Papers
16
Total Citations
598
H-Index
11
About
Dr. Ashfaqur Rahman is a leading researcher at the intersection of cloud robotics, edge computing, and cyber-physical systems (CPS), with a focus on optimizing resource allocation and task offloading for real-world automation. His work addresses critical challenges in latency-sensitive, data-heavy robotic applications across smart factories, agriculture, healthcare, and smart cities. Dr. Rahman’s major contributions include pioneering multi-objective resource allocation frameworks for edge-cloud robotic workflows, as demonstrated in his highly cited 2021 survey (165 citations) and his 2019 paper on smart factory optimization (129 citations). He has advanced communication-aware task offloading strategies that balance mobility, energy efficiency, and connectivity, notably through genetic algorithms and deep reinforcement learning for system resilience. His research has been instrumental in enabling cloud-aided robots to overcome multi-hop data transfer delays, enhancing performance in agricultural and urban environments. With over 550 total citations, Dr. Rahman’s work has shaped the design of robust, scalable robotic systems for Industry 4.0 and beyond, earning him recognition as a key innovator in cloud robotics and CPS integration.
Research Focus
Key Achievements
Top Papers
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- 4Robotic Edge Resource Allocation for Agricultural Cyber-Physical System36 citations · 2021
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- 8An Image Based Approach to Compute Object Distance23 citations · 2008
- 9Cloud-Enhanced Robotic System for Smart City Crowd Control23 citations · 2016
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