Professor Elizabeth Chang | UniSC | University of the Sunshine Coast, Queensland, Australia

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Professor Elizabeth Chang

PhD, MSc, BSC, IEEE Fellow, MACM, MACS

  • Professor, Cyber Security
  • School of Science, Technology & Engineering
Email
Office location
MB-MBA1-1-1.101
Campus
Moreton Bay

Professor Elizabeth Chang is a Professor in ICT and Cyber Security in the School of Science Technology and Engineering reporting directly to the Dean. She has been a full Professor for more than 22 years since 2003 and across Computer Science, Information Systems, Defence Logistics, and Cyber Security. She has over 34 years of combined academic and industry experience including having served as CIO/CTO or Head of IT in the industry and commerce in Hong Kong and Australia in the late 1990s and early 2000s.

Professor Chang holds a PhD (1997) and MSc (1992) in Computer Science and Software Engineering, and a BSc in Computer Science and Mathematics. She is an IEEE Fellow (USA) and has served as Co-Editor-in-Chief of IEEE Transactions on Industrial Cyber-Physical Systems over the past three years. She has also served as an ADCOM member of the IEEE Industrial Electronics Society, and as an Associate Editor for IEEE Transactions on Industrial Informatics and IEEE Transactions on Industrial Electronics for over 15 years. In addition, she has chaired more than 20 IEEE international conferences.

She has supervised the completion of 35 Post-docs, 57 PhD Theses, over 30 Master’s and more than 30 Honours theses across Data Science, Applied AI, Trust, Security, Privacy, and Risk. She was awarded the 2020 UNSW Supervisor of the Year. She has secured 13 Australian Research Council (ARC) grants and, in total, has received more than 30 competitive research grants worth over AUD $20 million, including Defence Research Contracts and Centre of Excellence (CoE) funding.

She has co-authored 8 books and over 600 international journal and refereed conference papers. She has an H-index of 63, an i10-index of 396, and 22,000+ citations (Google Scholar). In the 2012 MIS Quarterly (Vol. 36, Issue 4) Special Issue on Business Research, she was ranked fifth in the world for her researcher in Business Intelligence.

Before coming to Queensland, she was a Professor in Defence Logistics and IT at UNSW at ADFA in Canberra, led the Logistics Innovation and Information Dominance Research Group (www.liidr.org) 2013-2022. She was awarded 10 Defence Research Projects for over $4 million, plus several ARC Linkage projects, CRC Cyber Security funded Projects, CSIRO/OZ Industry funded projects, ACT Department of Transport Project. She was ranked #1 Professorial Researcher at UNSW@ADFA for 8 years in a row at UNSW Boris portal. She was also ranked #1 in the teaching quality survey from UNSW@ADFA graduates for her courses on Big Data in 2019 and 2020. 

Professor Chang was a Professor of IT  (2003-2012) and a visiting Professor (2003-2012) for 10 years at the UC Berkeley Soft Computing Lab, and she was the #1 researcher (KPI) for 8 years at Curtin University. She was the Foundation Director for the University Centre of Excellence (CoE) on Extended Enterprises and the Foundation Director for the University Tier One (Top ranked) Institute of Excellence on Digital Ecosystems and Business Intelligence with a focus on Cyber Information Engineering and Human Space Computing. 

Before this, she was in the industry for 8 years, including serving as CEO/CTO at a multi-national logistics company with HQ in Hong Kong, developing e-commerce systems and as Head of IT and Frontend Lead at Philips Public Communications on Cable TV and cable modern networks and Australian Airlines on Exchange Rates and Interest Rates Monitors.

