Feng Han(韩峰)

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Associate Professor
School of Computing and Information Technology,
Great Bay University

Email: feng.han@gbu.edu.cn
Address: Room B507, Building 1,
No. 16 Daxue Road, Songshan Lake District,
Dongguan, Guangdong, China.

Note

Openings: We are looking for highly self-motivated postdoctoral fellows, Ph.D. students, master's students, and research assistants interested in working on cutting-edge problems in electromagnetic detection and imaging. Now we have joint Ph.D. programs with Harbin Institute of Technology and Sun Yat-sen University. Interested applicants with solid backgrounds in mathematics and physics, preferably electromagnetics, and an aptitude for fundamental research are encouraged to contact Prof. Han with a CV.

Research Interests

Computational Electromagnetic Imaging(CEMI)

  • Electromagnetic scattering and inverse scattering in complex media

  • Multiparametric and multidimensional hybrid electromagnetic full-wave inversion

  • Fast electromagnetic full-wave inversion based on machine learning

  • Configuration of the antenna array for electromagnetic inverse problems

  • Geophysical electromagnetic exploration imaging and full-wave inversion

Brief Biography

    Feng Han is an Associate Professor at Great Bay University, Dongguan, China. He received the B.S. degree in electronic science from Beijing Normal University, Beijing, China, in 2003, the M.S. degree in geophysics from Peking University, Beijing, China, in 2006, and the Ph.D. degree in electrical engineering from Duke University, Durham, NC, USA, in 2011. From 2011 to 2015, he was a software engineer at Wavenovation, Inc. In July 2015, he joined the Institute of Electromagnetics and Acoustics, Xiamen University as an Assistant Professor and was promoted to Associate Professor there in 2020. In October 2023, he joined the School of Computing and Information Technology, Great Bay University as an Associate Professor. His research interests include computational electromagnetics, electromagnetic inverse scattering, full-wave inversion based on machine learning, etc.

Selected Publications

  • Zhen Guan, Jiawen Li, Feng Han, “Exponential accuracy solutions of 2-D electromagnetic scattering from multilayered nonconcentric elliptical magnetodielectric cylinders under TE illumination,” IEEE Transactions on Microwave Theory and Techniques, vol. 72, no. 5, pp. 2914–2926, May. 2024.

  • Feng Han, Miao Zhong, Junjie Fei, “Hybrid microwave imaging of 3-D objects using LSM and BIM aided by a CNN U-Net,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 2022, Art. no. 2006809.

  • Yanjin Chen, Jiawen Li, Lixiao Wang, Feng Han, Qing Huo Liu, “Multiparametric electromagnetic inversion of 3-D anisotropic objects embedded in layered media based on mixed L1-L2 norm regularization,” IEEE Antennas and Wireless Propagation Letters, vol. 20, no. 5, pp. 738–742, May. 2021.

  • Feng Han, Bingyang Liang, Jiawen Li, Feifan Liu, Gaopeng Lu, Qing Huo Liu, “Mid- and low-latitude ionospheric D region remote sensing by radio atmospherics-Part I: Forward modeling and field measurement validations,” IEEE Transactions on Antennas and Propagation, vol. 68, no. 2, pp. 1044–1054, Feb. 2020.

  • Hai Liu, Zhijun Long, Feng Han, Guangyou Fang, Qing Huo Liu, “Frequency-domain reverse-time migration of ground penetrating radar based on layered medium Green’s functions,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 8, pp. 2957–2965, Aug. 2018.

  • Yongjin Chen, Paiju Wen, Feng Han, Na Liu, Qing Huo Liu, “Three-dimensional reconstruction of objects embedded in spherically layered media using the variational Born iterative method,” IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 7, pp. 1037–1041, Jul. 2017.

  • Feng Han, Steven A. Cummer, “Midlatitude daytime D region ionosphere variations measured from radio atmospherics,” Journal of Geophysical Research, vol. 115, 2010, Art. no. A10314.

  • Steven A. Cummer, Jingbo Li, Feng Han, Gaopeng Lu, Nicolas Jaugey, Walter A. Lyons, Thomas E. Nelson, “Quantification of the troposphere-to-ionosphere charge transfer in a gigantic jet,” Nature Geoscience, vol. 2, pp. 617–620, 2009.


Full list of publications.