姚远，中国科学院大学博士（博士后），成都大学副教授，硕士生导师。主要从事人工智能遥感应用研究。长期围绕多源卫星协同、遥感时空融合、机器学习与高时空分辨率遥感数据重构开展科研工作。主持完成四川省自然科学基金青年基金项目。在LST时空融合领域以第一作者或通讯作者发表SCI论文10余篇，授权国家发明专利4项，并形成多项软件著作权成果。
Yao Yuan received his Ph.D. from the University of Chinese Academy of Sciences and has completed postdoctoral research. He is currently an Associate Professor at Chengdu University. His research primarily focuses on the application of artificial intelligence in remote sensing, with long-term interests in multi-source satellite synergy, spatiotemporal fusion of remote sensing data, machine learning, and the reconstruction of remote sensing datasets with high spatial and temporal resolution. He has served as the principal investigator of a Young Scientists Fund project supported by the Natural Science Foundation of Sichuan Province. In the field of land surface temperature (LST) spatiotemporal fusion, he has published more than 10 SCI-indexed papers as first or corresponding author, been granted four national invention patents, and obtained multiple software copyrights.
一审：牟磊
二审：于曦
三审：刘亚玲
