[栏目图片]

Hong-Jie He

Updated::2023-12-14 Clicks:15

Hong-Jie He

Lecturer

ADDRESSNo.136 KeXue Avenue, Zhengzhou, Henan Province, PRC.

Zip Code: 450000

PHONE17629011976

E-mail:hhj@zzuli.edu.cn

Research Field and InterestsRadar target detection, Target detection and recognition in terrestrial and marine environments.

Education Background:

9/2013--6/2019: Ph.D. in Xidian University, Xi’an, China.

9/2009--6/2013: B.S. in Henan Normal University, Xinxiang, China.

Teaching Courses:Electromagnetic Fields and Waves; STM32; Principle and Application of Single Chip Microcomputer.

Main Publications:

[1]Hong-Jie He#*, Ya Zhang, and Ke-Yun Li, An efficient method for analysis of electromagnetic scattering from a 3-D coated object half-buried in PEC rough surface [J].Electromagnetics, 2023.

[2]Hong-Jie He#*, Li-Xin Guo, Ya Zhang. Study on the transient electromagnetic scattering from multiple targets above a rough surface withtime-domain FEM-PML [J].Microwave and Optical Technology Letters, 2021,63(1):58-63.

[3]Hong-Jie He#*, Ya Zhang. An effective method for electromagnetic scattering from a coated object partially buried in a dielectric rough surface [J].Journal of Electromagnetic Waves and Applications, 2020.

[4]Hong-Jie He*#, Li-Xin Guo, Efficient hybrid method for electromagnetic scattering from a coated objectabovea two-layeredroughsurface [J].Applied Optics, 2018,57(25): 7102-7108.

[5]Hong-Jie He*#, Li-Xin Guo, A Multihybrid FE-BI-KA Technique for 3-D Electromagnetic Scattering From a Coated Object Above a Conductive Rough Surface [J].IEEE Geoscience and Remote Sensing Letters, 2016, 13(12):2009-2013.

[6]Hong-Jie He*#, Li-Xin Guo, Wei-Liu. An Efficient Hybrid Method for 3D Scattering from Inhomogeneous Object Buried beneath a Dielectric Randomly Rough Surface [J].International Journal of Antennas and Propagation, 2017.

Research Projects:

[1]National Natural Science Foundation of China (62201512).

[2]Henan Provincial Science and Technology Research Project (222102210083).

[3] Henan Provincial Science and Technology Research Project (212102210554).





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