Marwa Obayya
Papers
1
Total Citations
19
H-Index
1
About
Marwa Obayya is a leading researcher at the intersection of artificial intelligence and brain-computer interfaces (BCI), with a particular focus on motor imagery classification. Her most-cited work, "Arithmetic Optimization with RetinaNet Model for Motor Imagery Classification on Brain Computer Interface" (2022, 19 citations), addresses a critical challenge in assistive technology: enabling communication and control for individuals with movement disabilities through EEG signals. By integrating arithmetic optimization algorithms with advanced deep learning architectures like RetinaNet, Obayya has developed novel approaches that enhance the accuracy and reliability of decoding brain signals. Her contributions are pivotal in making BCI systems more practical for real-world applications, such as controlling assistive robots. With her work cited by peers in both computational intelligence and biomedical engineering, Obayya continues to push the boundaries of how AI can restore autonomy to those with severe motor impairments, bridging the gap between neural activity and machine control.
Research Focus
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Top Papers
- 1