Elizabeth Chang

Elizabeth Chang, Professor in IT, Computer Science and Software Engineering Elizabeth Chang is an electrical engineer at Curtin University in Perth, Western Australia. Chang was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2015 for her contributions to industrial informatics and cyber physical systems.

Chang holds a PhD in Computer Science and Software Engineering from La Trobe University.

Chang concentrates her research in biomedical engineering, and she has also gone to law school. During her time at law school, she was an extern for U.S. District Court James V. Selna, who is an American judge. At Curtin University, she also had Institute of Excellence for Digital Ecosystems and Business Intelligence Institute.

Chang has also co-authored two books, and has published more than 300 scientific papers as book chapters in journals. Her previous academic achievements also include 20 Competitive Research Grants. Provided by Wikipedia
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  1. 1
    The impact of ozone, water stress, and acid rain on the growth and physiology of fraser fir seedlings
    by Tseng, Elizabeth Chang-Hsu
    Published 2017
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  2. 2
    Prosumer Communities and Relationships in Smart Grids: A Literature Review, Evolution and Future Directions
    by Eunice Espe, Vidyasagar Potdar, Elizabeth Chang
    Published 2018-09-01
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  3. 3
    Are MCDM methods useful? A critical review of Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP)
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  4. 4
    Quality Management of Workers in an In-House Crowdsourcing-Based Framework for Deduplication of Organizations’ Databases
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  5. 5
    An Artificial Intelligence Empowered Cyber Physical Ecosystem for Energy Efficiency and Occupation Health and Safety
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  6. 6
    Modelling workforce employability pipelines for organisational resilience
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  7. 7
    An Early Detection System for Proactive Management of Raw Milk Quality: An Australian Case Study
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  8. 8
    Highlighting the Importance of Considering the Impacts of Both External and Internal Risk Factors on Operational Parameters to Improve Supply Chain Risk Management
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  9. 9
    Comparison of male and female patients with amnestic mild cognitive impairment: Hippocampal hyperactivity and pattern separation memory performance
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  10. 10
    Risk to Develop Type 2 Diabetes Mellitus according to FINDRISC tool in Guatemalan Physicians aged 40-60 years
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  11. 11
    HSP90-incorporating chaperome networks as biosensor for disease-related pathways in patient-specific midbrain dopamine neurons
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