Speaker
Zicheng Liu
Description
Accurate evaluation of incident power density (IPD) is critical for assessing human electromagnetic exposure in emerging wireless systems operating above 6 GHz (e.g., 5G mmWave and terahertz communications), where traditional measurement methods face challenges due to near-field complexity and ill-conditioned reconstruction problems. To address these limitations, this paper proposes a novel hybrid framework integrating metasurface with physics-informed deep learning for high-precision IPD reconstruction.
