Qinting Li
Qinting is a PhD candidate at the University of Wollongong, working on developing energy-efficient edge AI models for environmental monitoring in extreme conditions. Her research focuses on lightweight segmentation and generative AI techniques for Antarctic moss monitoring, enabling real-time analysis on low-power devices such as the NVIDIA Jetson platform. As part of SAEF, Qinting will contribute to the development and deployment of AI-driven monitoring systems that can detect and analyse environmental changes in Antarctica, supporting long-term ecological research and climate change studies. Her work aims to bridge AI innovation and field applications in polar science.
“I am inspired by how using AI for science can contribute to protecting Antarctica’s environment.”
— Qinting Li
Qinting Li
PhD student
University of Wollongong
Qinting is a PhD candidate at the University of Wollongong, working on developing energy-efficient edge AI models for environmental monitoring in extreme conditions. Her research focuses on lightweight segmentation and generative AI techniques for Antarctic moss monitoring, enabling real-time analysis on low-power devices such as the NVIDIA Jetson platform. As part of SAEF, Qinting will contribute to the development and deployment of AI-driven monitoring systems that can detect and analyse environmental changes in Antarctica, supporting long-term ecological research and climate change studies. Her work aims to bridge AI innovation and field applications in polar science.
“I am inspired by how using AI for science can contribute to protecting Antarctica’s environment.”
— Qinting Li
