarded in 2010 (Lecturer, School of EECS, Curtin)
  36. Dr. Fedja Hadzic, PhD awarded 2010 (Chancellor’s best thesis award) (Lecturer, School of EECS, Curtin)
  37. Dr. Nguyen Thao, PhD awarded Jan 2009 (Newton Fellowship Award Royal Society) (London Uni, UK)
  38. Dr. Omar Hussain, PhD awarded in 2009 (Chancellor’s best thesis award) (A/Professor UNSW Canberra)
  39. Dr. Amandeep Sidhu, PhD awarded 2008 (Chancellor’s best thesis award) (Lecturer, School of BS Malaysia)
  40. Dr. Chen Wu, PhD awarded 2008 (Associate Professor, SKA group, UWA)
  41. Dr. Chan Cheah, PhD awarded 2007 (Lecturer, RMIT Melbourne)
  42. Dr. Geoff Skinner, PhD awarded 2007 (Senior Lecturer, The University of Newcastle)
  43. Dr. Farookh Hussain, PhD awarded 2007 (Chancellor’s best thesis award) (A/Professor, HoD, UTS)
  44. Dr. Vidy Potdar, PhD awarded 2006 (Early Career Researcher of the year Award) (A/Professor, Curtin)
  45. Ds. Ponpit Wongthamtham, PhD awarded, 2006 (Post-doc Fellow, Curtin)
  46. Dr. Maja Hadzic, PhD awarded in July 2006 (Research Coordinator, The Bethanie Group Inc., Perth)
  47. Dr. William Gardner, PhD awarded in 2006 (Senior Project Manager, SMARTS Group Int. Pty Ltd, Sydney)
  48. Dr. R. Rajugan, PhD awarded in May 2006 (Engineer, CSIRO, Sydney)
  49. Dr Carlo Wouters, PhD awarded (La Trobe) in 2005 (Consultant, LoQutus, Antwerp Area, Belgium)
  50. Dr Torab Torabi, PhD, awarded (La Trobe) in 2004 (Senior Lecturer, La Trobe Uni)
  51. Dr. Alex Talevski, PhD awarded (La Trobe) in 2004 (CTO, AMCO, Melbourne)
  52. Dr. Wenny Rahayu, PhD awarded (La Trobe) in 2001 (Best Thesis Award Australia Computing Society) (Professor and Head of School, La Trobe University)

 

  

 

 

Books

Hussain O; Chang E, 2018, Measuring and Analysing the Use of Ontologies, Springer Verlag, http://dx.doi.org/10.1007/978-3-319-75681-3

Ashraf J; Hussain OK; Hussain FK; Chang EJ, 2018, Preface

Wong AKY; Wong JHK; Lin WWK; Dillon TS; Chang EJ, 2015, Semantically Based Clinical TCM Telemedicine Systems Preface, Studies in Computational Intelligence, SPRINGER-VERLAG BERLIN, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000357693500001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Hussain O; Dillon T; Hussain F; Chang E, 2013, Risk Assessment and Management in the Networked Economy, http://dx.doi.org/10.1007/978-3-642-28690-2

Damiani E; Chang E, 2010, SWWS’10 - PC Co-chairs Message, http://dx.doi.org/10.1007/978-3-642-16961-8_83

Chang E; Damiani E; Dillon TS, 2009, SWWS 2009 PC Co-chairs' message, http://dx.doi.org/10.1007/978-3-642-05290-3_99

Dillon T; Chang E; Meersman R; Sycara K, 2008, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

Chang E; Mylopoulos J, 2007, SWWS 2007 PC co-chairs' message, PART 2

Book Chapters

Ghildyal A; Ru D; Chang E; Joiner K; Saberi M; Despande A, 2021, 'Conceptual Framework for Measuring Project Benefits Using Belief—Plausibility and Type 1 Fuzzy Inference System', in Studies in Fuzziness and Soft Computing, pp. 243 - 256, http://dx.doi.org/10.1007/978-3-030-47124-8_20

Jnitova V; Efatmaneshnik M; Joiner K; Chang E, 2020, 'Improving Enterprise Resilience by Evaluating Training System Architecture: Method Selection for Australian Defence (accepted)', in Handley H; Tolk A (ed.), A Framework for Human System Engineering Applications and Case Studies, IEEE Press

Saberi M; Saberi Z; Aasadabadi MR; Hussain OK; Chang E, 2020, 'A Customer-Oriented Assortment Selection in the Big Data Environment', in Lecture Notes on Data Engineering and Communications Technologies, pp. 161 - 172, http://dx.doi.org/10.1007/978-3-030-34986-8_11

Ashraf J; Hussain OK; Hussain FK; Chang EJ, 2018, 'Ontology Usage Analysis Framework (OUSAF)', in Measuring and Analysing the Use of Ontologies, Springer, pp. 49 - 62, http://dx.doi.org/10.1007/978-3-319-75681-3_3

