李宏伟， 教授， 博士生导师。 2002年3月毕业于中科院软件研究所，获工学博士学位。2002年3月-2005年1月，就职于中科院软件所并行计算中心，研究偏微分方程大规模数值并行计算。2013年2月-2013年7月，美国密苏里大学，访问学者。2005年2月-2008年4月，挪威卑尔根大学集成石油研究中心，博士后，从事油藏模拟反问题计算及图像处理。2009年10月-2009年12月，新加坡南洋理工大学，访问学者。2008年至今，就职于首都师范大学数学科学学院，主要研究CT重建及相关图像处理问题。他的研究以实际应用为导向，申请了5项国家发明专利，所研制的图像处理算法和软件已被著名CT厂商采用。目前主持国家自然科学基金面上项目1项，作为核心成员参与2项。此外，李宏伟的研究工作还得到了北京高等学校检测成像工程中心以及北京成像理论与技术高精尖创新中心的资助。

1. Genwei Ma, Yinghui Zhang, Xing Zhao, Tong Wang and Hongwei Li, A neural network with encoded visible edge prior for limited-angle computed tomography reconstruction, Medical Physics, DOI: 10.1002/mp.15205, 2021.
2. You‐wei Wen, Mingchao Zhao, Michael Ng, Hongwei Li, A Nonlocal Low Rank Model for Poisson Noise Removal, Inverse Problems & Imaging, Vol.15, No,3, 2021.
3. Xiaojuan Deng, Xing Zhao, Mengfei Li, Hongwei Li, Limited‐angle CT reconstruction with generalized shrinkage operators as regularizers, Inverse Problems & Imaging, doi: 10.3934/ipi.2021019, 2021.
4. Yinghui Zhang, Xiaojuan Deng, Xing Zhao, Hongwei Li, Restricted Linearized Augmented Lagrangian Method for Euler’s Elastica Model, East Asian Journal on Applied Mathematics, Vol.11, No.2, pp.276‐300, 2021.
5. Weilin Cheng, Yu Wang, Hongwei Li, Yuping Duan, Learned Full‐sampling Reconstruction from Incomplete Data, IEEE Transactions on Computational Imaging, vol. 6, pp. 945‐957,2020. DOI: 10.1109/TCI.2020.2996751, 2020.
6. Huan Yang, Hongwei Li, Yuping Duan, Adaptive trainable non‐linear reaction diffusion for Rician noise removal, IET Image Processing, Vol.14, No.14, pp. 3547‐3561, 2020.
7. Xiaojuan Deng, Yunsong Zhao, Hongwei Li, Projection data smoothing through noise‐level weighted total variation regularization for low‐dose computed tomography, Journal of X‐Ray Science and Technology, Vol. 27, No.3, pages 537‐557, 2019.
8. Jinqiu Xu, Yunsong Zhao, Hongwei Li, Peng Zhang, An Image Reconstruction Model Regularized by Edge‐preserving Diffusion and Smoothing for Limited‐angle Computed Tomography, Inverse Problems, Vol. 35, No. 8, pages 085004, 2019. DOI:10.1088/1361‐6420/ab08f9
9. Mengfei Li, Hong Gao, Feifei Zuo, Hongwei Li, A Continuous Random Walk Model With Explicit Coherence Regularization for Image Segmentation, IEEE Transactions on Image Processing, Vol. 28, No. 4, pages 1759‐ 1772, 2019.
10. Yunsong Zhao, Jinqiu Xu, Hongwei Li, Peng Zhang, Edge Information Diffusion‐Based Reconstruction for Cone Beam Computed Laminography, IEEE Transactions on Image Processing, Vol.27, No.9, 2018.
11. Xiaojuan Deng, Feifei Zuo, Hongwei Li, Cracks Detection Using Iterative Phase Congruency, Journal of Mathematical Imaging and Vision, Vol. 60, No.7, Pages 1065‐1080, 2018.
12. Defeng chen, Hongwei Li, Qiang Wang, Peng Zhang and Yining Zhu, Computed tomography for high‐speed rotation object, Optics Express, Vol.23, No.10, 2015.
13. Qian Wang, YiningZhu and Hongwei Li, Imaging model for the scintillator and its application to digital radiography image enhancement, Optics Express, Vol 23, No.26, 2015.
14. Yining Zhu, Mengliu Zhao, Hongwei Li and Peng Zhang, Micro‐CT argifacts reduction based on detector random shifting and fast data inpainting, Med. Phys, Vol.40, No.3, 2013
