Eqab Almajali

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About

Eqab Almajali is a researcher whose work sits at the intersection of radar sensing and intelligent agricultural systems. He is best known for his comprehensive review on through-the-wall human activity recognition using radar technologies, a pivotal paper that has already garnered 21 citations since its 2024 publication. This work systematically explores the vital role of ultra-wideband (UWB) radar in surveillance, search and rescue, and health monitoring, highlighting how high-frequency, wide-bandwidth pulses enable long-range detection and penetration through obstacles. In parallel, Almajali has made notable contributions to smart agriculture, developing a deep transfer learning-based system for automated date fruit classification. His 2023 study, which classifies fruit type and maturity stage, earned 4 citations and addresses a critical need for efficient robotic harvesting solutions. By bridging advanced radar signal processing with practical computer vision applications, Almajali demonstrates a versatile research portfolio that spans defense, emergency response, and agricultural automation. His work on UWB radar stands out for its potential to revolutionize non-invasive monitoring, while his agricultural AI research supports the growing demand for precision farming technologies.