Wanida Khotakham
Papers
1
Total Citations
2
H-Index
1
About
Dr. Wanida Khotakham is a researcher in sensor fusion and estimation theory, with a focus on improving accuracy in robotic, navigation, and biomedical systems. Her most cited work, "Comparative Analysis of Sensor Fusion for Angle Estimation Using Kalman and Complementary Filters" (2024), provides a rigorous evaluation of two fundamental sensor fusion techniques—the Kalman filter and the complementary filter—using data from the IMU6050 sensor. By systematically comparing these methods, Dr. Khotakham offers practical insights into their trade-offs in accuracy, computational efficiency, and real-time performance, aiding engineers in selecting the optimal approach for specific applications. Though early in her career, her contributions are already cited twice, signaling growing recognition. Her research addresses a critical challenge in modern engineering: achieving reliable orientation estimation from noisy accelerometer and gyroscope data. Dr. Khotakham’s work is particularly valuable for students and practitioners seeking clear, comparative guidance on implementing sensor fusion in embedded systems. Her focus on practical, application-driven analysis positions her as a promising voice in the field of sensor integration and control systems.
Research Focus
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Top Papers
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