Profile
Mingjie Yang
- Postdoctoral Researcher
- RMIT University
- mingjie.yang2@rmit.edu.au
- @/mingjie-yang-31102015b/
Research Interests
- Optical sensing
- Wearable electronics
- Nanomaterials
- Biosensors
- Biomedical devices
Education
- Bachelor of Engineering, Sichuan University, China
- Master of Engineering, Monash University, Australia
- Doctor of Philosophy, RMIT University, Australia
Achievements & Awards
- Falling Walls Lab Australia, Finalist. (2024 August 31)
- Falling Walls Lab Melbourne, 1st Place for Mingjie's Optical Glucose Sensing. (2024 July 19)
Themes
- Manipulate
Dr Mingjie Yang is a dedicated researcher, committed to application of science. With an educational background in engineering, he specializes in optical sensing, wearable electronics, nanomaterials, biosensors, and biomedical devices. His passion lies in leveraging advanced sensing technologies and wearable electronics to enhance disease prevention and management, pushing the boundaries of healthcare. Mingjie began his academic journey with a Bachelor of Engineering at Sichuan University in China, focusing on optoelectronic information and technology. In 2017, he started his postgraduate journey at Monash University in Australia, dedicating himself to research in soft and wearable electronics. His PhD at RMIT University was on optical sensors and biosensors aimed at chronic disease monitoring, offering pain-free, non-invasive alternatives to traditional methods. Among his significant achievements is the development of a miniaturized optical glucose sensor, a breakthrough that earned him the 1st place award at the Falling Walls Lab Melbourne, where he proudly represented Victoria at the Australian national final. Today, Mingjie continues his research as part of the ARC Centre of Excellence for Transformative Meta-Optical Systems (TMOS) at RMIT University, furthering innovations that promise to apply new sensing technologies into practical solutions.
Current Projects
- Optical glucose sensing and miniaturized device.
- Wearable skin damage and UV sensor.
- Wearable skin lesion monitor.
- VO2-based imaging array system for NIR sensing applications.