Samia Choueiry

American University of Science and Technology

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About

Dr. Samia Choueiry is a leading researcher in robotics and computational optimization, with a primary focus on autonomous navigation and intelligent path planning. Her most impactful work, "Mobile Robot Path Planning Using Genetic Algorithm in a Static Environment" (2019, 26 citations), represents a significant contribution to the field by demonstrating how genetic algorithms—originally developed by Goldberg—can be effectively applied to solve complex optimization problems in static environments. This research provides a comprehensive review of path planning optimization challenges while introducing a novel algorithm that enables mobile robots to navigate efficiently through predetermined spaces. Dr. Choueiry's work bridges the gap between theoretical optimization techniques and practical robotic applications, offering solutions that are both computationally efficient and implementable in real-world scenarios. Her contributions are particularly valuable for researchers working on autonomous systems, warehouse logistics, and industrial robotics, where reliable static environment navigation remains a fundamental challenge. Through her methodical approach to algorithm development and validation, Dr. Choueiry has established herself as an important voice in the ongoing effort to create more intelligent and autonomous robotic systems.