Insu Song

Dr. Insu Song is a Senior Lecturer in the Department of Information Technology at James Cook University (Singapore campus). He holds a PhD in Computer Science from The University of Queensland and has over 30 years of industry experience in AI, machine learning, and embedded systems. His research focuses on AI applications in medical diagnosis, educational technology, and biometric security.

Education: PhD in Computer Science (University of Queensland), BInfoTech (1st Class Honors), BSc in Physics.

Research Interests: Development of AI models for medical diagnostics (mental health, respiratory, and gastrointestinal health), AI-driven educational games, behavioral biometrics for fraud detection, and sustainable farming through AI. He pioneered over 1,500 learning contents and 1 million AI-generated educational games.

Grants & Awards: Recipient of a prestigious grant from the Bill & Melinda Gates Foundation (2011) for 'Early Child Health Intervention Using Breathing Sound.' Notable awards include Best Research of the year (2014), Best Academic of the year (2015), and finalist in The Australian Innovation Challenge (2013).

Collaborations: Works with NGOs like Yamakindo and PUPA Center, the Indonesian government’s aquaculture office, and Chimera Flux for medical robotics. Serves on the PRICAI committee since 2017.

Key Projects: Includes 'Early Child Health Intervention Using Breathing Sound' (2011–2012), 'Efficient Charging Method for Bicycle Generators' (2018–2020), and AI models for fish farming cost reduction.