Dr Insu Song ~ Senior Lecturer IT

Dr Song received his PhD in Computer Science from The University of Queensland. He has more than 10 years of industry experience in the field of embedded system design, industrial control system design, signal processing, patent analysis, and multimedia/game software development. Dr Song was awarded a prestigious international grant from Bill and Melinda Gates foundation to work on mobile applications for providing “Early Child Health Intervention Using Breathing Sound.”

Teaching

• CP5030: Special Topics 1 (Level 5; SIN)
• CP5046: ICT Project 1: Analysis and Design (Level 5; SIN)
• CP5080: Literature Review and Research Proposal (Level 5; SIN)

Research Disciplines

• Machine learning (4611)
• Specialist studies in education (3904)
• Applied computing (4601)

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

• Bhati A and Song I (2019) New methods for collaborative experiential learning to provide personalised formative assessment. International Journal of Emerging Technologies in Learning, 14 (7). pp. 179-195

Conference Papers

• Huang Y and Song I (2022) Cardio Vec: Searching Heart Health Information Using ECG Signals. Proceedings of the 7th International Conference on Computational Intelligence and Applications. In: ICCIA 2022: IEEE 7th International Conference on Computational Intelligence and Applications, 24-26 June 2022, Nanjing, China
• Huang Y and Song I (2022) PhysioVec: IoT Biosignal Based Search Engine for Gastrointestinal Health. Proceedings of the 7th International Conference on Computational Intelligence and Applications. In: ICCIA 2022: IEEE 7th International Conference on Computational Intelligence and Applications, 24-26 June 2022, Nanjing, China
• Huang Y and Song I (2022) PhysioVec: A Multi-stage Deep-Learning Framework for Searching Online Health Information with Breath Sound. Proceedings of the 5th International Conference on Big Data and Artificial Intelligence. In: BDAI 2022: IEEE 5th International Conference on Big Data and Artificial Intelligence, 8-10 July 2022, Fuzhou, China
• Vadivel V, Song I and Bhati A (2022) Culture-Centered ICT Guidelines for Southeast Asian Secondary Schools. Lecture Notes in Computer Science. In: HCII 2022: Late Breaking Papers, Interaction in New Media, Learning and Games, 26 June - 1 July 2022, Virual Event
• Song I, Huang Y, Koh T and Rajadurai V (2021) Pervasive Monitoring of Gastrointestinal Health of Newborn Babies. Lecture Notes in Computer Science LNAI. In: PRICAI 2021: 18th Pacific Rim International Conference on Artificial Intelligence, 8-12 November 2021, Hanoi, Vietnam
• Subash A and Song I (2021) Real-Time Behavioral Biometric Information Security System for Assessment Fraud Detection. Proceedings of the IEEE International Conference on Computing. In: ICOCO 2021: IEEE International Conference on Computing, 17-19 November 2021, Kuala Lumpur, Malaysia
• Vadivel V, Song I and Bhati A (2021) Culturally Themed Educational Tools for Enhancing Learning in Southeast Asian Secondary Schools. Advances in Intelligent Systems and Computing. In: FTC 2020: Future Technologies Conference, 5-6 November 2020, San Francisco, CA, USA
• Vadivel V, Song I and Bhati A (2021) Cultural Emotion Games as Trajectory Learning in Southeast Asia. Lecture Notes in Computer Science. In: ICEC 2021: 20th IFIP TC 14 International Conference, 2-5 November 2021, Coimbra, Portugal
• Huang Y and Song I (2018) Non-invasive methods of measuring carotenoids. Proceedings of the 3rd International Conference on Biomedical Signal and Image Processing. In: ICBIP 2018: 3rd International Conference on Biomedical Signal and Image Processing, 22-24 August 2018, Seoul, Korea
• Huang Y and Song I (2018) A better online method of heart diagnosis. Proceedings of the 3rd International Conference on Biomedical Signal and Image Processing. In: ICBIP 2018: 3rd International Conference on Biomedical Signal and Image Processing, 22-24 August 2018, Seoul, Korea
• Huang Y, Song I, Rana P and Koh G (2017) Fast diagnosis of bowel activities. Proceedings of the International Joint Conference on Neural Networks. In: IJCNN 2017: International Joint Conference on Neural Networks, 14-19 May 2017, Anchorage, AK, USA

More

ResearchOnline@JCU stores 68+ research outputs authored by Dr Insu Song 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.

Current

• Fast Remote Diagnosis of Bowel Activities (PhD , Primary Advisor)
• HCI mobile eduation: Integrating learning, fun and turning addiction into performance (PhD , Primary Advisor)
• Representing user behaviour profile in space for robust, non-invasive, adaptive, high performing, efficient, and continuous user authentication (PhD , Primary Advisor)

Completed

• Culture-Centred Integration of ICT in Southeast Asia Secondary Schools (2023, PhD , Primary Advisor)