15. Yining Zhu, Defeng chen, Yunsong Zhao, Hongwei Li and Peng Zhang, An approach to increase the resolution of industrial CT image based on the aperture collimator, Optics Express, Vol.21, No.23, 2013
16. Yining Zhu, Mengliu Zhao, Yunsong Zhao, Hongwei Li and Peng Zhang, Noise reduction with low dose CT data based on a modified ROF model, Optics Express, Vol.20, No.16, Pages:17987‐18004, 2012.
17. Mengliu Zhao and Hongwei Li, Image denoising based on Poisson‐like noise model, Chinese Journal of Stereology and Image Analysis, Vol.17, No.1, 2012.
18. Lars Kristian Nielsen, Hongwei Li, Xue‐Cheng Tai, Sigurd Ivar Aanonsen and Magne Espedal, “Reservoir description using a binary level set model”, Comput. Visual Sci, Vol.13, No.1, 2010.
19. Zhou Liu, Hongwei Li, Narrow band level set method, Computer Engineering and Design, Vol.30, No.14, 2009. (In Chinese)
20. Hongwei Li, Xue‐Cheng Tai and Sigurd Ivar Aanonsen, “Reservoir description By Using a Piecewise Constant Level Set Method”, J. of Comput. Math., Vol. 26, Issue 3, Pages:365‐377, May, 2008.
21. Tony F. Chan, Hongwei Li, Marius Lysaker and Xue‐Cheng Tai, Level Set Method for Positron Emission Tomography, International Journal of Biomedical Imaging Volume 2007 (2007).
22. Xue‐Cheng Tai and Hongwei Li, A Piecewise Constant Level Set Method for Elliptic Inverse Problems, Applied Numerical Mathematics 57(2007), 686‐696.
23. Hongwei Li and Xue‐Cheng Tai, Piecewise constant level set methods for multiphase motion. International J. Numer. Anal. Modelling, vol. 4, no. 2. pp. 293, 2007.
24. Hongwei Li and Xue‐Cheng Tai, “Piecewise Constant Level Set Method for Interface Problems”, International Series of Numerical Mathematics, Vol. 154, 307‐316. In " Free boundary problems: theory and applications", I. Figueiredi, J. Rodrigues and L. Santos eds, Birkhauser, 2006.
25. Hongwei Li and Jiachang Sun, “Robin transmission conditions for overlapping additive Schwarz method applied to linear elliptic problems”, Int. J. Numer. Anal. Modelling, Vol.2, 2005.
26. Hongwei Li, “Additive Schwarz Methods for Distributed Memory Machines”, Numerical computation and computer application, Vol.1, 2004.
27. Hongwei Li, Optimal Robin parameters for elliptic equations, Numerical computation and computer application, Vol.1, 2003.
28. Hongwei Li, “Overlapping Additive Schwarz Methods for Distributed Memory Machines”, ICPACE2003, HongKong, Oct. 2003.
29. Hongwei Li, “A New Two Level Additive Schwarz Method”, In the Proceeding of Workshop on Scientific Computation and Software of the Fourth International Conference On High Performance Computing In Asia‐ Pacific Region (IEEE Computer Society), pp.1010‐1012, Beijing, May 14‐17, 2000.
30. Mengzhao Qin and Hongwei Li, “Volume Preserving RK Methods for Linear Systems”, ACTA MATHEMATICAE APPLICATAE SINACA”, Vol. 16 No.4. 2000.
31. Hongwei Li and Mengzhao Qin, On the formal energy of symplectic RK methods, Journal of Computational Mathematics, Vol.22(4), 2000.
32. Hongwei Li, The Optimal parameters for Robin Transmission Conditions, Proceedings of the sixth Conference on Parallel computing, page:73－76, 2000. (In Chinese)

