Jawad Yousaf

Papers

Total Citations

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About

Jawad Yousaf is an emerging researcher at the forefront of intelligent sensing and autonomous systems, with key contributions spanning radar-based human activity recognition, gesture-controlled robotics, and agricultural AI. His most cited work, a comprehensive 2024 review on through-the-wall human activity recognition using ultra-wideband (UWB) radar technologies, has already garnered 21 citations, establishing his expertise in leveraging high-frequency, wide-bandwidth pulses for surveillance, search and rescue, and health monitoring applications. In 2025, Yousaf demonstrated his innovation in human-machine interaction by developing a web-based hand gesture recognition model using a custom-trained YOLOv5s architecture, validated through a gesture-controlled omnidirectional autonomous vehicle—a project that earned 7 citations for its practical, real-time control capabilities. His research also extends to precision agriculture, where he proposed a deep transfer learning system for automated date fruit classification based on type and maturity stage, achieving 4 citations and supporting the development of smart robotic harvesting solutions. By integrating deep learning with radar and computer vision technologies, Yousaf is advancing practical, deployable systems that bridge the gap between human intent and machine action, making his work highly relevant for students and researchers in robotics, AI, and remote sensing.