Muna Al‐Razgan

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About

Muna Al-Razgan is a leading researcher at the intersection of computing education and intelligent robotics, with a career dedicated to broadening participation in STEM and advancing autonomous systems. Her pioneering work in educational outreach is exemplified by her highly cited 2014 study (29 citations) on using App Inventor and LEGO Mindstorms NXT in summer camps to attract high school girls to computing fields in Saudi Arabia—a foundational contribution to gender equity in technology. She has also conducted systematic reviews of robotics applications since 2005 (12 citations), establishing a comprehensive framework for the field. More recently, Al-Razgan has made significant contributions to robotic motion planning, notably through a controlled 2025 study (7 citations) comparing particle swarm optimization and whale optimization algorithms for path planning on the KUKA KR4 R600 industrial arm. This work introduced a unified 6-DOF pipeline combining quintic joint-space trajectories with artificial potential fields, demonstrating that WOA yields the shortest obstacle-avoiding path (0.714 units) with smooth dynamics. Her research bridges theoretical optimization with practical robotics, while her commitment to inclusive education continues to inspire the next generation of engineers and computer scientists.