Ashraf J; Hussain OK; Hussain FK; Chang EJ, 2018, 'New Research Directions', in Studies in Computational Intelligence, pp. 269 - 271, http://dx.doi.org/10.1007/978-3-319-75681-3_10

Ashraf J; Hussain OK; Hussain FK; Chang EJ, 2018, 'Utilization Phase: Utilization of OUSAF', in Studies in Computational Intelligence, pp. 205 - 242, http://dx.doi.org/10.1007/978-3-319-75681-3_8

Ashraf J; Hussain OK; Hussain FK; Chang EJ, 2018, 'Investigation Phase: Quantitative Analysis of Domain Ontology Usage (QUA-AF)', in Studies in Computational Intelligence, pp. 141 - 169, http://dx.doi.org/10.1007/978-3-319-75681-3_6

Ashraf J; Hussain OK; Hussain FK; Chang EJ, 2018, 'Identification Phase: Ontology Usage Network Analysis Framework (OUN-AF)', in Studies in Computational Intelligence, pp. 63 - 101, http://dx.doi.org/10.1007/978-3-319-75681-3_4

Ashraf J; Hussain OK; Hussain FK; Chang EJ, 2018, 'Representation Phase: Ontology Usage Ontology (U Ontology)', in Studies in Computational Intelligence, pp. 171 - 203, http://dx.doi.org/10.1007/978-3-319-75681-3_7

Ashraf J; Hussain OK; Hussain FK; Chang EJ, 2018, 'Measuring and Analysing the Use of Ontologies A Semantic Framework for Measuring Ontology Usage', in Studies in Computational Intelligence, pp. 3 - 26

Ashraf J; Hussain OK; Hussain FK; Chang EJ, 2018, 'Closing the Loop: Placing Ontology Usage Analysis in the Ontology Development and Deployment Lifecycle', in Studies in Computational Intelligence, pp. 23 - 47, http://dx.doi.org/10.1007/978-3-319-75681-3_2

Ashraf J; Hussain OK; Hussain FK; Chang EJ, 2018, 'Motivation', in Studies in Computational Intelligence, pp. 1 - 21, http://dx.doi.org/10.1007/978-3-319-75681-3_1

Ashraf J; Hussain OK; Hussain FK; Chang EJ, 2018, 'Investigation Phase: Empirical Analysis of Domain Ontology Usage (EMP-AF)', in Studies in Computational Intelligence, pp. 103 - 140, http://dx.doi.org/10.1007/978-3-319-75681-3_5

Ashraf J; Hussain OK; Hussain FK; Chang EJ, 2018, 'Evaluation of U Ontology', in Measuring and Analysing the Use of Ontologies, Springer, pp. 243 - 268, http://dx.doi.org/10.1007/978-3-319-75681-3_9

Mostafa F; Dillon T; Chang E, 2017, 'Neural networks and financial forecasting', in Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk, Springer, pp. 51 - 80, http://dx.doi.org/10.1007/978-3-319-51668-4_4

Mostafa F; Dillon T; Chang E, 2017, 'Important problems in financial forecasting', in Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk, Springer, pp. 81 - 90, http://dx.doi.org/10.1007/978-3-319-51668-4_5

Mostafa F; Dillon T; Chang E, 2017, 'Time series modelling', in Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk. Studies in Computational Intelligence, Springer, pp. 9 - 30, http://dx.doi.org/10.1007/978-3-319-51668-4_2

Davis J; Chang E, 2017, 'Variant logic for model driven applications', in Application Development and Design: Concepts, Methodologies, Tools, and Applications, pp. 988 - 1022, http://dx.doi.org/10.4018/978-1-5225-3422-8.ch043

Davis J; Chang E, 2017, 'Optimized and distributed variant logic for model-driven applications', in , pp. 1023 - 1072, http://dx.doi.org/10.4018/978-1-5225-3422-8.ch044

Davis J; Chang E, 2017, 'Optimized and distributed variant logic for model-driven applications', in Computer Systems and Software Engineering: Concepts, Methodologies, Tools, and Applications, pp. 806 - 855, http://dx.doi.org/10.4018/978-1-5225-3923-0.ch032

Mostafa F; Dillon T; Chang E, 2017, 'Introduction', in Studies in Computational Intelligence, pp. 1 - 7, http://dx.doi.org/10.1007/978-3-319-51668-4_1

Mostafa F; Dillon T; Chang E, 2017, 'Options and options pricing models', in Studies in Computational Intelligence, pp. 31 - 49, http://dx.doi.org/10.1007/978-3-319-51668-4_3

Mostafa F; Dillon T; Chang E, 2017, 'Conclusion and discussion', in Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk. Studies in Computational Intelligence, Springer, pp. 149 - 158, http://dx.doi.org/10.1007/978-3-319-51668-4_9