2019 秋 数值分析 本科生基础课
2019 春 微分方程数值解 研究生基础课
2018 秋 数值分析 本科生基础课
2018 春 微分方程数值解 研究生基础课
2017 秋 数值分析 本科生基础课
2017 春 微分方程数值解 研究生基础课
2016 秋 数值分析 本科生基础课
2016 春 微分方程数值解 研究生基础课
2015春 微分方程数值解 本科生基础课
2015春 高等数值分析 研究生基础课
2014 秋 计算方法 本科生基础课
2014 春 计算机图像处理 研究生基础课
2014 春 偏微分方程与图像分析 研究生方向课
2013 秋 计算方法 本科生基础课
2013 秋 高等数学C 本科生基础课

2020.01.01-2023.12.01，CT有限角重建非凸优化模型与相容算法研究，国家自然科学基金面上项目（主持）
2019.01.01-2022.12.31，X射线显微三维分层成像的关键理论和技术研究，国家自然科学基金面上项目 （参加）
2021.08-2025.08，面向医学领域影像数据标准化标注的数学理论与方法研究，北京市自然科学基金重点研究专题项目（参加）

本领域重要国内/国际学术会议经历
2018年6月，University of Bologna，参加国际会议“International Conference on Imaging Sciences”，报告题目为“Limited-angle reconstruction”.
2018年10月，南开大学，参加会议“Image Processing: Mathematical theory, methods & applications”，报告题目为“不完整数据重建”.
2019年1月，清华三亚国际数学论坛,三亚，参加国际会议“Efficient Operator Splitting Techniques for Complex System and Large Scale Data Analysis”，报告题目为“有限角重建非凸优化模型与算法”
2019年5月，Salt Lake City, Utah，美国，参加国际会议“5th International Conference on Image Formation in X-Ray Computed Tomography”，报告题目为“Edge information diffusion based reconstruction (EIDR) for cone beam computed tomography”.
2019年6月，Philadelphia，美国，参加国际会议“15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine”，报告题目为“Fast ordered subset Chambolle-Pock algorithm for CT reconstruction”.
2019年8月，西安，参加国际会议“The 3rd International Symposium on Image Computing and Digital Medicine”，报告题目为“A continuous Random Walk model with coherence regularization for image segmentation”.
2020年1月，清华三亚国际数学论坛，参加国际会议“Workshop on Efficient Algorithms in Data Science, Learning, and Computational Physics”，报告题目为“Restricted Linearized Augmented Lagrangian Method for Euler’s Elastica Model”.

2013，数学科学学院数学与信息技术教研室，师德先进集体
2018，CT成像关键技术创新及其应用，国家教育部科技进步二等奖
2019，首都师范大学第三届“师者如兰”突出贡献师门

Hongwei Li received the Ph.D. degree in the field of parallel computing from the institute of Software, Chinese Academy of Sciences, in 2002. From 2002 to 2005, he was with the Institute of Software as an Assistant Professor. In 2005, he joined the Center for Integrated Petroleum Research, University of Bergen, Norway, as a Post-Doctoral Researcher for image processing and inverse problem computing. Since 2008, he has been with the Department of Mathematics, Capital Normal University, Beijing, as an Associate Professor and then full Professor. His research is highly application oriented. Algorithms and methods for image enhancement, segmentation, and artifacts reduction developed by him have been utilized by CT equipment manufactures for improving image qualities. He is also deeply involved with the CT reconstruction community, and part of his research interest has been directed to develop reconstruction algorithms for dealing with challenging CT applications, such as low-dose CT and limited-angle CT. Currently, his research is supported by the projects from Natural National Science Foundation of China (NSFC) with granted numbers 61971292 (PI), 61901127 (Co-PI) and 61871275 (Co-PI), and he is also grateful to Beijing Higher Institution Engineering Research Center of Testing and Imaging as well as Beijing Advanced Innovation Center for Imaging Theory and Technology for funding his research work.