Mohamed Faizal

National Yang Ming Chiao Tung University

Papers

Total Citations

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About

Mohamed Faizal is a researcher at the forefront of smart urban development, specializing in intelligent edge analytics and the integration of advanced computational frameworks for next-generation cities. His work focuses on leveraging edge computing and data-driven methodologies to enhance urban infrastructure, optimize resource allocation, and enable real-time decision-making in complex environments. Faizal’s most-cited paper, "Toward Smart Urban Development Through Intelligent Edge Analytics" (2020), introduces a novel paradigm that combines distributed analytics with urban sensing networks, offering scalable solutions for traffic management, energy efficiency, and public safety. This contribution has garnered attention for its practical implications in sustainable city planning, earning 2 citations and laying the groundwork for further exploration in edge intelligence. Faizal’s research bridges the gap between theoretical models and applied technologies, emphasizing the role of low-latency processing in addressing urban challenges. His work is particularly notable for its interdisciplinary approach, merging computer science with urban studies to foster resilient, adaptive cities. As a rising voice in this domain, Faizal continues to explore the intersection of IoT, machine learning, and edge architectures, aiming to transform how urban systems are monitored and managed. His contributions are pivotal for students and researchers interested in the future of smart, sustainable urban ecosystems.