Richard Josiah Tan Ai
Papers
1
Total Citations
3
H-Index
1
About
Dr. Richard Josiah Tan Ai is a geophysical engineer whose work bridges robotics, sensor fusion, and subsurface imaging. His primary research focuses on improving the accuracy of Capacitive Resistivity Imaging (CRI) for environmental and engineering surveys. His most cited work, "Robotic simulation and GPS position estimation of a towed CRI equipment using Savitzky-Golay filter" (2022), addresses a critical challenge in mobile geophysical surveys: the precise positioning of towed sensor arrays. By integrating robotic simulation with a Savitzky-Golay filter, Dr. Tan Ai developed a method to smooth noisy GPS data, significantly enhancing the positional accuracy of CRI channels during inversion. This contribution directly improves the quality of resistivity maps used in subsurface investigations. While his citation count is still growing, his work represents a novel intersection of robotics and geophysics, offering practical solutions for real-world field deployments. Dr. Tan Ai’s research is particularly valuable for students and professionals working on automated geophysical monitoring, precision agriculture, and infrastructure assessment, demonstrating how advanced signal processing can elevate traditional survey techniques.
Research Focus
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Top Papers
- 1