Omar Banimelhem

Jordan University of Science and Technology

Papers

Total Citations

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About

Omar Banimelhem is a researcher whose work lies at the intersection of wireless sensor networks (WSNs) and mobile robotics, with a particular focus on intelligent control and environmental perception. His key research areas include coverage optimization in large-scale WSNs and autonomous robot navigation in unknown environments. Banimelhem’s major contributions are twofold: he pioneered the use of fuzzy logic-based control to guide mobile nodes for efficient area coverage in sparse sensor networks, addressing a critical challenge in WSN deployment. His 2017 paper on this topic, which has garnered 10 citations, proposes a novel solution where a mobile robot dynamically adjusts its movement to maximize coverage. Earlier, in his 2001 work (7 citations), he developed a method for building environmental maps using fuzzy classification of ultrasonic range data, enabling mobile robots to perceive and navigate unknown spaces without prior knowledge. This foundational approach to map-building demonstrates his long-standing interest in intelligent, adaptive systems. Banimelhem’s research is notable for its practical applications in robotics and sensor networks, offering elegant fuzzy logic solutions to complex spatial problems. His work continues to influence researchers seeking to enhance autonomy and efficiency in distributed sensing and robotic systems.