I am a lecturer in the College of Science and Engineering at James Cook University, Cairns campus. Before joining JCU, I was a part of the Wireless Networking Group (WinG) at the University of Sydney, where I completed my PhD in Wireless Communications in October 2020. During my PhD, I published in well-reputed and high impact factor journals and conferences, including Internet of Things Journal (IF: 9.9), IEEE Vehicular Technology Magazine (IF: 5.5), IEEE Transactions on Vehicular Technology (IEEE TVT) and IEEE Globecomm, which is a flagship conference of IEEE Communication Society.

I am an Early Career Researcher and currently a part of a $200,000 industry project funded by the Australian Government under the innovations Connections Program. My main research areas include cellular networks focusing on D2D communication and caching, Fog-IoT networks, and applications of ML/AI for Reconfigurable Intelligent Surfaces (RIS) in channel estimation.

  • CP1401: Problem Solving and Programming I (Level 1; CNS)
  • CP1404: Programming II (Level 1; CNS)
  • CP5607: Advanced Human Computer Interaction (Level 5; CNS & TSV)
Research Disciplines
Socio-Economic Objectives

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Current Funding

Current and recent Research Funding to JCU is shown by funding source and project.

Department of Industry - Innovations Connections

Develop an autonomous AI vehicle damage assessment tool (Phase II)

Indicative Funding
$49,894 over 1 year, in partnership with Hello Claims Pty Ltd ($49,895)
Improvement upon the project 1 developed method for automated detection, identification and categorisation of vehicle panel damage by developing a user interface and video vision. Semantic segmentation and deep learning networks will be further refined and developed for the next evolution/iteration of the software platform.
Ickjai Lee, Komal Khan, Kurt Schoenhoff and Thomas Napier (College of Science & Engineering)
Image classification; Deep learning; Data recognition; Semantic segmentation

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