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About

Mahmoud Nasr is a researcher whose work sits at the intersection of artificial intelligence, smart healthcare, and robotics, with a particular focus on leveraging emerging technologies to address real-world challenges in human care and autonomous systems. His most influential contribution, "Smart Healthcare in the Age of AI: Recent Advances, Challenges, and Future Prospects" (2021), has garnered over 214 citations, establishing him as a notable voice in the discourse surrounding AI-driven transformation of healthcare delivery. This work critically examines how personalized, technology-enabled healthcare models can better serve aging populations, the chronically ill, and individuals with disabilities — reducing dependence on traditional healthcare infrastructure. Complementing this, his research on human-machine interaction platforms for home care support systems demonstrates a practical commitment to designing assistive technologies that address the growing global caregiver shortage. Nasr has also contributed to the field of autonomous robotics, exploring multi-robot simultaneous localization and mapping (SLAM) frameworks, broadening his technical expertise beyond healthcare. Together, his body of work reflects a researcher dedicated to building intelligent, human-centered systems that respond to some of society's most pressing demographic and technological challenges.