张道平职称: 直属机构: 数学科学学院 学科: 学位: 博士 毕业院校: 英国利物浦大学 邮件: daopingzhang@nankai.edu.cn 办公地点: 数学科学学院414 电话: 出生年月: |
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教育经历2015.10-2019.9 英国利物浦大学 博士 导师:Prof. Ke Chen 2008.9-2012.6 大连理工大学 学士 工作经历2023.09-至今 南开大学 数学科学学院 讲师,硕士研究生导师 2021.10-2023.09 南开大学 数学科学学院 讲师 2019.10-2021.10 香港中文大学 数学系 博士后 导师:Prof. Ronald Lok Ming Lui 个人简介张道平, 南开大学数学科学学院讲师, 分别于2012年和2019年在大连理工大学和英国利物浦大学获得学士和博士学位。曾在香港中文大学从事博士后研究工作。2021年加入南开大学数学科学学院。研究兴趣包括图像处理及其优化算法。近年来在国际图像科学及计算数学知名杂志比如SIAM Journal on Imaging Sciences, Multiscale Modeling and Simulation, Journal of Mathematical Imaging and Vision, Numerical Algorithms, Journal of Scientific Computing, Applied Mathematical Modelling等上发表多篇学术论文。 研究领域变分法处理图像问题和优化方法 教学工作本科生课程 2024秋季学期:高等数学(A类) I 2023秋季学期:高等数学(A类) I 2023春季学期:高等代数与解析几何习题课 2022秋季学期:高等代数与解析几何习题课 2022春季学期:高等代数与解析几何习题课 2020暑假学期:Linear Algebra 本科生讨论班 2023春季学期:计算数学选讲( 丘赛辅导) 2022秋季学期:机器学习与偏微分方程 指导硕士研究生 2024级:邓志成,耿骁,刘婕 2023级:郭文佳,宋林川 指导本科生: 2020级:苏园茗,汪卓凡,张琦 2019级:郑子奇 科研项目主持科研项目: 国家自然科学基金青年项目:基于模版匹配的目标先验约束图像分割变分模型及算法研究,2023.1-2025.12 中央高校基本科研业务费:基于形状先验的保拓扑分割方法,2022.1-2023.12 参与科研项目: 国家自然科学基金面上项目:确定性机理与深度学习融合的图像配准若干典型问题研究,2025.1-2028.12 国家自然科学基金面上项目:两类PDE约束优化问题的数值法,2016.1-2019.12 国家自然科学基金青年项目:大型稀疏非对称线性方程组的归纳降维算法研究,2016.1-2018.12 国家自然科学基金青年项目:基于实代数几何的多项式优化方法研究,2015.1-2017.12 论文专著已提交论文: 3. Daoping Zhang, Lok Ming Lui, and Xue-Cheng Tai, A Registration-Based Star-Shape Segmentation Model and Fast Algorithms. 2. Mauricio S. Louzerio, Gilson N. Silva, Jinyun Yuan, and Daoping Zhang. Inexact Newton Methods for Solving Generalized Equations on Riemannian Manifolds. 1. Mauricio S. Louzerio, Gilson N. Silva, Jinyun Yuan, and Daoping Zhang. An Adaptive Cubic Regularization Quasi-Newton Method on Riemannian Manifolds. 期刊论文: 10. Han Zhang, Daoping Zhang, and Lok Ming Lui. QIS: Interactive Segmentation vis Quasi-Conformal Mappings, accepted by SIAM Journal on Imaging Sciences. 9. Chunlin Wu, Haibin Su, and Daoping Zhang. On Variational Image Denosing: A Total Scaled-Gradient Variation Regularization Framework and An Accelerated Operator-Splitting Solver, Communications in Mathmatical Sciences, 2025, 23(2), 329-358. 8. Peng Chen, Ke Chen, Huan Han, and Daoping Zhang. Multiscale Approach for Variational Problem Joint Diffeomorphic Image Registration and Intensity Correction: Theory and Application, Multiscale Modelling & Simulation, 2024, 22(3), 1097-1135. 7. Daoping Zhang, Gary P. T. Choi, Jianping Zhang, and Lok Ming Lui. A Unifying Framework for N-Dimensional Quasi-Conformal Mappings, SIAM Journal on Imaging Sciences, 2022, 15(2): 960-998. 6. Daoping Zhang, Xue-Cheng Tai, and Lok Ming Lui. Topology- and Convexity-Preserving Image Segmentation Based On Image Registration, Applied Mathematical Modelling, 2021, 100: 218-239. 5. Daoping Zhang and Lok Ming Lui. Topology-Preserving 3D Image Segmentation Based On Hyperelastic Regularization, Journal of Scientific Computing, 2021, 87(3): 1-33. 4. Daoping Zhang and Ke Chen. 3D Orientation-Preserving Variational Models for Accurate Image Registration, SIAM Journal on Imaging Sciences, 2020, 13(3): 1653–1691. 3. Daoping Zhang, Anis Theljani, and Ke Chen. On A New Diffeomorphic Multi-Modality Image Registration Model and Its Convergent Gauss-Newton Solver, Journal of Mathematical Research with Applications, 2019, 39(6): 633-656. 2. Ke Chen, Geovani Nunes Grapiglia, Jinyun Yuan, and Daoping Zhang. Improved Optimization Methods for Image Registration Problems, Numerical Algorithms, 2019, 80(2): 305-336. 1. Daoping Zhang and Ke Chen. A Novel Diffeomorphic Model for Image Registration and Its Algorithm, Journal of Mathematical Imaging and Vision, 2018, 60(8): 1261-1283. 专著章节: 1. Daoping Zhang, Anis Theljani, and Ke Chen. Multi-Modality Image Registration Models and Efficient Algorithms. Mathematical Methods in Image Processing and Inverse Problems, 33–60, Springer Proc. Math. Stat., 360, Springer, Singapore, 2021. 学术交流学术报告: 2023年中国数学会学术年会,Title:Registration-Based Image Segmentation with Shape Priors 2023 HKSIAM Biennial Conference, Title: A Unifying Framework for N-Dimensional Quasi-Conformal Mappings 2022年医学影像中的人工智能方法与数学理论专题讲习班(图像处理与人工智能国际会议),题目:A Unifying Framework for N-Dimensional Quasi-Conformal Mappings 中国工业与应用数学学会第二十届年会(CSIAM 2022),题目:A Unifying Framework for N-Dimensional Quasi-Conformal Mappings 2022 SIAM Conference on Imaging Science (IS22),Title:Registration-Based Segmentation Methods with Shape Priors 参与审稿: Journal of Optimization Theory and Applications Journal of Mathematical Imaging and Vision Computational and Applied Mathematics Applied Mathematical Modelling Computers and Mathematics with Applications Aata Mathematica Scientia Scientific Reports 荣誉奖励2024师德考核优秀 2024美赛建模M奖指导教师 学术成果 |