Somayeh Shahrabadi

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About

Somayeh Shahrabadi is a researcher whose work lies at the intersection of computer vision, assistive technology, and human-robot interaction. Her key research areas include scene understanding, particularly for navigation assistance, and the development of intelligent systems to support individuals with visual impairments. Her most notable contribution is the pioneering paper "Detection of Indoor and Outdoor Stairs" (2013), which has garnered 27 citations and laid foundational groundwork for real-time environmental perception. This work addresses a critical safety challenge—enabling autonomous systems and wearable devices to reliably identify staircases in varied lighting and structural conditions. By focusing on robust feature extraction and classification, Shahrabadi’s research directly impacts the design of safer, more responsive navigation aids for the visually impaired, as well as the broader field of mobile robotics. Her contributions demonstrate a clear commitment to translating computational methods into practical, life-enhancing technologies. With continued influence in assistive robotics and scene parsing, Shahrabadi’s work remains a touchstone for researchers developing inclusive, context-aware systems that bridge the gap between human needs and machine perception.