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

• CP2403: Information Processing and Visualisation (Level 2; CNS & TSV)
• CP2404: Database Modelling (Level 2; CNS)
• CP3413: Information Processing and Visualisation (Level 3; CNS & TSV)
• CP5046: ICT Project 1: Analysis and Design (Level 5; CNS)
• CP5633: Database Modelling (Level 5; CNS & TSV)
• CP5641: Design Thinking Principles (Level 5; CNS)

Experience

• 2007 to 2008 - Lecturer, Charles Stuart University (Albury-Wodonga)

Research Disciplines

• Data management and data science (4605)
• Health services and systems (4203)
• Cybersecurity and privacy (4604)

Socio-Economic Objectives

• Information systems, technologies and services (2204)

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

• Amos A, Lee K, Sen Gupta T and Malau-Aduli B (in press) Identifying emerging topics in the peer?reviewed literature to facilitate curriculum renewal and development. Current Psychology,
• Amos A, Lee K, Sen Gupta T and Malau-Aduli B (2021) Systematic review of specialist selection methods with implications for diversity in the medical workforce. BMC Medical Education, 21.
• Liu S, Lee K and Lee I (2020) Document-level multi-topic sentiment classification of email data with BiLSTM and data augmentation. Knowledge Based Systems, 197.
• Wang Y, Lee K and Lee I (2020) Visual analytical tools for multivariate higher order information for emergency management. Journal of Visualization, 23. pp. 721-743
• Zhang D, Lee K and Lee I (2019) Semantic periodic pattern mining from spatio-temporal trajectories. Information Sciences, 502. pp. 164-189
• Zhang D, Lee K and Lee I (2019) Multi-level medical periodic patterns from human movement behaviors. Health Information Science and Systems, 7 (1).
• Zhang D, Lee K and Lee I (2019) Mining hierarchical semantic periodic patterns from GPS-collected spatio-temporal trajectories. Expert Systems with Applications, 122. pp. 85-101
• Cai G, Lee K and Lee I (2018) Mining semantic trajectory patterns from geo-tagged data. Journal of computer science and technology, 33 (4). pp. 849-862
• Cai G, Lee K and Lee I (2018) Mining mobility patterns from geotagged photos through semantic trajectory clustering. Cybernetics and Systems, 49 (4). pp. 234-256
• Cai G, Lee K and Lee I (2018) Itinerary recommender system with semantic trajectory pattern mining from geo-tagged photos. Expert Systems with Applications, 94. pp. 32-40
• Wang Y, Lee K and Lee I (2018) DNA-chart visual tool for topological higher order information from spatio-temporal trajectory dataset. Expert Systems with Applications, 108. pp. 28-35

Conference Papers

• Zhang B, Li J, Chen C, Lee K and Lee I (in press) A Practical Botnet Traffic Detection System using GNN. Lecture Notes in Computer Science. In: CSS 2021: Cyberspace Safety and Security, 9-11 November 2021, Virtual

More

ResearchOnline@JCU stores 57+ research outputs authored by Dr Joanne Lee from 2003 onwards.

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

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

• Autonomous CNN architecture selection and dynamic modification through proven convolutional architectures and transfer learning. (PhD , Secondary Advisor)
• Efficient Semantic Segmentation using Deep Learning. (PhD , Secondary Advisor)
• Fast Remote Diagnosis of Bowel Activities (PhD , Secondary Advisor)
• Contact mining from 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)
• Representing user behaviour profile in space for robust, non-invasive, adaptive, high performing, efficient, and continuous user authentication (PhD , Secondary Advisor)
• Deep Learning Augmented Anomaly Detection for Flight Data (PhD , Primary Advisor)
• Defending Deep Neural Network Systems from Malicious Data Poisoning Attacks (PhD , Secondary Advisor)

Completed

• Document-level sentiment analysis of email data (2020, PhD , Secondary Advisor)
• Periodic pattern mining from spatio-temporal trajectory data (2018, PhD , Secondary Advisor)
• Predictive spatio-temporal modelling with neural networks (2020, PhD , Secondary Advisor)
• From spatio-temporal trajectories to succinct and semantically meaningful patterns (2018, PhD , Secondary Advisor)