Jee Ra

Dr. Jee Ra is a researcher affiliated with the School of Mathematics, Physics and Computing at the University of Southern Queensland. Their work focuses on integrating advanced technologies like UAV systems, machine learning, and remote sensing to address challenges in mining geotechnics, environmental monitoring, and precision agriculture. Key research areas include coal spoil characterization, vegetation resilience modeling, and automated geospatial analysis.

Education:

• Bachelor of Science in Physics, Seoul Women's University
• Graduate Diploma in Education, University of Technology Sydney
• Master of Science, University of Southern Queensland
• Doctor of Philosophy, University of Southern Queensland

Research interests span geomatics, environmental impact assessment, and high-throughput plant phenotyping. Their recent work emphasizes fusion of spectral data with structural analysis for applications in mine rehabilitation and crop disease forecasting. Over 20+ peer-reviewed publications since 2013 demonstrate expertise in multidisciplinary approaches combining AI, IoT, and geospatial technologies.

Key Trends in Publications: A growing focus on UAV-based solutions for spoil pile mapping and vegetation analysis, with increasing emphasis on transfer learning algorithms and automated hyperspectral index derivation. Work also bridges engineering and environmental sciences through 3D point cloud analysis and LiDAR applications in mining and agriculture.

Collaborative Work: Active in developing open-source tools for thermal/multispectral image analysis and IoT-enabled sensors for in-field crop measurements. Contributions to sustainable mining practices include remote sensing-based wetland assessment and geotechnical stability analysis of mine dumps.