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Kyungmi Joanne Lee

Projects

2

Publications

0

Awards

0


Biography

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.

Research

Projects

Teaching

Research Advisor Accreditation
Advisor Type

Primary

Research Advisor Accreditation
Role

Chair; Independent Academic


Taught Modules
Current JCU Research Students
Representing user behaviour profile in space for robust, non-invasive, adaptive, high performing, efficient, and continuous user authentication
Doctor of Philosophy (Information Technology)
Autonomous CNN architecture selection and dynamic modification through proven convolutional architectures and transfer learning.
Doctor of Philosophy (Information Technology)
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
Doctor of Philosophy (Medical and Molecular Sciences)
Deep Learning Augmented Anomaly Detection for Flight Data
Doctor of Philosophy (Information Technology)
Advanced Video Rate Control for versatile video coding
Doctor of Philosophy (Engineering and Related Technologies)
Efficient Semantic Segmentation using Deep Learning.
Doctorate by Research - time-based
Contact mining from spatio-temporal trajectories
Doctor of Philosophy (Information Technology)
Unravelling the misuse of large language models for phishing attacks
Master of Philosophy (Information Technology)
Completed JCU Research Students
Health Social Network of Things: Towards Integrated Autonomous Online Community Healthcare
Doctor of Philosophy (Information Technology)- 2024
Predictive Spatio-Temporal modelling with neural networks
Doctor of Philosophy (Information Technology)- 2020
Periodic Pattern Mining from Spatio-temporal Trajectory Data
Doctorate by Research - time-based- 2018
From Spatio-Temporal Trajectories To Succinct And Semantically Meaningful Patterns
Doctorate by Research - time-based- 2018
Document-level sentiment analysis of email data
Doctor of Philosophy (Information Technology)- 2020

Activities

Employment