Belal Korany

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About

Belal Korany is a researcher whose work is reshaping how we think about wireless sensing and signal processing, with a particular focus on angle-of-arrival (AoA) estimation and adaptive imaging. His most influential contribution, "Magnitude-Based Angle-of-Arrival Estimation, Localization, and Target Tracking" (2018), has garnered 63 citations and introduces a paradigm-shifting approach: estimating AoA using only received signal magnitude, bypassing the need for phase information. This innovation has significant implications for low-cost, low-power localization and tracking systems. In a complementary vein, his work on "Adaptive Near-Field Imaging with Robotic Arrays" (2018) explores the use of unmanned vehicles to synthesize adaptive, robotic antenna arrays for narrowband RF imaging. This approach moves beyond static, pre-determined array configurations, enabling more informative and flexible imaging of unknown environments. Together, these contributions demonstrate Korany’s ability to solve fundamental signal processing challenges while pushing the boundaries of practical, deployable wireless sensing systems. His research is particularly relevant for students and engineers interested in the intersection of signal processing, robotics, and next-generation wireless technologies.