空间地球科学研究院准聘副教授（姑苏青年教授）、硕士生导师; 硕博士毕业于中国科学院大学(2014-2019)，2019-2021年法国斯特拉斯堡大学博士后，2021-2024年任职于南京理工大学副教授。2024年3月起就职申慱sunbet官网入口苏州校区空间地球科学研究院。曾获国际“青年科学奖”4项，中国科学院院长优秀奖、江苏省“双创博士”等荣誉。

《雷达信号与系统》、《空间地球科学导论》

微波遥感机理与应用、雷达数据处理与反演

已发表论文43篇，代表性SCI论文列表：

1.     X. Zhao, J. A. Benediktsson, Ying Yang, K. S. Chen, Magnus Örn Úlfarsson, “Exploring Transformer-Based Direction-of-Arrival Estimation Over Sea Surface: A BERT Approach with Physics-Based Loss Function”, IEEE Transactions on Geoscience and Remote Sensing, 2024, DOI: 10.1109/TGRS.2024.3440224.

2.     Z. Wang, Ying Yang, J. Zeng, K. S. Chen, “Surface Parameter Bias Disturbance in Radar Backscattering From Bare Soil Surfaces”, IEEE Transactions on Geoscience and Remote Sensing, 2024, DOI: 10.1109/TGRS.2024.3439520.

3.     Ying Yang, K. S. Chen, “Angular Patterns of Bistatic Scattering from Gamma-Distributed Rough Surfaces”, IEEE Transactions on Geoscience and Remote Sensing, 2024, DOI: 10.1109/TGRS.2024.3382122.

4.     M. Guo, K. S. Chen, Ying Yang* andX. Yin, “On the MCF Model for Predicting Radar Ocean Backscatter”, IEEE Transactions on Geoscience and Remote Sensing, 2024, DOI:10.1109/TGRS.2024.3370630.

5.     Ying Yang, andK. S. Chen, “Disturbing Variability in Microwave Emission from a Non-Gaussian Distributed and Correlated Multiscale Rough Surface”, Remote Sensing.,15(13), 3297, 2023, DOI: 10.3390/rs15133297.

6.     M. Guo, K. S. Chen, Ying Yang* andZ. Xu. “Effective Surface Roughness in Radar Ocean Backscattering”, IEEE Transactions on Geoscience and Remote Sensing, 2023, DOI: 10.1109/TGRS.2023.3306464.

7.     Ying Yang, K. S. Chen, R. Jiang, “Modeling and Analysis of Microwave Emission from Multiscale Soil Surfaces Using AIEM Model”, Remote Sensing., 14, 5899, 2022, DOI: 10.3390/rs14225899.

8.     X. Zhao, R. Jiang, K. S. Chen, Ying Yang, “A Physics-Based Neural Estimation of the Direction-of-Arrival Over Sea Surfaces”, IEEE Transactions on Geoscience and Remote Sensing, 2022. DOI: 10.1109/TGRS.2022.3223036.

9.     Ying Yang, K. S. Chen, S. Wang, “Bistatic Radar Scattering from Non-Gaussian Height Distributed Rough Surfaces”, Remote Sensing., 14, 18, 4457, 2022, DOI: 10.3390/rs14184457.

10.   Y. Wang, Z. He, Ying Yang, D. Ding, F. Ding, X. Dang, “Multi-Parameter Inversion of AIEM by Using Bi-Directional Deep Neural Network”, Remote Sensing., 14, 14, 3302, 2022, DOI: 10.3390/rs14143302.

11.   C.-Y. Chiang, K. S. Chen,Ying Yang, Y. Zhang, L. Wu, “Radar Imaging Statistics of Non-Gaussian Rough Surface: A Physics-Based Simulation Study”, Remote Sensing., 14, 2, 311,2022, DOI: 10.3390/rs14020311.

12.   C.-Y. Chiang, K. S. Chen,Ying Yang, S. Wang, “Computation of Backscattered Fields in Polarimetric SAR Imaging Simulation of Complex Targets”, IEEE Transactions on Geoscience and Remote Sensing, 2021, DOI:: 10.1109/TGRS.2021.3139669.

13.   Ying Yang, K. S. Chen, X. Zhao, “Modeling of Surface Roughness With an Anisotropic Power-Law Spectrum and Its Applications to Radar Backscattering From Soil Surfaces”, IEEE Transactions on Geoscience and Remote Sensing, 2021. DOI: 10.1109/TGRS.2021.3104745.

