Arafat Al‐Dweik

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About

Arafat Al-Dweik’s research bridges wireless communications, sensor networks, and biomedical engineering, with a focus on improving localization accuracy and network efficiency. In his most cited work, “Joint Estimation of Location and Orientation in Wireless Sensor Networks Using Directional Antennas” (2020, 10 citations), Al-Dweik introduced a novel algorithm that leverages directional antenna directivity to simultaneously estimate a mobile robot’s position and orientation from distributed sensor signals—a critical advancement for autonomous navigation and IoT applications. He also tackles emerging challenges in brain-computer interfaces (BCI) with his paper “Hybrid MAC Protocol for Brain–Computer Interface Applications” (2020, 2 citations), proposing a medium access control solution to extend network lifetime and overcome communication bottlenecks in thought-controlled systems. By addressing both hardware-driven localization and energy-constrained biomedical networks, Al-Dweik demonstrates a versatile approach to real-world wireless system design. His work on directional antennas and hybrid protocols offers practical pathways for integrating mobile robotics with sensor networks, while his BCI research highlights the potential for longer-lasting, more reliable neural interfaces. Al-Dweik’s contributions are shaping the future of intelligent, energy-aware wireless systems.