陈榕，女，汉族，山东临沂人，1995年生，博士。2024年毕业于江南大学物联网技术与工程专业，获工学博士学位，主要从事高光谱图像分类、模式识别、深度学习、人工智能等方向的研究。2022.09-2024.05在意大利环境分析方法研究所（National Research Council, Institute of Methodologies for Environmental Analysis，CNR-IMAA）做联合培养博士。以第一作者在国内外期刊发表学术论文数篇。

高光谱图像分类、模式识别、深度学习、人工智能等

人工智能、数字电子技术基础、信息技术应用等

[1] R. Chen, G. Vivone, G. Li, C. Dai and J. Chanussot, An Offset Graph U-Net for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 1-15, Art no. 5520615.

[2] R. Chen, L. Guanghui and C. Dai, Feature Fusion via Deep Residual Graph Convolutional Network for Hyperspectral Image Classification[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19, 1-5, Art no. 6011805.

[3] R. Chen, G. Li and C. Dai, DRGCN: Dual Residual Graph Convolutional Network for Hyperspectral Image Classification[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19, 1-5, Art no. 6009205.

[4] R. Chen and G. Li, Spectral-spatial feature fusion via dual-stream deep architecture for hyperspectral image classification[J]. Infrared Physics and Technology, 2021, 119, 103935.

[5] R. Chen, G. Vivone, G. Li, C. Dai and J. Chanussot, Multi-scale feature learning via residual dynamic graph convolutional network for hyperspectral image classification[J]. International Journal of Remote Sensing, 2024, 45, 863–888..

[6] R. Chen, G. Li and C. Dai, Spectral-spatial dynamic graph convolutional network for hyperspectral image classification. Earth Science Informatics[J]. 2023, 16, 3679–3695.

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