Mashal Fatima

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About

Mashal Fatima is a researcher whose work spans robotics, autonomous systems, and neural engineering, with a particular focus on Brain-Computer Interface (BCI) technology and its practical applications. Her most influential contribution, "Towards a Low Cost Brain-Computer Interface for Real Time Control of a 2 DOF Robotic Arm" (2015), has garnered 14 citations and represents a significant step toward making BCI technology accessible and affordable, demonstrating how EEG-based neural signals can be harnessed to control robotic systems in real time. This work holds profound implications for individuals with physical disabilities, offering new pathways for prosthetic and assistive device control. Her earlier work on SimBot (2002), a multi-robot simulation platform, reflects a foundational interest in autonomous robotics and software tools for robot development. Her 2018 study on EEG signal acquisition and processing further deepens her commitment to refining BCI methodologies for real-world clinical use. Across her career, Fatima has consistently worked at the intersection of neuroscience, engineering, and robotics, contributing valuable research that bridges the gap between human cognition and intelligent machine control.