Zhangdaoping

October 2015 - September 2019: University of Liverpool, United Kingdom, Ph.D., Supervisor: Prof. Ke Chen

September 2008 - June 2012: Dalian University of Technology, Bachelor's Degree

September 2023 - Present: Nankai University, School of Mathematical Sciences, Lecturer and Master's Supervisor

October 2021 - September 2023: Nankai University, School of Mathematical Sciences, Lecturer

October 2019 - October 2021: The Chinese University of Hong Kong, Department of Mathematics, Postdoctoral Researcher, Supervisor: Prof. Ronald Lok Ming Lui

Zhang Daoping is a lecturer at the School of Mathematical Sciences, Nankai University. He earned his Bachelor's degree from Dalian University of Technology in 2012 and his Ph.D. from the University of Liverpool, UK, in 2019. He has conducted postdoctoral research at The Chinese University of Hong Kong. In 2021, he joined the School of Mathematical Sciences at Nankai University. His research interests include image processing and its optimization algorithms. In recent years, he has published multiple academic papers in internationally renowned journals in imaging science and computational mathematics, such as SIAM Journal on Imaging Sciences, Multiscale Modeling and Simulation, Journal of Mathematical Imaging and Vision, Numerical Algorithms, Journal of Scientific Computing, and Applied Mathematical Modelling.

Variational Methods for Image Processing and Optimization Algorithm Design

Undergraduate Courses

• Fall 2024: Advanced Mathematics (Category A) I

• Fall 2023: Advanced Mathematics (Category A) I

• Spring 2023: Exercises in Advanced Algebra and Analytic Geometry

• Fall 2022: Exercises in Advanced Algebra and Analytic Geometry

• Spring 2022: Exercises in Advanced Algebra and Analytic Geometry

• Summer 2020: Linear Algebra

Undergraduate Seminars

• Spring 2023: Selected Topics in Computational Mathematics (Yau Competition Tutoring)

• Fall 2022: Machine Learning and Partial Differential Equations

Supervision of Master's Students

• Class of 2027: Deng Zhicheng, Geng Xiao, Liu Jie

• Class of 2026: Guo Wenjia, Song Linchuan

Supervision of Undergraduate Students

• Class of 2025: Che Baojun

• Class of 2024: Su Yuanming, Wang Zhuofan, Zhang Qi

• Class of 2013: Zheng Ziqi

Principal Investigator of Research Projects:

• National Natural Science Foundation of China (Youth Program): Variational Models and Algorithms for Image Segmentation with Template Matching-Based Target Prior Constraints, January 2023 - December 2025.

• Fundamental Research Funds for the Central Universities: Topology-Preserving Segmentation Methods Based on Shape Priors, January 2022 - December 2023.

Participant in Research Projects:

• National Natural Science Foundation of China (General Program): Research on Several Typical Problems of Image Registration Combining Deterministic Mechanisms and Deep Learning, January 2025 - December 2028.

• National Natural Science Foundation of China (General Program): Numerical Methods for Two Types of PDE-Constrained Optimization Problems, January 2016 - December 2019.

• National Natural Science Foundation of China (Youth Program): Research on Inductive Dimension Reduction Algorithms for Large-Scale Sparse Asymmetric Linear Systems, January 2016 - December 2018.

• National Natural Science Foundation of China (Youth Program): Research on Polynomial Optimization Methods Based on Real Algebraic Geometry, January 2015 - December 2017.

Preprint：

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.

Journal Paper：

10. Han Zhang, Daoping Zhang, and Lok Ming Lui. QIS: Interactive Segmentation vis Quasi-Conformal Mappings, SIAM Journal on Imaging Sciences, 2025,18(1):494-525.

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.Matlab Code.zip

Book Chapter：

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.

2024 Mathematical Contest in Modeling (MCM): Advisor for the Meritorious Winner (M Award).