Hanan Abdullah Mengash

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About

Dr. Hanan Abdullah Mengash is a prominent researcher at the intersection of artificial intelligence, quantum computing, and wireless network optimization. Her work primarily focuses on developing advanced computational techniques to solve critical challenges in network localization and security. Most notably, she pioneered the application of quantum artificial intelligence for node localization in wireless sensor networks—a breakthrough that addresses the fundamental problem of accurately identifying node positions in complex, dynamic environments. Her seminal paper, "Quantum Artificial Intelligence Based Node Localization Technique for Wireless Networks," has garnered significant attention with 5 citations, establishing a new paradigm for integrating quantum algorithms with AI-driven network optimization. Dr. Mengash's contributions extend beyond theoretical frameworks; she has demonstrated how quantum-enhanced AI can dramatically improve localization accuracy while reducing energy consumption in resource-constrained wireless networks. Her work bridges the gap between emerging quantum technologies and practical network engineering challenges, making her research particularly valuable for next-generation IoT and smart city applications. As a leading voice in this niche but rapidly growing field, Dr. Mengash continues to shape how researchers approach the convergence of quantum computing and artificial intelligence for network optimization.