About

 

 

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.

Teaching
  • CP1404: Programming II (Level 1; CNS)
  • CP2403: Information Processing and Visualisation (Level 2; CNS & TSV)
  • CP2404: Database Modelling (Level 2; CNS & TSV)
  • CP2405: Collective Intelligence and Entrepreneurship (Level 2; CNS)
  • CP3300: Knowledge Discovery and Data Mining (Level 3; CNS & TSV)
  • CP3403: Data Mining (Level 3; TSV)
  • CP5634: Data Mining (Level 5; TSV)
Experience
  • 2007 to 2008 - Lecturer, Charles Stuart University (Albury-Wodonga)
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
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ResearchOnline@JCU stores 43+ research outputs authored by Dr Joanne Lee from 2003 onwards.

Supervision

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.

Current
  • Periodic Pattern Mining for Spatio-Temporal Trajectories. (PhD , Secondary Advisor)
  • An Investigation Into Data Mining Large And Noisy Spatio-Temporal rajectories To Produce Succinct And Semantically Meaningful Patterns (PhD , Secondary Advisor)
  • Mining Human Mobilty Relationship through Spatio- temporal Trajectories (PhD , Secondary Advisor)
Completed

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