Ameen Awwad

Papers

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About

Ameen Awwad is a pioneering researcher at the intersection of robotics, artificial intelligence, and environmental engineering, with a focused mission to safeguard global water resources. His primary research areas include autonomous robotic systems, deep learning for infrastructure monitoring, and real-time water quality assessment. Dr. Awwad’s major contributions lie in developing intelligent, unmanned ground vehicles (UGVs) that integrate advanced AI to detect and diagnose critical issues in water distribution networks. His landmark 2023 paper, "Employing Robotics and Deep Learning in Underground Leak Detection," has garnered 14 citations for introducing a novel UGV equipped with infrasonic sensors and neural networks to pinpoint leaks in underground pipelines, mitigating significant economic and environmental losses. Building on this, his 2024 work on an "AI-Aided Robotic Wide-Range Water Quality Monitoring System" (4 citations) addresses a global health crisis by enabling autonomous early detection of waterborne viral outbreaks, a vital tool for developing nations. Through these innovations, Dr. Awwad demonstrates a profound commitment to sustainable water management, merging cutting-edge robotics with practical solutions to protect public health and infrastructure.