Dr. Joanne Lee received her PhD degree in Computer Science in 2007 from Griffith University, Australia. She started her academic career as a lecturer in School of Business and IT at Charles Sturt University, Australia (2007-2008) and continued her academic pursuit after moving to James Cook University.

Joanne is an active researcher, and her research interests include machine learning, algorithm optimisation, neural networks, data mining, and applied artificial intelligence. She has been involved in various projects developing a real-world scheduling optimisation system for fly-in-fly-out mining employee scheduling, designing and implementing a non-destructive neural network based classification system for ultrasonic signals, and developing spatio-temporal mining algorithms for moving objects.

Joanne’s teaching experience covers from introductory machine learning, database, data mining, 3D modelling, and programming. Currently, she is supervising 5 PhD students, and 3 of them are near completion.

  • CP1401: Fundamentals of Problem Solving and Programming 1 (Level 1; CNS)
  • CP1404: Programming II (Level 1; CNS)
  • CP1801: Fundamentals of Problem Solving and Programming I (Level 1; CNS & TSV)
  • CP2403: Information Processing and Visualisation (Level 2; CNS & TSV)
  • CP2404: Database Modelling (Level 2; CNS & TSV)
  • CP2405: Collective Intelligence and Entrepreneurship (Level 2; CNS)
  • CP3413: Information Processing and Visualisation (Level 3; CNS & TSV)
  • CP5639: Problem Solving and Programming I (Level 5; TSV)
  • 2007 to 2008 - Lecturer, Charles Stuart University (Albury-Wodonga)
Research Disciplines
Socio-Economic Objectives

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 52+ research outputs authored by Dr Joanne Lee from 2003 onwards.


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.

  • An Autonomous Tool to Produce Prototype Neural Networks for Deep Learning (PhD , Secondary Advisor)
  • Investigating into spatio-temporal based sentiment sequence discovery within documents using trajectory mining technique (PhD , Secondary Advisor)
  • Fast Remote Diagnosis of Bowel Activities (PhD , Secondary Advisor)
  • Mining Human Mobilty Relationship through Spatio- temporal Trajectories (PhD , Secondary Advisor)
  • Establishing an Empirical basis for the Curriculum and Assessment of the Competency based Fellowship of the Royal Australian and New Zealand College of Psychiatrists by Text Mining the Psychiatric Literature (PhD , Secondary Advisor)

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