Yike Xuan
Papers
1
Total Citations
10
H-Index
1
About
Dr. Yike Xuan is a leading researcher in nuclear emergency response and radiation source localization, specializing in Bayesian estimation and mobile robotics. Their most impactful work introduces an unscented particle filtering algorithm based on divide-and-conquer sampling, a novel method that enables mobile detection robots to predictively estimate unknown radioactive sources with enhanced accuracy and efficiency. This contribution, published in 2022 and garnering 10 citations, addresses a critical challenge in nuclear safety by integrating advanced statistical inference with real-time robotic data acquisition. Dr. Xuan’s research bridges theoretical Bayesian methods and practical deployment, offering a scalable solution for hazardous environments where human access is limited. Their work has significant implications for disaster response, homeland security, and environmental monitoring, demonstrating how algorithmic innovation can directly improve operational safety. By advancing the field of autonomous radiation mapping, Dr. Xuan continues to shape the future of nuclear emergency preparedness and intelligent sensing systems.
Research Focus
Key Achievements
Top Papers
- 1