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Patrick Pang 彭祥佑

PhD (Melb), MSc (UM), BSc (UM)

Educator and Researcher
The University of Melbourne | Deakin University

Contact Information

Dr Patrick Pang is an experienced educator and researcher and is currently teaching at the University of Melbourne and Deakin University in Australia. He received his PhD from the University of Melbourne and has many years of industry working experience in the public IT sector. He specialises in inter-disciplinary research studying how data can facilitate smart governance and improve people's wellbeing.

Some of his recent research investigates the governance of the Australian national electronic health records, the information-driven decision making of patients, and the IT adoption in social care. He is also interested in applying AI and big data analytics as a new research methodology in socio-technical settings. His work is recognised internationally in prestigious journals such as Journal of Medical Internet Research (the most-cited digital health journal), Internet Research (SCI/SSCI Q1), Information Processing and Management (SCI/SSCI Q1) and Future Generation Computer Systems (SCI Q1).


Recent News and Activities
28 Oct 2020
Paper accepted for the 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '20).
16 Oct 2020
Our journal paper has been accepted for publishing in Internet Research (SCI/SSCI Q1).
16 Aug 2020
Our journal paper has been accepted for publishing in Information Processing and Management (SSCI Q1).

Latest Publications
  1. Multi-source Transfer Learning with Ensemble for Financial Time Series Forecasting
    QQ He, PCI Pang and YW Si
    Proceedings of the 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '20), 2020, IEEE
    • (Accepted)
  2. L Sun, PCI Pang and YW Si
    Internet Research, 2020, Emerald, doi:10.1108/INTR-11-2019-0490
    • SSCI Q1 IF 4.708, ADBC A
    • PDF
  3. PCI Pang, D McKay, S Chang, Q Chen, X Zhang and L Cui
    Information Processing and Management, 2020, 57(6), 102364, doi:10.1016/j.ipm.2020.102364
    • SSCI Q1 IF 4.787
    • PDF

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