Mohamed Sharaf

King Saud University, Applied Science Private University

Papers

Total Citations

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About

Dr. Mohamed Sharaf is a pioneering researcher at the intersection of robotics, bio-inspired computation, and medical engineering. His work centers on developing intelligent optimization algorithms for complex multi-agent systems, with a particular focus on space exploration and autonomous decision-making. Dr. Sharaf’s most notable contribution is the creation of a novel, adaptable algorithm that fuses a parameterized Aquila Optimizer—a bio-inspired technology—with deterministic multi-agent exploration, enhanced by stochastic factors. This innovative approach, detailed in his highly cited 2023 paper (10 citations), offers a robust solution for coordinated robotic missions in uncertain environments. In parallel, Dr. Sharaf has advanced medical robotics by introducing square root neutrosophic normal interval-valued sets (SRNSNIVS) for multi-attribute decision-making, a groundbreaking framework published in 2023 (7 citations). This work extends existing neutrosophic set theories, providing a powerful tool for selecting optimal robotic systems in surgical and diagnostic applications. With his interdisciplinary research and growing citation impact, Dr. Sharaf is establishing himself as a key figure in the development of intelligent, adaptive robotic systems for both space and medical domains.