Siti Aqlima Ahmad

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About

Dr. Siti Aqlima Ahmad is a leading researcher in biomedical signal processing and human-machine interface technologies. Her work centers on improving the acquisition and interpretation of surface electromyography (SEMG) signals, which are critical for applications ranging from prosthetic limb control and brain-computer interfaces to advanced robotics. Her most cited paper, a comprehensive 2017 review on surface electrode placement for recording electromyography signals, has garnered 19 citations and serves as a foundational guide for reducing noise and optimizing signal fidelity in SEMG acquisition. This contribution has directly influenced the design of more reliable wearable sensors and assistive devices. Beyond this seminal review, Dr. Ahmad’s research continues to push the boundaries of non-invasive neural and muscular signal processing, with her work cited by engineers and clinicians developing next-generation rehabilitation technologies. Her dedication to refining the tools that bridge human physiology and machine control marks her as a key figure in the advancement of biomedical engineering.