14.   Ying Yang, K. S. Chen, C. Ren, “Radar Scattering from a Modulated Rough Surface: Simulations and Applications”, IEEE Transactions on Geoscience and Remote Sensing, 59, 12, 2021, pp. 9842-9850. DOI: 10.1109/TGRS.2021.3049620.

15.   Ying Yang,K. S. Chen, X. F. Yang, Z. L. Li, J. Y. Zeng, “Depolarized Scattering of Rough Surface with Dielectric Inhomogeneity and Spatial Anisotropy”, IEEE Transactions on Geoscience and Remote Sensing, 59, 1, 2021, pp. 47-59, DOI:10.1109/TGRS.2020.2999543.

16.   C.-Y. Chiang, K. S. Chen, Ying Yang,Y. Zhang, T. Zhang, “SAR Image Simulation of Complex Target Including Multiple Scattering”, Remote Sensing., 13, 23, 4854,2021, DOI:10.3390/rs13234854.

17.   X. Zhao, Ying Yang, K. S. Chen, “Direction-of-Arrival Estimation over Sea Surface from Radar Scattering Based on Convolutional Neural Network”, Remote Sensing., 13, 14, 2681,2021, DOI: 10.3390/rs13142681.

18.   Ying Yang,Y. Liu., K. S. Chen, J. W. Li “L-band Depolarized Radar Backscattering from Martian Topographic Surface: A Numerical Study, ” IEEE IET Radar, Sonar & Navigation, 15, 4, 2021, pp. 340-347. DOI:10.1049/rsn2.12039.

19.   Y. Liu.,Ying Yang, K. S. Chen, “Martian Topographic Roughness Spectra and Its Influence on Bistatic Radar Scattering,” IEEE Geoscience and Remote Sensing Letters, 18, 11,2020, DOI:10.1109/LGRS.2020.3012427.

20.   Ying Yang, K. S. Chen, and Z. L. Li, “A Note on Brewster Effect for Lossy Inhomogeneous Rough Surfaces”, IEEE Transactions on Geoscience and Remote Sensing, 58, 9, 2020, pp. 6722-6730,DOI: 10.1109/TGRS.2020.2979073.

21.   Ying Yangand K. S. Chen, “Full-Polarization Bistatic Scattering from an Inhomogeneous Rough Surface,” IEEE Transactions on Geoscience and Remote Sensing, 57, 9, 2019, pp. 6434-6446, DOI:10.1109/TGRS.2019.2906079.

22.   Ying Yang and K. S. Chen, “Polarized Backscattering from Randomly Anisotropic Rough Surface,” IEEE Transactions on Geoscience and Remote Sensing, 57, 9, 2019,pp. 6608-6618, DOI: 10.1109/TGRS.2019.2907560.

23.   Ying Yang, K. S. Chen, G. F. Shang, “Surface Parameters Retrieval from Fully Bistatic Radar Scattering Data,” Remote Sensing., 11, 5, 596,2019, DOI: 10.3390/rs11050596.

24.   Ying Yang, K. S. Chen, L. Tsang, and L. Yu, “Depolarized Backscattering of Rough Surface by AIEM Model,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, 11, 2017, pp. 4740–4752, DOI: 10.1109/JSTARS.2017.2763631.

代表性专利：

1.一种基于子孔径雷达干涉的目标速度估测方法；发明专利，2024，中国，ZL202110437317.1. (2/3)

2.一种消除卫星干涉雷达地表形变方向模糊新方法；发明专利，2024，中国，ZL 202110436113.6.  (2/2)

3.一种基于数字型主动雷达校正器；发明专利，2024，ZL202110437317. (3/3)

主持的代表性科研项目：

1. 2024/06-2025/6, 事业单位委托科技项目，“SAR卫星内波振幅遥感反演精度验证数

据集”，39万，在研，主持；

2. 2023/09-2026/8, 江苏省自然科学基金面上项目（BK20231459），“全球海冰季节性变化的雷达散射机理研究”，10万，在研，主持；

3.  2023/01-2025/12, 国家自然科学青年基金项目(42201352)，“非高斯复杂随机粗糙面微波双站散射建模研究”，30万，在研，主持；                                    

4.  2020/11-2023/11, 省自然科学青年基金项目(2020JJB15002)，“基于双站雷达散射机制的近地表三维土壤含水量反演研究”，8万，结题，主持；   

5. 2019/11-2021/11,中国博士后科学基金面上资助项目(2019M663414)，“基于全极化微波双站散射理论的三维土壤含水量反演研究”，8万，结题，主持；