M Sampoornam

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About

M Sampoornam is a forward-thinking researcher at the intersection of healthcare technology and artificial intelligence, with a primary focus on smart rehabilitation systems and assistive robotics. Her most notable contribution is the pioneering work "Cloud-Powered Smart Rehabilitation and Assistive Robotics for Stroke Recovery with Recurrent Neural Networks" (2024), which addresses the global challenge of long-term impairment caused by stroke. In this study, she introduces an innovative cloud-based rehabilitation framework enhanced by Recurrent Neural Networks (RNNs), designed to deliver personalized, adaptive therapy for stroke patients. By integrating cloud computing with intelligent robotics, her system enables real-time monitoring and data-driven adjustments to treatment protocols, significantly improving recovery outcomes. Though early in its citation impact, this work represents a critical step toward accessible, scalable, and cost-effective neurorehabilitation. Sampoornam’s research holds promise for transforming post-stroke care, bridging the gap between advanced AI and practical clinical applications. Her contributions are particularly valuable for students and researchers exploring the convergence of machine learning, robotics, and patient-centered healthcare innovation.