Mohammed Qader Kheder

Papers

Total Citations

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About

Mohammed Qader Kheder is a researcher at the forefront of intelligent transportation and assistive healthcare systems, leveraging the Internet of Things (IoT), robotics, and deep learning to solve pressing real-world mobility challenges. His most impactful work, "Real-time traffic monitoring system using IoT-aided robotics and deep learning techniques" (2023, 49 citations), tackles the critical issue of urban traffic congestion by integrating autonomous robotic sensors with advanced AI for dynamic, data-driven traffic management. This contribution is foundational for developing smarter, more responsive city infrastructures. Kheder also addresses the growing demand for healthcare automation with his 2024 study, "ENHANCING MOBILITY WITH IOT-BASED AUTONOMOUS WHEELCHAIR," which proposes an intelligent, self-navigating wheelchair to reduce the burden on hospital staff and improve independence for individuals with disabilities. By combining IoT connectivity with autonomous navigation, his work directly confronts the dual pressures of workforce shortages and rising patient needs. Kheder’s research demonstrates a clear commitment to applying cutting-edge technology for tangible societal benefit, making him a notable voice in the fields of IoT, robotics, and human-centered AI.