Abdelwahed Motwakel
Papers
3
Total Citations
27
H-Index
3
About
Abdelwahed Motwakel is a rising researcher at the intersection of artificial intelligence, brain-computer interfaces (BCI), and bio-inspired robotics. His work focuses on developing intelligent algorithms to solve complex problems in human-machine interaction and autonomous systems. Motwakel’s most cited paper, “Arithmetic Optimization with RetinaNet Model for Motor Imagery Classification on Brain Computer Interface” (2022, 19 citations), introduces a novel hybrid approach that combines arithmetic optimization with deep learning to decode EEG signals, enabling more accurate control of assistive robots for individuals with movement disabilities. He has also contributed to wireless networking with “Quantum Artificial Intelligence Based Node Localization Technique for Wireless Networks” (5 citations), pioneering the use of quantum-inspired AI to improve localization accuracy in sensor networks. In the domain of bio-inspired robotics, his work on “Locomotion of Bioinspired Underwater Snake Robots Using Metaheuristic Algorithm” (3 citations) demonstrates how metaheuristic optimization can enhance the movement efficiency of snake-like robots in challenging underwater environments. Though early in his career, Motwakel’s cross-disciplinary approach—spanning BCI, quantum AI, and robotics—signals a promising trajectory toward more adaptive, intelligent, and human-centered technologies.
Research Focus
Key Achievements
Top Papers
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