Mohamed Walid
Papers
1
Total Citations
5
H-Index
1
About
Mohamed Walid is a researcher whose work lies at the intersection of nonlinear dynamics, chaos theory, and robotics, with a particular focus on path planning for surveillance applications. His most cited paper, "A Comparative Study of Different Chaotic Systems in Path Planning for Surveillance Applications" (2021, 5 citations), represents a significant contribution to the field by systematically evaluating the performance of four chaotic systems—Lorenz, Arneodo, Liu, and Chen—in generating unpredictable yet efficient surveillance routes. Walid’s key innovation lies in introducing the Arneodo, Liu, and Chen systems to this application, moving beyond the commonly used Lorenz system to demonstrate that alternative chaotic attractors can offer superior coverage and unpredictability. This work has practical implications for autonomous drones and mobile robots operating in security-sensitive environments, where stealth and thorough area scanning are critical. Though early in his career, Walid’s comparative methodology provides a valuable framework for future research, establishing a benchmark for selecting chaotic systems in robotic path planning. His research bridges theoretical chaos theory and applied robotics, offering engineers a toolkit for designing more effective surveillance strategies.
Research Focus
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Top Papers
- 1