She has an outstanding track record of collaboration with public and private sector professionals, as well as academics across multiple disciplines, and has sustained trusted relationships well beyond project completion. She has successfully collaborated with the Australian Department of Defence for eight years; Fleetwood Corporation (CRC-P partner) for over ten years; 7R Logistics for four years; BLU Logistics (QLD, ARC Linkage partner) and Smarta Industrial for over ten years; and with numerous government agencies, including the WA Department of Planning and Infrastructure, Main Roads WA, the Department of Transport, the WA Department of Education, Specialised Container Transport, JR Bulk Liquid Transport, and ACT Transport. She has a special skill in practical applied research and the ability to translate real-world issues into science and engineering research with workable solutions, and this is the key factor for her building trusting relationships with Industry and Government and bringing in sustained funding to support academic research in the university environment. 

Professor Chang is a quiet achiever with a strong work ethic. She specialises in strategically motivated fundamental and applied research, and brings a unique blend of experience across academia, industry, and the public sector. She has a proven track record of delivering high-impact research, innovative curricula, and sustained industry engagement across the institutions she has served.

Professional Memberships

  • IEEE Fellow

  • IEEE Industrial Electronic Society ADCOM member (2006-2017)

  • IEEE IES Women in Engineering (2006-2013)

  • Member of ACM and ACS for 20 years

  • Member of Council of Supply Chain Management Professionals

  • Member of Australian Institute of Company Directors since 2021

  • Member with SCLAA /LAA (Logistics Association of Australia) for over 25 years

  • Member of RWTA since 2023

Awards and Fellowships

  • Named one of Australia's top 100 Computer Scientists in the last 10 years (Research.com)

  • International 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)

  • International 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)

  • #1 in Defence Innovation Competition,  4 Dec 2019 at Navy Base, Garden Island, Sydney of $300,000 Awarded
  •  Supervisor of the Year,  2020 (UNSW)

Professional Social Media

Identifiers

Research Grants

Project name Investigator/s Funding body Year(s) of operation

RUIC252619 AI-Driven Predictive Network Health Monitoring with False Positive Reduction, A. Koay, Dr. D. Humphreys, P. Yeoh, Prof Chang

A. Koay, Dr. D. Humphreys, P. Yeoh, Prof Chang

QLD Government, CSIRO, Firstwave Cloud Technology Limited, QLD,  AUD$96,000

Jan 2026- JAN2027

ARCLP240100224 Conjoint Network and Host Intrusion Detection

E. Chang, TS. Dillon, A. Liew, V. Pordar, Z. Zadidi

ARC, Blue Bricks, Veritas Digital

AUD$817, 209, including ARC AUD$577,209 and Industry cash AUD$240,000

2025-2028

ICF004723 Deep Learning and Edge Computing for Compliance and Traceability in Agriculture Supply Chain and Logistics Operations

E. Chang, S. Islam

Department of Industry, Science and Resources, Aus Industry, SB Personnel, AUD$102,616

2021-2022

CRCSC P24-00044, RG202808), Machine Learning for Enterprise Data Security and CRCSC P21-00112, RG204331) Block Chain for Enterprise Trust

E. Chang; M. Whitty; M. Zipperle; M. Becherer

CRC-Cyber Security Centre, WA, AUD$360,0000

 

2020-202

INT0910TCCS, Chang and Saberi,Intelligent Dashboard for Data Quality and Data Integration for ACT Transport

E. Chang, Z. Saberi and K. Kaneva

 

Transport Canberra, ACT, AUD$60,000

2020-2021

Defence Research Contract, ASDEFCON, Phase III, SP020, Defence Logistics and Risk Management – Phase VI – in procurement

E. Chang

 

Department of Defence $500,000

2021-2022

Defence Research Contract, CASG n E&IG,

AI Powered Commercial Vehicle Management. E. Chang

E. Chang

 

Department of Defence $330,000

 

2020-2021

Defence Research Contract, ASDEFCON, Phase III, SP020, Logistics and Risk Management – Phase III

E. Chang

 

Department of Defence $500,000

 

2020-2021

Defence Innovation Award, Asset Assurance

E. Chang

 

Department of Defence $300,000

2020

Defence Research Contract, ASDEFCON, Phase II, SP020, Logistics and Risk Management – Phase II

