教育经历 2006-2010, 清华大学，本科，航天航空与工程力学 2010-2013, 清华大学，硕士，航天航空与工程力学 2014-2017, 哈尔滨工业大学，博士，数学 2014-2016, 加州大学洛杉矶分校，访问学生，数学 工作经历 2021.12 - 至今， 哈尔滨工业大学，青年拔尖正教授 2019.12 - 2021.12，哈尔滨工业大学，青年拔尖副教授 2017.05 - 2019.12，哈尔滨工业大学，讲师 获奖 2019年10月，马坚伟，于四伟，压缩感知地震波勘探， 黑龙江省科学技术奖一等奖（自然科学类），黑龙江省人民政府 2022年8月，人工智能地震勘探数据处理、反演与解释的关键技术，中国地球物理学会科学技术奖二等奖，中国地球物理学会（排名4/7）

优化算法，信号处理，地震数据处理，压缩感知，深度学习

编委： IEEE Geoscience and Remote Sensing Letters，副主编 (Associate editor) 《煤田地质与勘探》，青年编委 审稿人： Geophysics Computers and Geosciences IEEE Trans. on Geoscience and Remote Sensing Geoscience and Remote Sensing Letters International Journal of Geo-Information Digital Signal Processing 学术组织： 中国地球物理学会智能地球物理专业委员会首届委员

Salman Abbasi, Vikram Jayaram, Jubran Akram, Md Iftekhar Alam, Siwei Yu, Using geometric mode decomposition for the background noise suppression on microseismic data, Geophysical Prospecting, 2023, accpeted. Abbasi, Salman; Yu, Siwei; Akram, Jubran; Alam, Md; Sarosh, Bakhtawer, An adaptive linear mode decomposition for effective separation of linear and non-linear seismic events, ground roll and random noise, Geophysics, 2023, accepted. X. Zhang, J. Ma, S. Yu, Non-convex tensor completion for five-dimensional seismic data reconstruction, IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 5904712 S. Yu*, J. Ma, Simultaneous off-the-grid regularization and reconstruction for 3D seismic data by a new combined sampling operator, Geophysics, 2023, 88(4): D241-V302. Y. Chen, S. Yu*, J. Ma, A POCS-Net for 3D seismic data interpolation, Geophysics, 2023, 88(3): 1MJ-V289. X. Wang and S. Yu*, Seismic Data Regularization on Nonequispaced Grid via a Joint Sparsity-Promotion Method, IEEE Geoscience and Remote Sensing Letters, 2022, 19, 1-5. S. Yu, J. Ma*, Deep learning for geophysics: current and future trends, Reviews of Geophysics, 2021, 59 (3), e2021RG000742. 于四伟，杨午阳，李海山，王晓静，马坚伟，基于深度学习的地震散射面波智能压制方法，科学通报，2021, 66 (18), 2343-2354 Jie Zhang, Huiyu Zhu, Siwei Yu, Jianwei Ma; Constructing the Seismograms of Future Earthquakes in Yunnan, China, Using Compressed Sensing. Seismological Research Letters 2021; 92 (1): 261–274. doi: https://doi.org/10.1785/0220190382 S. Yu, J. Ma*, Off-the-grid vertical seismic profile data regularization by a compressive sensing method, Geophysics, 2020, 85(2): V157-V168. T. P. Banjade, S. Yu*, J. Ma. Earthquake accelerogram denoising by wavelet-based variational mode decomposition[J]. Journal of Seismology, 2019(5):649-663. S. Yu, J. Ma*, W. Wang, Deep learning for denoising, Geophysics, 2019, 84 (6), V333–V350. Y. Jia, S. Yu, J. Ma*, Intelligent interpolation by Monte Carlo machine learning. Geophysics, 2018, 83 (2), V83-V97. S. Yu, J. Ma*, S. Osher, Geometric mode decomposition. Inverse Problems & Imaging, 2018, 12(4), 831-852. S. Yu, J. Ma*, Complex variational model decomposition for slop-preserving denoising, IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(1), 586 - 597. J. Ma*, S. Yu, Sparsity in compressive sensing, The Leading Edge, 2017, 36 (8), 308-314. (an invited short review). S. Yu, S. Osher, J. Ma*, Z. Shi, Noise attenuation in a low dimensional manifold, Geophysics, 2017, 82 (5), V321-V334. Y. Jia, S. Yu, L. Liu, J. Ma*, A fast rank-reduction algorithm for three-dimensional seismic data interpolation, Journal of Applied Geophysics, 2016, 132, 137-145. S. Yu, J. Ma*, S. Osher, Monte Carlo data-driven tight frame for seismic data recovery, Geophysics, 2016, 81 (4), V327-V340. S. Yu, J. Ma*, X. Zhang, M. Sacchi, Interpolation and denoising of high-dimensional seismic data by learning a tight frame, Geophysics, 2015, 80 (5), V119-V132. S. Yu, A. S. Khwaja, J. Ma*. Compressed sensing of complex-valued data, Signal Processing, 2012, 92 (2), 357-362. 马坚伟, 徐杰, 鲍跃全, & 于四伟. (2012). 压缩感知及其应用:从稀疏约束到低秩约束优化. 信号处理, 28(5), 15. 孔丽云, 于四伟, 程琳, & 杨慧珠. (2012). 压缩感知技术在地震数据重建中的应用. 地震学报, 34(5), 659-666