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About

Mohamed S. Saraya is a leading researcher at the intersection of the Internet of Robotic Things (IoRT), fog computing, and energy-efficient systems. His work addresses critical challenges in enabling intelligent, real-time communication and autonomous decision-making for networked robots. Saraya’s most impactful contribution is a novel hybrid optimization algorithm combining Genetic Algorithms (GA) with Particle Swarm Optimization (PSO) for energy-efficient computation offloading in IoRT environments, a paper that has garnered 31 citations since 2023. This work is pivotal for reducing power consumption and latency in robotic networks. He has also systematically analyzed fog-based architectures for IoRT, highlighting how artificial intelligence and machine learning empower robots to adapt to unpredictable conditions—a foundational study with 8 citations. Most recently, Saraya has proposed an effective robot selection and recharge scheduling approach to enhance overall network performance, addressing the practical challenges of power management and remote control. His research is instrumental in advancing smart connectivity for autonomous systems, making him a key figure in the evolution of next-generation robotic and IoT integration.