Papers
1
Total Citations
8
H-Index
1
About
Dr. Xing Qiu is a leading researcher in the application of artificial intelligence and remote sensing for disaster assessment. His primary research focuses on leveraging machine learning and computer vision to analyze high-resolution satellite imagery, particularly for post-earthquake building damage recognition. Dr. Qiu’s most cited work, "Damaged buildings recognition of post-earthquake high-resolution remote sensing images based on feature space and decision tree optimization" (2020, 8 citations), introduces a novel methodology that optimizes feature extraction and classification to accurately identify structural damage. This contribution is critical for rapid, large-scale disaster response, enabling more efficient allocation of rescue resources. Beyond remote sensing, Dr. Qiu also investigates the security and robustness of multi-agent reinforcement learning systems—a vital area for real-world autonomous applications. By bridging the gap between geospatial data analysis and AI safety, his work has significant implications for both disaster management and the development of trustworthy intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1