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  • Dr James Kang

    Dr James Kang

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  • See Also
  • ORCiD profile
    https://orcid.org/0000-0002-0242-4187
  • ORCiD profile
  • ResearchGate profile
    https://www.researchgate.net/profile/James_Jin_Kang
  • ResearchGate profile
  • LinkedIn profile
    https://www.linkedin.com/in/kangjames/
  • LinkedIn profile
  • Google Scholar profile
    https://scholar.google.com/citations?hl=en&&user=yfU4laAAAAAJ&&view_op=list_works&&sortby=pubdate
  • Google Scholar profile
  • Academica.com profile
    https://edithcowan.academia.edu/JamesKang
  • Academica.com profile

Dr James Kang

James was a lecturer in the School of Science in the Computing and Security discipline and was responsible for developing teaching materials and assessment activities for multiple units at both undergraduate and postgraduate levels.  He is now holding a role of adjunct lecturer helping students for their higher degrees by research in IT and Security.

Background

James (Jin) has worked in research areas including Health Informatics, IoT (Internet of Health Things), Cybersecurity and Disaster Recovery using smart sensors in low power wide area networks. He also taught graduate and undergraduate students in computing and security courses. This included supervising research degree students and supporting our Academic Centre of Cyber Security Excellence (Australian Federal Government). James was also involved in our engagement with a 30-stakeholder $149 million (AUD) Cyber Security Collaborative Research Centre. He has worked in the telecommunications industry for over 20 years, working on projects in Telecom NZ (Spark NZ), Nokia (Alcatel-Lucent), NBN Co, Telstra, Siemens, and Vodafone Australia since 1994. He has gone to Africa as a volunteer to help an NGO as an IT advisor. He specialised in Network Intelligence for wired and mobile networks during the earlier stages of his career. He later worked on career networks such as IP, IMS, NBN and VoIP technologies. He taught master students at National Taiwan University as an associate professor in Taiwan. He is interested in helping offshore students in teaching and research so that they can pursue their objectives with vast experience in his industry experiences.

Research Areas and Interests

  1. Medical Informatics:
    • Leveraging AI in healthcare for enhanced data management and decision support systems.
  2. Sensory networks and IoT sensors:
    • Integrating AI algorithms for smarter data processing and decision-making in sensor networks and IoT applications.
  3. Inference algorithms development:
    • Advancing AI-driven inference algorithms for accurate data analysis and predictive modeling.
  4. Cybersecurity encryption and authentication:
    • Enhancing cybersecurity measures with AI-powered encryption and authentication technologies to safeguard systems and data.
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