Anwer Mustafa Hilal

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About

Anwer Mustafa Hilal is a prominent researcher whose work sits at the intersection of artificial intelligence, wireless sensor networks, and smart city infrastructure. His key research areas include quantum AI for network optimization, computer vision for environmental sustainability, and IoT-enabled automation. Among his most impactful contributions is a pioneering study on "Quantum Artificial Intelligence Based Node Localization Technique for Wireless Networks" (2022), which addresses the critical challenge of precise node positioning in wireless sensor networks—a foundational problem for applications ranging from environmental monitoring to industrial automation. This work has garnered 5 citations, reflecting its growing influence in the AI-networking community. More recently, Hilal has turned his attention to sustainability, authoring "A comprehensive review of AI-powered waste segregation: Advancing the vision of smart Saudi Cities" (2026). This systematic review synthesizes advances in computer vision, IoT-enabled smart bins, robotic automation, and blockchain frameworks, directly supporting Saudi Arabia’s Vision 2030. With 3 citations already, this work positions Hilal as a key voice in the intersection of AI and urban environmental policy. His research demonstrates a clear trajectory from foundational networking algorithms to applied, policy-relevant smart city solutions.