E. Chang

 

Department of Defence $550,000

2019-2020

Defence Research Contract, ASDEFCON, Phase I, SP020, Logistics and Risk Management – Phase I

E. Chang

Department of Defence $330,000

2018-2019

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

E. Chang, O. Hussain, F. Hussain, N. Janjua, C. Woodward,

T. Jensen

BLU Logistics PL, QLD

(Total $330,000k inc $270,198 from ARC, and $90,000 from industry)

2016-2022

Defence Research Contract# MO/RD/00418/2015

Faceplate- Logistics Intelligence-II

E. Chang

 Department of Defence $750,000

2016-2017

ARC LP150101058, Intelligent CRM through Conjoint Data Mining of Heterogeneous Information Resources

E. Chang, TS Dillon, O. Hussain, D. Drior, W. Rahuyu, R. Soley

FastTrack $369,000 Object Management Group (OMG)

2015-2018

Defence Research Contract# MO/RD/00418/2015

Faceplate- Logistics Intelligence-I

E. Chang, O.Hussain

 

Department of Defence $500,000

2015-2016

ARC46909 “Intelligent cloud-based application to Milk Logistics” Department of Industry and Science

E. Chang, F. Hussain

JR Bulk Logistics, QLD $105,930

2015-2016

Army Research Funding Scheme - Ships as Warehouses in MILIS (SWIM) etc.

E. Chang, D. Drior, F. Hussain

Army Research Scheme $54,000

2014-2015

SRG 2015 Research Infrastructure funds - Logistics Insight lab

E. Chang

UNSW and Department of Defence $150,000

2016-2017

Defence Research Contract MO/RD/00418/1517001 4500967922, Faceplate-Phase I - The Defence Logistics Intelligence (PPD-RFT033616).

E. Chang

Department of Defence $500,000

2015-2016

 

Research Projects

Professor Chang’s research and project are structured around two key dimensions: (1) Big Data Analytics and (2) Industrial Applications.

Her big data research focuses on 
•    Security, Trust, Privacy and Risk Management 
•    Quantum Machine Learning 
•    Agentic Multi-agent Systems
•    Blockchain and Data-lake
•    Digital twin Ecosystems 
including their management, assessment, measurement and control. 

Her industrial research targets complex, domain-driven challenges in 
•    cyber intelligence, 
•    defence logistics, 
•    resilient supply chains, 
•    sustainable transport 
•    green energy
•    health informatics.

Professor Chang is an experienced and highly productive PhD supervisor, with 57 successful completions. If you are interested in pursuing a PhD in above areas, please feel free to contact her at echang@usc.edu.au.

Professor Chang has taught many courses in Computer Science, IT, Business and Engineering Schools, recent teaching includes Cyber Security project management, Big Data Analytics, Steganography, Capstone Unit, final year Software Engineering, System Analysis and Design, HCI, Databases, Blockchain, Logistics Informatics, Asset Management and Business Intelligence.

Professor Chang has taught across five different universities in Australia, spanning the Australian Technology Network (ATN) Universities and Group of Eight institutions, prior to joining the University of the Sunshine Coast (UniSC). She has led major new curriculum and course development and or revamp the courses/programs at each institution. She has also been a key driver in achieving professional accreditation across four schools, including accreditation with the Australian Computer Society (ACS), Engineers Australia, and EQUIS.

Her teaching evaluations have consistently ranked in the top 2% within the faculty, and she has maintained an exceptional student retention rate of 90–98% across cohorts ranging from 50 to 350 students, from second year undergraduate to Master’s level. This success is underpinned by her research-led and industry-informed pedagogical approach.

 

Professor Elizabeth Chang's specialist areas of knowledge include Security, Trust, Privacy and Risk Management; Quantum Machine Learning; Agentic Multi-agent Systems; Blockchain and Data-lake; Digital twin Ecosystems

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