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About

Norhafizan Ahmad is a leading researcher in rehabilitation robotics, sensor systems, and human–machine interaction, with a particular focus on wearable assistive technologies. His most influential work, the 2013 review “Reviews on Various Inertial Measurement Unit (IMU) Sensor Applications,” has garnered 381 citations, establishing a foundational resource for researchers exploring IMU use in navigation, manufacturing, and robotics. Ahmad’s contributions extend to exoskeleton control, where he developed a dual unscented Kalman filter approach for synchronous walking assistance in repetitive manual handling tasks—a critical innovation for preventing work-related lower-limb disorders. He has also advanced surgical robotics through cooperative orthopedic drilling systems, enabling precise, collaborative bone drilling with dual manipulators. Additionally, his review of steady-state visual evoked potential-based brain-computer interfaces for exoskeleton control highlights his work in non-invasive neural control methods for spinal cord injury rehabilitation. With a career spanning sensor integration, robotic control, and BCI applications, Ahmad’s research directly addresses real-world challenges in occupational health and medical robotics, making him a key figure in assistive technology development.