Khairul Anuar Abdul Rahman

Technical University of Malaysia Malacca, Tun Hussein Onn University of Malaysia

Papers

Total Citations

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About

Khairul Anuar Abdul Rahman is a researcher whose work spans intelligent manufacturing, robotics, and biomedical rehabilitation engineering. His research focuses on developing automated systems for quality control, including surface defect characterization using vision-based contour dispersion analysis—a non-contact method that enables rapid and accurate online inspection in polishing processes. In the domain of robotics, he contributed to the development of a mechanical robot for ducting monitoring in MVAC systems, addressing indoor air quality issues through automated inspection. Rahman has also made notable contributions to assistive technology, including a preliminary framework for FES-cycling aimed at restoring movement in spinal cord injury patients, and exploring brain-computer interfaces for body motion control. His most cited work, on surface defect detection (9 citations), highlights his impact in automated quality assurance, while his interdisciplinary approach—from industrial robotics to neural rehabilitation—demonstrates a commitment to solving real-world challenges. Rahman’s work bridges engineering and healthcare, offering practical solutions for manufacturing efficiency and patient mobility.