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About

Maha Yaghi is a robotics researcher whose work sits at the intersection of autonomous systems, artificial intelligence, and human-centered service robotics. Her primary research areas include multi-object tracking for robotic navigation, cloud-based industrial monitoring, and assistive robotics for vulnerable populations. Yaghi’s most impactful contribution is a comprehensive survey on multiple object tracking in robotic applications (33 citations), which systematically maps trends and challenges in autonomous navigation. She also proposed an innovative edge-fog-cloud architecture for detecting thermal anomalies in industrial environments (32 citations), demonstrating how AI and the Internet of Robotic Things can enhance safety in harsh settings. Notably, Yaghi applies her technical expertise to socially meaningful problems: she developed AI-powered service robots to enable independent shopping for elderly and disabled individuals (18 citations), and during the COVID-19 pandemic, she designed contactless learning systems and autonomous robots for deep mask-wearing detection in educational settings. Her recent work includes an AI-powered cameraman robot for automated video production. Across her publications, Yaghi consistently bridges advanced robotics with real-world accessibility and safety challenges, making her research both technically rigorous and socially impactful.