I obtained my PhD in 2002 from the School of Electrical Engineering and ComputerScience, University of Newcastle, in Australia. After a year as a postdoctoral research fellow at the Business and Technology Laboratory in the University of Newcastle, Australia, I joined the School of IT at James Cook University, Australia. I have been actively involved in working on broad areas of geoinformatics and intelligence informatics. My research interests include geospatial data mining, multiple classifiers, geospatial databases, conceptual spaces, Web 2.0, map segmentation, clustering, geo-visualisation, internet of things, and Voronoi tessellations. Currently, I am working for intelligence and health informatics for the Tropics.

  • CP3000: Research Topics in Technology (Level 3; CNS)
  • CP3401: e-Strategic Management (Level 3; CNS & TSV)
  • CP3403: Data Mining (Level 3; CNS & TSV)
  • CP5045: Information Technology Project (Level 5; CNS)
  • CP5080: Literature Review and Research Proposal (Level 5; TSV)
  • CP5634: Data Mining (Level 5; TSV)
  • CP5636: e-Strategic Management (Level 5; TSV)
  • Market analysis through online map segmentation
  • Geospatial data mining through clustering, association rules mining, and sequential mining
  • Trajectory mining for travel patterns and animal movements
  • Geocomputation, geo-engineering, geomatics and spatial data handling
  • Mobile augmented reality for learning and teaching
  • Voronoi tessellation and Delaunay triangulation applications
  • Applied artificial intelligence and machine learning algorithms
  • Data structure, computational geometry, data handling and management
  • 2010 to 2013 - Associate Professor, James Cook University (Cairns)
  • 2006 to 2009 - Senior Lecturer, James Cook University (Towsville)
  • 2003 to 2005 - Lecturer, James Cook University (Townsville)
  • 2002 to 2003 - Post-doctoral research fellow, The University of Newcastle (Newcastle)
Research Disciplines
Socio-Economic Objectives
  • 2012 - Best paper award in the 46th Hawaii International Conference on System Science
  • 2009 - Faculty Citation for Outstanding Contributions to Student Learning
  • 2007 - Best paper award in the Pacific Asia Workshop on Intelligence and Security Informatics
  • 2006 - Faculty Citation for Outstanding Contributions to Student Learning
  • 2004 - ACM (lifetime)

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

ResearchOnline@JCU stores 124+ research outputs authored by Prof Ickjai Lee from 2000 onwards.

Current Funding

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

Department of Industry, Innovation and Science - Innovation Connections - Entrepreneurs' Programme

Develop an autonomous AI vehicle damage assessment tool

Indicative Funding
$50,000 over 2 years, in partnership with Hello Claims Pty Ltd ($50,211 over 2 yrs)
Development of a practical means and method for automated detection, identification and categorisation of vehicle panel damage using AI, deep learning and selected semantic segmentation networks. Semi-Supervised methods will be investigated to minimize the requirements on hand made training data (archived damaged vehicle images) and research will be conducted to determine the possibility to build a minimum viable product (MVP) directly onto the existing platform architecture.
Ickjai Lee and Aidan Possemiers in collaboration with Kurt Schoenhoff (College of Science & Engineering)
Data recognition; Image Classification; Semantic segmentation; Deep Learning

Tree-Kangaroo and Mammal Group Inc - Contract Research

Kimberley - Wet Tropics Wildlife on Virtual Reality

Indicative Funding
This project will further develop 'Kimberley' the 3D virtual reality tree-kangaroo to the stage where the 'experience' can go live to the public at the Malanda Falls Visitor Centre. This project further extends 3D tree-Kangaroo with Virtual Reality and artificial intelligence.
Ickjai Lee, Aidan Possemiers and Peter Valentine in collaboration with David Hudson (College of Science & Engineering and Tree-Kangaroo and Mammal Group Inc)
Tree Kangaroo; Virtual Reality; Conservation; Simulation; Environment; Technology

Advisory Accreditation: I can be on your Advisory Panel as a Primary or Secondary Advisor.

These Higher Degree Research projects are either current or by students who have completed their studies within the past 5 years at JCU. Linked titles show theses available within ResearchOnline@JCU.

  • User-intention based intrusion detection system for smart home (PhD , Secondary Advisor/AM)
  • Adaptive Technology Integration for Southeast Asia Secondary Schools (PhD , Advisor Mentor)
  • Investigation of Unconditionally Secure Multi-Party Protocols (PhD , Advisor Mentor)
  • An Autonomous Tool to Produce Prototype Neural Networks for Deep Learning (PhD , Primary Advisor/AM/Adv)
  • Implementing affective aspects to improve realistic crowd simulations (PhD , Primary Advisor/AM/Adv)
  • Investigating into spatio-temporal based sentiment sequence discovery within documents using trajectory mining technique (PhD , Primary Advisor/AM/Adv)
  • Mining Human Mobilty Relationship through Spatio- temporal Trajectories (PhD , Primary Advisor/AM/Adv)
  • Fast Remote Diagnosis of Bowel Activities (PhD , Secondary Advisor/AM)
  • HCI mobile eduation: Integrating learning, fun and turning addiction into performance (PhD , Secondary Advisor/AM)
  • Machine Learning Algorithms for Time-Series and their Application to Restoration, Prediction and Quality Control of Oceanographic Data (PhD , Secondary Advisor)
  • Automatic Generation of Geometry for Simulation and Games (PhD , Primary Advisor/AM/Adv)

These are the most recent metadata records associated with this researcher. To see a detailed description of all dataset records, visit the JCU Research Data Catalogue.

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