Naseem Adnan Alsamarai
Papers
1
Total Citations
9
H-Index
1
About
Dr. Naseem Adnan Alsamarai is a leading researcher in the optimization of Internet of Things (IoT) systems, with a core focus on fog and cloud computing architectures. Her most cited work, “Improved Performance and Cost Algorithm for Scheduling IoT Tasks in Fog–Cloud Environment Using Gray Wolf Optimization Algorithm” (2024, 9 citations), introduces a novel bio-inspired algorithm that dramatically enhances task scheduling efficiency. By leveraging the Gray Wolf Optimization technique, Dr. Alsamarai’s research addresses the critical challenge of balancing performance and cost in distributed computing environments—a pressing issue as IoT expands into smart homes, healthcare, and industrial robotics. Her contributions provide a scalable, cost-effective framework that reduces latency and energy consumption while maintaining high throughput. This work has been recognized for its practical applicability in real-time IoT deployments, earning citations from peers exploring edge computing and resource management. Dr. Alsamarai’s research is pivotal for students and engineers seeking to optimize the intersection of IoT, fog, and cloud technologies, offering a blueprint for smarter, more efficient task scheduling in an increasingly connected world.
Research Focus
Key Achievements
Top Papers
- 1