About

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.

Teaching
  • 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
Publications

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles
Conference Papers
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)
Summary
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.
Investigators
Ickjai Lee, Komal Khan, Kurt Schoenhoff and Thomas Napier (College of Science & Engineering)
Keywords
Image classification; Deep learning; Data recognition; Semantic segmentation

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Email
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Location
  • A1.230D, Chancellery Building (Cairns campus)
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