Redowan Mahmud

University of Melbourne, Curtin University

Papers

Total Citations

H-Index

About

Redowan Mahmud is a leading researcher at the intersection of fog computing, the Internet of Things (IoT), and Industry 4.0, with a focus on optimizing distributed systems for latency-sensitive applications. His most-cited work, "Context-Aware Placement of Industry 4.0 Applications in Fog Computing Environments" (2019, 92 citations), addresses a critical challenge in the fourth industrial revolution: ensuring that IoT workloads are deployed efficiently across fog nodes to meet strict quality-of-service requirements. By proposing context-aware placement strategies, Mahmud’s research enables real-time industrial automation while overcoming the limitations of cloud-centric models. His more recent work, "FOLD: Fog-dew infrastructure-aided optimal workload distribution for cloud robotic operations" (2024), extends these principles to cloud robotics, demonstrating how fog and dew computing can collaboratively manage robotic tasks with minimal latency. Mahmud’s contributions are pivotal for advancing edge intelligence, and his citation record underscores his influence in shaping scalable, responsive infrastructures for smart manufacturing and autonomous systems.