JCU Singapore School of Science and Technology
Lijuan Shen
- Senior Lecturer Information Technology
- lijuan.shen@jcu.edu.au
Erik Hormann
- Lecturer Mathematics
- erik.hormann@jcu.edu.au
Ghazalnaz Sharifonnasabi
- Lecturer, JCU Singapore
- ghazalnaz.sharifonnasabi@jcu.edu.au
Insu Song
- Senior Lecturer IT
- insu.song@jcu.edu.au
Neil Hutchinson
- Associate Professor
- neil.hutchinson@jcu.edu.au
Randy Zhu
- IT Lecturer
- randy.zhu@jcu.edu.au
Steve Kerrison
- Senior Lecturer Cybersecurity
- steve.kerrison@jcu.edu.au
Jusak Jusak
- Senior Lecturer loT
- jusak.jusak@jcu.edu.au
Fanny Yasumaru
- Senior Lecturer
- fanny.yasumaru@jcu.edu.au
Segmentation of Panoramic Dental Radiograph Using AI: AU-Net Based Approach
Dental radiographs, particularly panoramic X-rays, are critical for diagnosing and planning treatments for various dental conditions. Traditional manual analysis of these images is labor-intensive and prone to errors. Artificial Intelligence (AI), especially deep learning techniques, has transformed image segmentation tasks. This research investigates the application and comparative performance of four advanced AI-driven deep learning
models—U-Net, TransUNet, V-Net, and UNet++—for segmenting dental structures in panoramic X-rays.
Early Child Health Intervention Using Breathing Sound
Early Child Health Intervention Using Breathing Sound. Insu Song and Joachim Diederich of the James Cook University in Singapore propose a cell phone-based system for collecting and analyzing time location-tagged children's crying and breathing sounds to detect respiratory infections. This system provides treatment information for parents and generates public health data regarding the spread of infectious diseases.
Mobile Banking for Southeast Asia
Banking and finance is one of the pillars of modern economy Often people in rural areas or people living in resource poor areas have limited access due to lack of KPI and income. Providing affordable banking (micro loans) is challenging due to risk. We develop secure mobile phone based banking to replace conventional KPI to provide affordable loans and banking services. The funding was provided by T-BOB PTET LTD Singapore.
Antioxidant Scanner
Antioxidant plays a vital role in preventing oxidation of our cells that damages our DNA causing cancerous cells. To protect ourselves we need to eat healthy food that are rich in antioxidants. However measuring antioxidant levels still invasive and expensive. We develop mobile AI application that analyses changes in skin color to measure antioxidant levels. The work was patented in US. The work was funded by Health Partners PTE LTD.
Efficient charging method for bicycle and exercise generators
Bicycles and exercise machines in gyms have become a popular sources for electricity generation dues awareness of sustainability. However, current charging technology is not suitable due to rapidly changing levels of energy from those sources. We develop a new innovative charging solution that is able to capture 75% or more of the energies generated from bicycles and exercise machines. The work was funded by Health Partners PTE LTD. The work has been filed for patent.
Bowel Sounds Sensor Project in term newborn babies
To evaluate a novel, miniaturised, non-stethoscope based bowel sounds sensor (BoSS) with signals being processed and acquired by Bluetooth onto a Samsung S7 phone. BoSS1 Project aims to evaluate the quality, user friendliness in acquisition and correlation of bowel sounds analysis with health and sickness in term babies.
VetheRBlocks
Create a proof of concept of an immersive learning app that would help students to better understand how data is moved around on networks, including
the Internet.
Sleep Habit/A Mobile App to Reduce Bedtime Procrastination
This research presents the design and functionality of a mobile app aimed at addressing bedtime procrastination among busy professionals. The app leverages self-regulation principles, social accountability, and gamification to promote healthier sleep habits. Core features include personalized goal-setting, bedtime routine tracking, progress monitoring through dashboards, and social sharing to enhance motivation. Users benefit from custom reminders, community support, and rewards for consistent adherence to bedtime goals. A typical user experience includes daily reminders, habit reinforcement through motivational messages, and weekly progress summaries. By fostering structured sleep routines, the app improves sleep quality, energy levels, and overall well-being.
Goal-Focused and Social Monitoring Approaches to Reducing Bedtime Procrastination
This project aims to develop a web application that engages users in setting bedtime goals, making the goals public on social media, monitoring the goals, and tracking sleep behaviours. It also aims to test the efficacy of the web application in reducing bedtime procrastination using an experimental approach. The web application designed for the study can be refined and developed into a mobile application for commercialization. The commercialization of the mobile application could attract academic and industry collaborations and opportunities for external research grants.
Asian shark and ray capacity building workshops
This was an invited proposal from (1) Synchronicity Earth and (2) the Save Our Seas Foundation to support capacity-building efforts for shark and ray researchers and conservationists in Asia. The project will see 30 delegates from 9 countries across Asia to attend a week-long capacity and skills development workshop hosted at Palawan State University in the Philippines.
Real-time road sign recognition
- 2010
- Australian National University
- Researchers:Insu Song
Therapeutic animatron: interaction framework for making people happy
- 2011
- Cognitive Science Society
- Researchers:Insu SongDenise Dillon
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