Samah Alshathri
Papers
1
Total Citations
2
H-Index
1
About
Dr. Samah Alshathri is a leading researcher at the intersection of artificial intelligence, neurophysiological signal processing, and assistive robotics. Her work focuses on decoding human intent from multimodal brain and muscle signals—primarily electroencephalography (EEG) and electromyography (EMG)—to create more intuitive and responsive human-machine interfaces. Her most notable contribution is the development of **NeuroFusion-Trans**, a novel transformer-based deep learning model that fuses EEG and EMG data for robust user intent recognition in assistive robotic systems. This work, published in 2025 and already garnering early citations, addresses a critical challenge in the field: accurately interpreting complex neurophysiological signals to enable seamless control of prosthetic limbs or exoskeletons. By leveraging the power of transformer architectures, Dr. Alshathri’s approach captures long-range dependencies in multimodal data, significantly improving classification accuracy over traditional methods. Her research promises to transform the lives of individuals with motor disabilities, offering more natural and adaptive control of assistive devices. With a growing citation footprint and a focus on real-world applications, Dr. Alshathri is establishing herself as a key innovator in next-generation human-robot interaction.
Research Focus
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Top Papers
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