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.

Teaching

• CP2408: Design Thinking and Creative IT Industries (Level 2; CNS & TSV)
• CP3000: Research Topics in Technology (Level 3; CNS)
• CP3403: Data Mining (Level 3; CNS & TSV)
• CP5030: Special Topics 1 (Level 5; CNS)
• CP5045: Information Technology Project (Level 5; CNS)
• CP5080: Literature Review and Research Proposal (Level 5; TSV)
• CP5634: Data Mining (Level 5; CNS & TSV)

Interests

Research

• 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

Teaching

• Data structure, computational geometry, data handling and management

Experience

• 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

• Data management and data science (4605)
• Machine learning (4611)

Awards

• 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

Memberships

• 2004 - ACM (lifetime)
• 2004 - ACM-SIGSPATIAL

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

• Hussain E, Hasan M, Rahman M, Lee I, Tamanna T and Parvez M (2021) CoroDet: a deep learning based classification for COVID-19 detection using chest X-ray images. Chaos Solitons and Fractals, 142, Article: 110495, DOI:10.1016/j.chaos.2020.110495.
• Bermingham L and Lee I (2020) Mining distinct and contiguous sequential patterns from large vehicle trajectories. Knowledge Based Systems, 189, Article: 105076, DOI:10.1016/j.knosys.2019.105076.
• Liu H and Lee I (2020) Towards realistic meteorological predictive learning using conditional GAN. IEEE Access, 8, pp. 93179-93186, DOI:10.1109/ACCESS.2020.2995187.
• 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, Article: 105918, DOI:10.1016/j.knosys.2020.105918.
• 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, DOI:10.1007%2Fs12650-020-00645-y.
• Bermingham L and Lee I (2019) Mining place-matching patterns from spatio-temporal trajectories using complex real-world places. Expert Systems with Applications, 122, pp. 334-350, DOI:10.1016/j.eswa.2019.01.027.
• Liu S and Lee I (2019) Extracting features with medical sentiment lexicon and position encoding for drug reviews. Health Information Science and Systems, 7 (11), DOI:10.1007/s13755-019-0072-6.
• Zhang D, Lee K and Lee I (2019) Semantic periodic pattern mining from spatio-temporal trajectories. Information Sciences, 502, pp. 164-189, DOI:10.1016/j.ins.2019.06.035.

Conference Papers

• Liu H and Lee I (2020) Bridging the gap between training and inference for spatio-temporal forecasting. Frontiers in Artificial Intelligence and Applications. In: ECAI 2020: 24th European Conference on Artificial Intelligence, 29 August - 8 September 2020, Santiago, Spain
• Madanayake A, Sankupellay M and Lee I (2020) Profiling the natural environment using acoustics: long-term environment monitoring through cluster structure. Proceedings of the 3rd International Conference on Software Engineering and Information Management. In: ICSIM'20: 3rd International Conference on Software Engineering and Information Management, 12-15 January 2020, Sydney, NSW, Australia
• Schoenhoff K, Holdsworth J and Lee I (2020) Efficient semantic segmentation through dense upscaling convolutions. Proceedings of the 3rd International Conference on Software Engineering and Information Management. In: ICSIM'20: 3rd International Conference on Software Engineering and Information Management, 12-15 January 2020, Sydney, NSW, Australia
• Liu H, Wu H, Sun W and Lee I (2019) Spatio-temporal GRU for trajectory classification. Proceedings of the 19th IEEE International Conference on Data Mining. In: ICDM 2019: 19th IEEE International Conference on Data Mining, 8-11 November 2019, Beijng, China

More

ResearchOnline@JCU stores 133+ research outputs authored by Prof Ickjai Lee from 2000 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

• User-intention based intrusion detection system for smart home (PhD , Secondary Advisor/AM)
• Exploring the Effects of Synchronous, Asynchronous and Blended Learning Approaches on Academic Learning Behaviours for Visual, Auditory and Kinaesthetic Learners (PhD , Secondary Advisor/AM)
• Identifying characterstics of long term missing person (LTMP) within Australia (Masters , Secondary Advisor)
• 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)
• An Automated approach to predict Sepsis in Adults from Electronic Medical Record (EMR) Data using Machine Learning and Natural Language Processing (PhD , Primary Advisor/AM/Adv)
• Efficient Semantic Segmentation using Deep Learning. (PhD , Primary Advisor/AM/Adv)
• Automatic Generation of Geometry for Simulation and Games (PhD , Primary Advisor/AM/Adv)
• Contact mining from spatio-temporal trajectories (PhD , Primary Advisor/AM/Adv)
• Machine Learning Algorithms for Time-Series and their Application to Restoration, Prediction and Quality Control of Oceanographic Data (PhD , Secondary Advisor)
• 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)
• Developing novel methods that use AI algorithms for detecting and preventing information and cybersecurity threats (PhD , Secondary Advisor/AM)

Completed

• Mining people's semantic trajectory behaviours from geotagged photographs (2017, PhD , Secondary Advisor)
• From spatio-temporal trajectories to succinct and semantically meaningful patterns (2018, PhD , Primary Advisor)
• Periodic pattern mining from spatio-temporal trajectory data (2018, PhD , Primary Advisor/AM/Adv)
• Predictive Spatio-Temporal modelling with neural networks (2020, PhD , Primary Advisor/AM/Adv)
• Collaborative emergency management report writing: an application for differential synchronisation (2016, PhD , Secondary Advisor)
• Document-level sentiment analysis of email data (2020, PhD , Primary Advisor/AM/Adv)
• SCOOT: an object-oriented text based computer programming teaching tool for novices, with an emphasis on ease-of-use (2017, PhD , Associate Advisor)
• Visual analytics of dynamic higher order information (2017, PhD , Primary Advisor)
• Input-centric profiling and prediction for computational offloading of mobile applications (2017, PhD , Secondary Advisor)
• A data-driven approach towards a realistic and generic crowd simulation framework (2020, 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 Research Data Australia.

• Myers, T. (2014) ICT student's interpersonal soft skills in online teaching environments using traditional active learning techniques. James Cook University

The map shows research collaborations by institution from the past 7 years.
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