Najah Al Mhanna

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About

Dr. Najah Al Mhanna is a researcher at the intersection of assistive robotics and artificial intelligence, with a primary focus on developing technologies that enhance the safety and independence of elderly populations. Her most cited work, "Mobile Robot Detecting Elderly Falls: Representing Aesthetic Technologies, Theory, Software, and Hardware" (2018), introduces an autonomous surveillance mobile robot designed to detect falls among older adults using Convolutional Neural Networks. Upon detecting a fall, the robot autonomously reports to caretakers, offering a practical, real-time solution to a critical healthcare challenge. This contribution integrates aesthetic design with robust software and hardware systems, reflecting Dr. Al Mhanna’s commitment to creating technologies that are both functional and user-friendly. While her citation count is still growing, this paper has garnered 4 citations, signaling early recognition in the field. Her work represents a meaningful step toward deploying intelligent, responsive robots in care settings, addressing the urgent need for non-intrusive monitoring systems that can improve response times and quality of life for aging populations.