Mostafa F; Dillon T; Chang E, 2017, 'Option pricing', in Studies in Computational Intelligence, pp. 113 - 135, http://dx.doi.org/10.1007/978-3-319-51668-4_7

Mostafa F; Dillon T; Chang E, 2017, 'Volatility forecasting', in Studies in Computational Intelligence, pp. 91 - 112, http://dx.doi.org/10.1007/978-3-319-51668-4_6

Mostafa F; Dillon T; Chang E, 2017, 'Value-at-Risk', in Studies in Computational Intelligence, pp. 137 - 147, http://dx.doi.org/10.1007/978-3-319-51668-4_8

Potdar V; Sharif A; Chang E, 2016, 'RFID technology and its industrial applications', in Industrial Communication Systems, pp. 9

Potdar V; Sharif A; Chang E, 2016, 'Industrial strength wireless multimedia sensor network technology', in Industrial Communication Systems, pp. 11

Chang E; Rahayu W; Diallo M; Machizaud M, 2015, 'Dynamic data mart for business intelligence', in Artificial Intelligence in Theory and Practice IV, Springer, pp. 50 - 63, http://dx.doi.org/10.1007/978-3-319-25261-2_5

Wong AKY; Wong JHK; Lin WWK; Dillon TS; Chang EJ, 2015, 'Recapitulation and Future Directions', in Semantically Based Clinical TCM Telemedicine Systems, edn. Studies in Computational Intelligence, SPRINGER-VERLAG BERLIN, pp. 137 - 152, http://dx.doi.org/10.1007/978-3-662-46024-5_8

Wong AKY; Wong JHK; Lin WWK; Dillon TS; Chang EJ, 2015, 'Ontology for Traditional Chinese Medicine (TCM)', in Semantically Based Clinical TCM Telemedicine Systems, edn. Studies in Computational Intelligence, SPRINGER-VERLAG BERLIN, pp. 77 - 98, http://dx.doi.org/10.1007/978-3-662-46024-5_4

Wong AKY; Wong JHK; Lin WWK; Dillon TS; Chang EJ, 2015, 'The TCM Ambit', in Semantically Based Clinical TCM Telemedicine Systems, edn. Studies in Computational Intelligence, SPRINGER-VERLAG BERLIN, pp. 19 - 28, http://dx.doi.org/10.1007/978-3-662-46024-5_2

Wong AKY; Wong JHK; Lin WWK; Dillon TS; Chang EJ, 2015, 'Semantics and Ontology', in Semantically Based Clinical TCM Telemedicine Systems, edn. Studies in Computational Intelligence, SPRINGER-VERLAG BERLIN, pp. 29 - 76, http://dx.doi.org/10.1007/978-3-662-46024-5_3

Wong AKY; Wong JHK; Lin WWK; Dillon TS; Chang EJ, 2015, 'TCM Telemedicine Infrastructure', in Semantically Based Clinical TCM Telemedicine Systems, edn. Studies in Computational Intelligence, SPRINGER-VERLAG BERLIN, pp. 129 - 136, http://dx.doi.org/10.1007/978-3-662-46024-5_7

Wong AKY; Wong JHK; Lin WWK; Dillon TS; Chang EJ, 2015, 'Telemedicine and Knowledge Representation for Traditional Chinese Medicine', in Semantically Based Clinical TCM Telemedicine Systems, edn. Studies in Computational Intelligence, SPRINGER-VERLAG BERLIN, pp. 1 - 17, http://dx.doi.org/10.1007/978-3-662-46024-5_1

Wong AKY; Wong JHK; Lin WWK; Dillon TS; Chang EJ, 2015, 'Ontology Driven System Generation and Remote Installation', in Semantically Based Clinical TCM Telemedicine Systems, edn. Studies in Computational Intelligence, SPRINGER-VERLAG BERLIN, pp. 99 - 116, http://dx.doi.org/10.1007/978-3-662-46024-5_5

Wong AKY; Wong JHK; Lin WWK; Dillon TS; Chang EJ, 2015, 'Ontology Evolution and the Living TCM Ontology', in Semantically Based Clinical TCM Telemedicine Systems, edn. Studies in Computational Intelligence, SPRINGER-VERLAG BERLIN, pp. 117 - 128, http://dx.doi.org/10.1007/978-3-662-46024-5_6

Davis J; Chang E, 2014, 'Optimized and distributed variant logic for model-driven applications', in Handbook of Research on Innovations in Systems and Software Engineering, pp. 428 - 478, http://dx.doi.org/10.4018/978-1-4666-6359-6.ch018

Chang EJ; Hussain OK; Dillon TS, 2013, 'Application of fuzzy inference systems in real world scenarios', in Studies in Fuzziness and Soft Computing, pp. 101 - 107, http://dx.doi.org/10.1007/978-3-642-35641-4-16

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