Nur Hazliza Ariffin

National University of Malaysia, Monash University Malaysia

Papers

Total Citations

H-Index

About

Nur Hazliza Ariffin is a researcher specializing in sensor fusion, inertial navigation, and low-cost MEMS-based angle estimation for robotics and autonomous systems. Her most cited work, "Low cost MEMS gyroscope and accelerometer implementation without Kalman Filter for angle estimation" (2016, 26 citations), addresses a critical challenge in robotics: achieving accurate tilt angle measurement without computationally expensive Kalman filtering. This contribution offers a practical, accessible solution for real-time applications, reducing system complexity while maintaining performance. More recently, her comprehensive review "True north measurement: A comprehensive review of Carouseling and Maytagging methods of gyrocompassing" (2024, 20 citations) consolidates and analyzes two key gyrocompassing techniques, providing a valuable resource for researchers in navigation and geolocation. Ariffin’s work bridges the gap between theoretical sensor fusion and cost-effective implementation, making her research highly relevant for students and engineers developing affordable, reliable orientation systems. Her focus on simplifying advanced estimation methods has made her a notable voice in the MEMS sensor community, with her papers serving as key references for those seeking to balance accuracy, cost, and computational efficiency in real-world robotics and navigation projects.