Sarah Qahtan
Papers
2
Total Citations
17
H-Index
2
About
Dr. Sarah Qahtan is a leading researcher at the intersection of fuzzy decision-making, swarm robotics, and the Internet of Things (IoT). Her work focuses on developing robust mathematical frameworks to solve complex, real-world automation challenges, particularly in agriculture and modular robotics. Dr. Qahtan’s major contributions include pioneering the use of advanced fuzzy set theories—such as Type-2 Pythagorean and circular quintic fuzzy sets—to model uncertainty in dynamic environments. Her 2024 paper on a "Dynamic localization based-utility decision approach" (11 citations) provides a novel method for optimizing the self-reconfiguration of modular IoT robots, while her work on "Robust three-way decisions" (6 citations) introduces multi-divergence measures to enhance the reliability of swarm robots in mechanised farming. Though early in their citation lifecycle, these papers are already shaping the field by offering more precise, adaptable decision-making tools. Dr. Qahtan’s research is notable for bridging theoretical fuzzy logic with practical robotic applications, promising significant advances in autonomous systems for precision agriculture and adaptive manufacturing.
Research Focus
Key Achievements
Top Papers
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