刁怀安，吉林大学数学学院教授，博士毕业于香港城市大学，研究兴趣为数值代数、随机化算法、偏微分算子谱理论、波散射问题，在Journal de Mathématiques Pures et Appliquées（JMPA）、Calculus of Variations and Partial Differential Equations（CVPDE）、Communications in Partial Differential Equations（CPDE）、Mathematics of Computation、SIAM Journal on Applied Mathematics、SIAM Journal on Mathematics Analysis、Inverse Problems、Inverse problems and imaging、Numer. Linear Algebra Appl. 、BIT、Linear Algebra and its Applications以及机器学习领域顶级会议NeurIPS 2019等国际主流期刊发表科研论文50余篇，主持并完成国家自然科学基金委青年基金、数学天元基金以及教育部博士点新教师基金各一项，目前担任美国数学会评论员、中国仿真学会不确定系统分析与仿真专业委员会委员、 吉林省工业与应用数学学会第四届理事会理事。出版学术专著一本。曾多次受邀访问国内外高校进行合作研究与学术交流。主讲《矩阵计算》、《最优化计算》、《数值分析》、《凸分析》、《微分方程数值解》等多门研究生与本科生课程。

代表性论文列表（*表示通讯作者）

1.         Z. Bai, H. Diao*, H. Liu and Q. Meng, Stable determination of an elastic medium scatterer by a single far-field measurement and beyond, Calc. Var. PDE, 61(2022), 170, 23pp.

2.        H. Diao, H. Liu, and L. Wang, Further results on generalized Holmgren’s principle to the Lamé operator and applications, J. Differential Equations, 309  (2022), 841–882.

3. Q. Meng, Z. Bai, H. Diao* and H. Liu, Effective medium theory for embedded obstacles in elasticity with applications to inverse problems, SIAM J. Appl. Math., 82 (2022), No. 2, 720–749.

4. X. Cao, H. Diao, H. Liu and J. Zou, Two single-measurement uniqueness results for inverse scattering problems within polyhedral geometries, Inverse   Problems and Imaging, doi: 10.3934/ipi.2022023, 2022.

5. H. Diao*, H. Liu, and B. Sun, On a local geometric structure of generalized elastic transmission eigenfunctions and application, Inverse Problems, 37 (2021), 105015 (36pp).

6. X. Cao, H. Diao*, H. Liu and J. Zou, On novel geometric structures of Laplacian eigenfunctions in R3 and applications to inverse problems, SIAM Journal on Mathematics Analysis, 53(2021), no. 2, 1263–1294. 

7.  H. Diao, H. Liu, L. Zhang and J. Zou, Unique continuation from a generalized impedance edge-corner for Maxwell’s system and applications to inverse problems, Inverse Problems, 37 (2021) 035004. 

8.  Q. Meng, H. Diao*, and Z. Bai, Condition numbers for the truncated total least squares problem and their estimations, Numer. Linear Algebra Appl., e2369, 2021.

9. H. Diao, X. Cao and H. Liu, On the geometric structures of conductive transmission eigenfunctions and their application, Communications in Partial Differential Equations, 46 (2021), no. 4, 630-679.

10. X. Cao, H. Diao*, H. Liu and J. Zou, On nodal and generalized singular structures of Laplacian eigenfunctions and applications, Journal de Mathématiques Pures et Appliquées, 143(2020), 116-161.

11.  H. Diao*, H. Liu and L. Wang, On generalized Holmgren’s principle to the Lamé operator with applications to inverse elastic problems, Calculus of Variations and Partial Differential Equations, 59(2020), 179 

12. Q. Meng, H. Diao* and Q. Yu, Structured condition number for multi-right hands linear systems with parameterized quasiseparable coefficient matrix, Journal of Computational and Applied Mathematics, 368(2020), 112527. 

13. H. Diao, Z. Song, David P. Woodruff, and X. Yang, Total least squares regression in input sparsity time, Advances in Neural Information Processing Systems 32 (NeurIPS 2019), pages 2478-2489. Curran Associates, Inc., 2019. 

14. H. Diao, R. Jayaram, Z. Song, W. Sun, and David P. Woodruff, Optimal sketching for Kronecker product regression and low rank approximation, Advances in Neural Information Processing Systems 32 (NeurIPS 2019), pages 4739-4750. Curran Associates, Inc., 2019. 

15. H. Diao* and Q. Meng, Structured generalized eigenvalue condition numbers for parameterized quasiseparable matrices, BIT, 59(2019), 695-720. 

16. H. Diao, P. Li and X. Yuan, Inverse elastic surface scattering with far-field data, Inverse Problems and Imaging, 13(2019), 721–744. 

17.  H. Diao* and Y. Sun. Mixed and componentwise condition numbers for a linear function of the solution of the total least squares problem, Linear Algebra and its Applications, 544(2018), 1-29

18.  H. Diao*, Condition numbers for a linear function of the solution of the linear least squares problem with equality constraints, Journal of Computational and Applied Mathematics, 344 (2018), 640- 656. 

19. H. Diao* and J. Zhao, On structured componentwise condition numbers for Hamiltonian eigenvalue problems, Journal of Computational and Applied Mathematics, 335(2018), 74-85. 

20. H. Diao*, Y. Wei, and P. Xie. Small sample statistical condition estimation for the total least squares problem, Numer. Algor., 75(2017), no. 2, 435-455. 

21. H. Diao, L. Liang and S. Qiao, A condition analysis of the weighted linear least squares problem using dual norms, Linear and Multilinear Algebra., 66(2018), no. 6, 1085-1103. 

22. H. Diao, X. Shi and Y. Wei, Effective condition numbers and small sample statistical condition estimation for the generalized Sylvester equation, Sci. China Math., 56 (2013), no. 5, 967-982. 

23. H. Diao, W. Wang, Y. Wei and S. Qiao, On condition numbers for Moore-Penrose inverse and linear least squares problem involving Kronecker products, Numer. Linear Algebra Appl., 20 (2013), no. 1, 44-59. 

24. H. Diao, H. Xiang and Y. Wei, Mixed, componentwise condition numbers and small sample statistical condition estimation of Sylvester equations, Numer. Linear Algebra Appl., 19 (2012), no. 4, 639-654. 

25. H. Diao*, On componentwise condition numbers for eigenvalue eproblems with structured matrices, Numer. Linear Algebra Appl., 16 (2009), 87-107. 

26. H. Diao and Y. Wei, On Frobenius normwise condition numbers for Moore-Penrose inverse and linear least squares problems, Numer. Linear Algebra Appl., 14(2007), 603-610. 

27.  F. Cucker and H. Diao, Mixed and componentwise condition numbers for rectangular structured matrices, Calcolo, 44(2007), 89-115. 

28. F. Cucker, H. Diao and Y. Wei, On mixed and componentwise condition numbers for Moore-Penrose inverse and linear least squares problems, Math. Comp., 76 (2007), 947-963. 

29.  F. Cucker, H.Diao and Y. Wei, Smoothed analysis of some condition numbers, Numerical Linear Algebra with Applications, 13 (2006), 71-84.