研究领域：
海洋要素智能预报、海洋数据同化
承担课程：
《海洋科学概论》、《物理海洋学》
科研成果
主持项目：
1.天津市气象科学研究所开放课题，2020TKLOMYB04，基于卫星遥感的渤海海-气耦合人工智能预报技术研究，2020.01-2022.12，4万元，结题，主持（司局级项目）
2. 中华人民共和国科学技术部，国家重点研发计划“海洋环境安全保障与岛礁可持续发展”重点专项子课题，2021YFC3101501，非线性混合海洋资料同化方法研究，2022.12-2025.11，345万元，在研，参与。
3.中华人民共和国科学技术部，国家重点研发计划“海洋环境安全保障与岛礁可持续发展”重点专项子课题，2022YFC3100002，全球多圈层耦合模式和无缝隙预报系统研制，2022.03-2025.12，240万元，在研，参与。
代表性论文：
1. Hu Song, Shao Qi*, Li Wei*, Han Guijun, Zheng Qingyu, Wang Ru, Liu Hanyu,2023: Prediction of sea surface multivariate in the Bohai Sea using data-driven model. Journal of Marine Science and Engineering, 11(11):2096, doi:10.3390/jmse11112096.
2. Shao Qi, Zhao Yanling, Li Wei*, Han Guijun*, Hou Guangchao, Li Chaoliang, Liu Siyuan, Gong Yantian, Liu Hanyu, Qu Ping,2022: A simple statistical intra-seasonal prediction model for sea surface variables utilizing satellite. Remote Sensing, 14(5):1162, doi:10.3390/rs14051162.
3. Shao Qi, Li Wei*, Han Guijun*, Hou Guangchao, Wu Xiaobo,2022: Mid-Term Simultaneous Spatiotemporal Prediction of Sea Surface Height Anomaly and Sea Surface Temperature Using Satellite Data in the South China Sea. IEEE Geoscience and Remote Sensing Letters, 19:1-5, doi:10.1109/LGRS.2020.3042179.
4. Zheng Qingyu, Li Wei, Shao Qi*, Han Guijun, Xuan Wang,2022: A mid and long-term Arctic Sea ice concentration prediction model based on deep learning technology. Remote Sensing, 14(12):2889, doi:10.3390/rs14122889.
5. Shao Qi, Hou Guangchao, Li Wei*, Han Guijun*, Liang Kangzhuang, Bai Yang,2021: Ocean reanalysis data-driven deep learning forecast for sea surface multivariate in the South China Sea. Earth and Space Science, 8(7):1558, doi:10.1029/2020EA001558.
6. Shao Qi, Li Wei*, Han Guijun*, Hou Guangchao, Liu Siyuan, Gong Yantian, Qu Ping,2021: A deep learning model for forecasting sea surface height anomalies and temperatures in the South China Sea. Journal of Geophysical Research: Oceans, 126(7):1558, doi:10.1029/2021JC017515.
7. Liu Siyuan, Shao Qi,Li Wei*, Liu Siyuan, Han Guijun*, Liang Kangzhuang, Gong Yantian, Liu Hanyu, Wang Ru, Hu Song, 2022: A New Scheme for Capturing Global Conditional Nonlinear Optimal Perturbation. Journal of Marine Science and Engineering, 10(3):340, doi:10.3390/jmse10030340.
8. Hou Guangchao, Shao Qi, Zou Bo, Dai Liwen, Zhang Zhe, Mu Zhehan, Zhang Yadong, Zhai Jingsheng, 2020: A Novel Underwater Simultaneous Localization and Mapping Online Algorithm Based on Neural Network, ISPRS Int. J.Geo-Inf., 10.3390/ijgi9010005.
9. Hou Guangchao, Zhai Jingsheng, Shao Qi,Zhao Yanling, Li Wei*, Han Guijun*, Liang Kangzhuang, 2023: Sound speed profiles in high spatiotemporal resolution using multigrid three-dimensional variational method: a coastal experiment off northern Shandong Peninsula. Journal of Oceanology and Limnology.
10. Han Guijun, Zhou Jianfeng, Shao Qi, Li Wei., 2022: Bias correction of sea surface temperature retrospective forecasts in the South China Sea. Acta Oceanologica Sinica, 10.1007/s13131-021-1880-5.
11. Liang Kangzhuang, Li Wei*, Han Guijun*, Shao Qi, Zhang Xuefeng, Zhang Liang,2020: An analytical four-dimensional ensemble-variational data assimilation scheme. Journal of Advances in Modeling Earth Systems, 13(1): e2020MS002314, doi:10.1029/2020MS002314.
12. Gong Yantian, Wu Xinrong, Liang Kangzhuang, Shao Qi,Li Wei*, Liu Siyuan, Han Guijun*, 2021: An application of the A-4DEnVar to coupled parameter optimization. Acta Oceanologica Sinica, 9(41):60-70, doi:10.1007/s13131-022-1997-1.
13. 邵祺，常帅，付晓梅，基于单水声信标距离量测的匹配定位方法，海洋通报，2018.
14. 白杨，李威，邵祺，基于经验正交函数和机器学习地南海海面高度异常预测，海洋通报，2020.
授权专利及软件著作权：
1. 邵祺，常帅，付晓梅，2022，一种基于单水声信标距离量测的水下定位方法。发明专利，授权公告号CN108614258B。
2. 邵祺，李威，2023，基于经验正交函数分解的海洋多要素中长期统计预测方法。发明专利，授权公告号CN110222872B。
3. 白杨，李威，邵祺，2023，一种基于再分析资料的海面高度中长期统计预测方法。发明专利，授权公告号CN110458338B。
4.邵祺，李威，2022，海洋温盐流中长期预测系统V1.0，原始取得，全部权利，2022-01-01（软件著作权）
学术兼职：
《IEEE Geoscience and Remote Sensing》、《SN Applied Sciences》及《PeerJ》杂志审稿人