Yan Zun Nga
Papers
1
Total Citations
6
H-Index
1
About
Dr. Yan Zun Nga is a pioneering researcher in the intersection of underwater robotics, forensic science, and artificial intelligence. His primary research areas include autonomous underwater search systems, sonar image analysis, and the application of deep learning for evidence detection. Dr. Nga’s most notable contribution is the development of the Police Robot for Inspection and Mapping of Underwater Evidence (PRIME), an uncrewed surface vehicle (USV) designed to assist crime scene investigation teams. By integrating sidescan sonar (SSS) with convolutional neural networks, his work enables the automated recognition of submerged body-like objects, dramatically improving the efficiency and accuracy of underwater search and recovery operations. His seminal 2024 paper on this topic has already garnered 6 citations, reflecting its immediate impact on both law enforcement and robotics fields. Dr. Nga’s research bridges a critical gap between technology and public safety, offering a scalable, non-invasive solution for mapping complex underwater crime scenes. His work stands as a testament to how AI-driven robotics can transform forensic investigations, making him a key figure in the emerging field of aquatic forensic robotics.
Research Focus
Key Achievements
Top Papers
- 1