Areej Malibari

Princess Nourah bint Abdulrahman University, King Abdulaziz University

Papers

Total Citations

H-Index

About

Dr. Areej Malibari is a researcher whose work bridges artificial intelligence, brain-computer interfaces (BCI), and smart home technologies. Her most impactful contribution, an arithmetic optimization with RetinaNet model for motor imagery classification in BCI systems (19 citations), directly addresses the challenge of enabling communication for individuals with movement disabilities by decoding EEG signals to control assistive robots. This work advances practical, non-invasive neural interfaces. In precision agriculture, Dr. Malibari has designed and evaluated a deep CNN algorithm for detecting farm weeds (3 citations), offering a targeted alternative to broad herbicide spraying—reducing environmental harm and manual labor. Earlier, she explored ambient intelligence with an adaptive platform that recommends recipes using computing with words (2 citations), aiming to enhance quality of life through natural, user-friendly interactions in smart homes. Across these domains, Dr. Malibari demonstrates a commitment to applying deep learning and intelligent systems to solve real-world problems, from healthcare accessibility to sustainable farming and personalized living environments. Her work reflects a versatile expertise in machine learning, signal processing, and human-centered computing.