Dr. Xun Li is the Team Leader of the Quantitative Imaging Team and Senior Research Engineer in Cyber Physical System Research Program, CSIRO Technology. She is a passionate and impact-driven researcher specialising in applied computer vision and artificial intelligence, developing vision-based technologies that address real-world challenges across digital agriculture, environmental monitoring, robotics, and human wellbeing.
Before joining CSIRO in 2022, Dr. Li was a Postdoctoral Research Associate at the University of New South Wales (UNSW), where she conducted research on computer vision and deep learning for human behaviour analysis . Earlier, she worked at CSIRO's High Resolution Plant Phenomics Centre, leading the development of automated computer vision pipelines for large-scale plant phenotyping. She received her PhD in Surveying and Geospatial Engineering from UNSW's SNAP Lab, where her research focused on vision-based positioning and navigation using geo-referenced 3D maps.
Dr. Li leads multidisciplinary research projects translating cutting-edge AI into practical industry solutions and has jointly secured over AUD $3 million in competitive industry and research funding. Her research interests include 3D scene understanding, digital agriculture, human behaviour analysis, embodied AI, and vision systems for environmental monitoring.
Her work has been recognised internationally, including the 2023 Asia Pacific ICT Alliance (APICTA) Award for Research and Development Project of the Year, a Merit Award for Artificial Intelligence Project of the Year, and selection as a 2023 Women in AI Awards Asia-Pacific Finalist.
