Md. Abdur Razzaque

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About

Md. Abdur Razzaque is a leading researcher in cloud robotics and edge computing, whose work focuses on optimizing workload distribution in distributed systems. His most-cited paper, "FOLD: Fog-dew infrastructure-aided optimal workload distribution for cloud robotic operations" (2024), introduces a novel framework that leverages fog and dew computing to efficiently allocate computational tasks across cloud, fog, and device layers, reducing latency and energy consumption in robotic operations. This work has garnered 4 citations in its first year, reflecting its timely relevance to the growing field of real-time, resource-constrained robotic systems. Razzaque’s contributions address critical challenges in latency-sensitive applications, such as autonomous navigation and industrial automation, by enabling seamless coordination between cloud and edge resources. His research bridges the gap between theoretical optimization and practical deployment, offering scalable solutions for next-generation robotic networks. Beyond this paper, Razzaque has published extensively on IoT and fog computing architectures, earning recognition for advancing energy-efficient, decentralized processing. His work is particularly valuable for students and researchers exploring the intersection of robotics, distributed systems, and edge intelligence.