Abd Rahman Ramli

Papers

Total Citations

H-Index

About

Dr. Abd Rahman Ramli is a leading researcher in assistive technology and mobile robotics, with a focus on brain-computer interfaces (BCI) and computer vision. His most-cited work, "Utilization of Genetic Algorithm for Optimal EEG Channel Selection in Brain-Computer Interface Application" (2014, 6 citations), addresses a critical bottleneck in non-invasive BCI systems: the high dimensionality of EEG data from 32+ channels. By applying genetic algorithms to optimize channel selection, Dr. Ramli significantly reduces computational load while preserving signal quality, advancing practical BCI for assistive technologies. In mobile robotics, he has pioneered scene modeling and place categorization, notably through "Integration of Global and Local Salient Features for Scene Modeling in Mobile Robot Applications" (2013, 3 citations) and "Improved SIFT algorithm for place categorization" (2015, 2 citations). His improved SIFT algorithm introduces a masking approach that reduces computational complexity by balancing key point detection with processing time, enabling more efficient robot navigation. With a total of 11 citations across his three most-cited papers, Dr. Ramli’s work bridges algorithmic efficiency and real-world application, making him a notable contributor to both BCI and autonomous systems research.