Papers
1
Total Citations
38
H-Index
1
About
Taj Rahman is a leading researcher in the Internet of Things (IoT) and edge computing, with a focus on optimizing network performance for industrial automation. His most-cited work, "Efficient Edge Nodes Reconfiguration and Selection for the Internet of Things" (2019, 38 citations), addresses critical challenges in modernizing industrial processes by enabling local data processing to meet stringent security and latency requirements. Rahman’s contributions center on developing reconfiguration strategies for edge nodes, allowing dynamic selection and adaptation to ensure efficient, real-time decision-making in autonomous and automated systems. This work has significant implications for smart manufacturing and Industry 4.0, where low-delay, secure operations are paramount. By tackling the trade-offs between cloud reliance and local processing, Rahman has advanced practical solutions for scalable IoT deployments. His research continues to influence the design of resilient edge architectures, making him a key figure in bridging theoretical frameworks with real-world industrial applications. With growing citation impact, Rahman’s work is essential reading for students and engineers exploring edge intelligence and IoT systems.
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Top Papers
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