Hassan Naseri

Papers

Total Citations

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About

Hassan Naseri’s research centers on radio-frequency sensing and indoor localization, with a particular focus on leveraging multipath propagation for environmental mapping. His most-cited work, “Indoor mapping using MIMO radio channel measurements” (2017, 2 citations), introduces a method for three-dimensional indoor mapping by extracting high-resolution multipath delay and direction estimates from MIMO channel measurements. This contribution addresses a critical need for accurate geometrical maps in applications such as indoor localization and robot navigation, demonstrating how radio signals can be repurposed beyond communication to sense physical surroundings. While his citation count is modest, the novelty of his approach—using multipath components to reconstruct indoor environments—positions his work as a foundational step toward more autonomous and infrastructure-free mapping systems. Naseri’s research bridges signal processing and geospatial intelligence, offering a cost-effective alternative to traditional mapping technologies like LiDAR. For students and researchers exploring the intersection of wireless communications and sensing, his work exemplifies how channel measurements can unlock new capabilities in smart environments and pervasive computing.