朱溢佞，数学与信息技术专业/计算数学专业，副教授，硕士生导师。主要从事CT成像理论与系统研发、图像处理等方面的工作。朱溢佞在国际会议与期刊发表学术论文近30篇，包括《SIAM Journal on Imaging Science》、《Optics Express》、《Physics in Medicine & Biology》以及《Medical Physics》等数学、光学和CT领域的著名期刊。朱溢佞主要研究显微CT前沿理论和关键技术，并在此基础上研发高性能的显微三维CT成像设备，并在国防、石油、材料等高新技术行业进行了重点应用和CT设备产业化推广。获2017年教育部科技进步二等奖（第2完成人），2020年度中国体视学学会青年科学技术奖。

​1．Ma, G., Zhao, X.*, Zhu, Y.*, & Zhang, H. (2022). Projection-to-image transform frame: a lightweight block reconstruction network for computed tomography. Physics in Medicine & Biology, 67(3), 035010.
2．Dong, Y., Xu, F., Liu, L., Du, X., Ren, B., Guo, A., ... & Zhu, Y*. (2020). Automatic System for Crop Pest and Disease Dynamic Monitoring and Early Forecasting. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 4410-4418.
3．Zhu, Y., Wang, Q., Li, M., Jiang, M., & Zhang, P. (2019). Image reconstruction by Mumford-Shah regularization for low-dose CT with multi-GPU acceleration. Physics in Medicine & Biology.
4．Chen, S., Deng, S. W., Shih, C., Zhang, W. W., Zhang, P., Ren, D., Zhu, Y. N.*, Gao, T. P.* (2018). “The earliest Timematids in Burmese amber reveal diverse tarsal pads of stick insects in the mid‐Cretaceous,” Insect Science.
5．Wang, Qian, Yining Zhu*. " Multi-Domain Regularization Based Computed Tomography for High-Speed Rotation Objects," SIAM Journal on Imaging Sciences 10.2 (2017): 602-640.
6．Wang, Q., Zhu, Y.*, & Yu, H*. (2017). Locally linear constraint based optimization model for material decomposition. Physics in Medicine & Biology, 62(21), 8314.
7．Wang, Qian, Yining Zhu*, and Hongwei Li. "Imaging model for the scintillator and its application to digital radiography image enhancement." Optics Express 23.26 (2015): 33753-33776.
8．Defeng Chen, Hongwei Li, Qian Wang, Peng Zhang, and Yining Zhu*, (2015). Computed tomography for high-speed rotation object. Optics Express, 23(10), 13423-13442.
9．Yining Zhu, Defeng Chen, Yunsong Zhao, Hongwei Li, and Peng Zhang, "An approach to increasing the resolution of industrial CT images based on an aperture collimator," Optics Express, 2013, 21 (23), 27946-27963. (SCI, JCR一区)
10．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, 2012, 20(16), 17987-18004.
11．Yining Zhu，Mengliu Zhao，Hongwei Li and Peng Zhang, “Micro-CT Artifacts Reduction Based on Detector Random Shifting and Fast Data Inpainting,” Medical Physics, 40, 031114 (2013).
12．Yining Zhu, Yunsong Zhao and Xing Zhao, “Multi-thread scheduling method for 3D CT image reconstruction using multi-GPU,” Journal of X-Ray Science and Technology, 2012, 20(2), 187-197.

2022年春季, 并行计算方法, 研究生基础课
2021年秋季, 数字图像处理, 研究生基础课
2021年春季, 并行计算方法, 研究生方向课
2020年春季, 数字图像处理, 研究生基础课,
2019年春季, 数字图像处理, 研究生基础课,
2020年春季, 高等数学C2, 本科生课程(必修)
2019年秋季, 高等数学 C1, 本科生课程(必修)

1. 基于光耦合探测器和光子计数探测器的能谱显微CT关键理论与技术研究，61971293，国家自然科学基金面上项目，2020/01-2023/12，主持。
2. 反问题的理论、方法和实现，M-0187， 国家自然科学基金中德科学中心中德合作与交流项目， 2021/01-2023/12，参加(课题负责人)。
3. 医学成像中的关键数学问题及其产业应用，国家重点研发计划，2021/01-2025/12，参加。
4. 临床前骨骼专用三维高分辨定量能谱CT的研制与应用，61827809，国家重大科研仪器研制项目，2019/01-2023/12，参加。
5. 光耦合显微CT系统优化理论与技术研究，61501310，国家自然科学基金，青年基金，2016/01-2018/12, 主持。
6. 基于OCD显微CT的成像理论与系统优化研究，北京市教委科研计划一般项目，2017/01-2019/12, 主持。
7. X射线三维显微成像检测系统研制与应用开发，2011YQ030112，科技部，国家重大科学仪器设备开发专项，2011/06-2015/12，参加。
8. X射线双能谱显微CT研究与开发，61127003，国家自然科学基金委，科学仪器专项项目，2012/01-2015/12，参加。

2017年， 教育部，科技进步二等奖（第二完成人）
2020年，中国体视学学会(国家一级学会)， 青年科学技术奖

Yining Zhu is an associate professor in Mathematics and Information Technology/Computational Mathematics, and a master's student advisor. He is mainly engaged in CT imaging theory and system development and image processing. He has published nearly 30 academic papers in international conferences and journals, including SIAM Journal on Imaging Science, Optics Express, Physics Medicine & Biology, and Medical Physics. Yining Zhu mainly researches the frontier theory and key technology of x-ray micro-CT, and based on this, he develops high performance microscopic 3D CT imaging devices, and has made key applications and industrialized promotion of CT devices in high-tech industries such as national defense, petroleum, and materials. He received the Second Prize of Science and Technology Progress of the Ministry of Education in 2017 (2nd finisher) and the Young Science and Technology Award of the Chinese Society of Somatology in 2020.