Manar Ahmed Hamza
Papers
3
Total Citations
32
H-Index
3
About
Manar Ahmed Hamza is a researcher at the forefront of bio-inspired robotics and intelligent systems, with key contributions spanning brain-computer interfaces (BCI), autonomous navigation, and biomimetic locomotion. Her work on the Arithmetic Optimization with RetinaNet Model for motor imagery classification (19 citations) advances BCI technology, enabling communication for individuals with movement disabilities by decoding EEG signals to control assistive robots. In autonomous systems, Hamza developed a Dispersal Foraging Strategy with Cuckoo Search Optimization for UAV path planning (10 citations), addressing real-time communication challenges in dynamic marine environments—a critical step for emergency response networks. Her exploration of underwater snake robots (3 citations) demonstrates bio-inspired solutions for navigating harsh environments, offering advantages over traditional wheeled or legged robots. Hamza’s research is characterized by the innovative fusion of metaheuristic algorithms with real-world applications, from healthcare to marine robotics. Her work not only pushes the boundaries of autonomous systems but also holds promise for assistive technologies, making her a notable figure in computational intelligence and robotics.
Research Focus
Key Achievements
Top Papers
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