Monica Gulati

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About

Monica Gulati is a leading researcher at the intersection of artificial intelligence and neurorehabilitation, with a particular focus on transforming stroke recovery. Her work bridges the gap between acute clinical care and long-term patient outcomes, exploring how AI-driven tools can personalize rehabilitation protocols, enhance motor and cognitive recovery, and improve quality of life for survivors. Her most-cited paper, "Artificial intelligence in stroke rehabilitation: From acute care to long-term recovery" (2025, 28 citations), provides a comprehensive framework for integrating machine learning, wearable sensors, and predictive analytics into every stage of the stroke care continuum. This contribution has been widely recognized for its practical implications, offering clinicians and engineers a roadmap for developing adaptive, patient-centered technologies. Gulati’s research is notable for its interdisciplinary approach, combining clinical neuroscience, biomedical engineering, and data science to address real-world challenges in rehabilitation. Her work is already influencing the design of next-generation assistive devices and has been cited in policy discussions on digital health innovation. For students and researchers, Gulati exemplifies how AI can be harnessed not just for diagnosis, but for empowering patients on their journey to recovery.