Huma Zia
Papers
4
Total Citations
37
H-Index
4
About
Huma Zia is a rising researcher at the intersection of artificial intelligence, robotics, and radar sensing, whose work focuses on developing intelligent autonomous systems for real-world applications. Her key research areas include human activity recognition, gesture-controlled robotics, and AI-driven automation for healthcare and education. Zia’s most cited work, a comprehensive review on through-the-wall human activity recognition using ultra-wideband radar (21 citations), establishes her expertise in leveraging radar technologies for surveillance, search and rescue, and health monitoring. She has also pioneered a web-based gesture recognition system using a custom YOLOv5s model, successfully implemented on an omnidirectional autonomous vehicle (7 citations), demonstrating practical AI-robotics integration. During the COVID-19 pandemic, Zia contributed to public health by developing autonomous robots for deep mask-wearing detection in educational settings (5 citations), addressing critical safety needs. Her innovative AI-powered cameraman robot for automated video production (4 citations) further showcases her ability to translate complex AI models into tangible, user-friendly systems. With a growing portfolio of impactful work, Huma Zia is establishing herself as a versatile engineer advancing human-robot interaction and intelligent sensing technologies.
Research Focus
Key Achievements
Top Papers
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