刁怀安

刁怀安，山东淄博人，教授，博士生导师，中国仿真学会不确定性系统分析与仿真专业委员会委员、美国数学会评论员，吉林省高层次人才，多次赴香港、美国、日本、加拿大、德国等地的知名大学开展学术交流。

2007年博士毕业于City University of Hong Kong，主要研究方向包括数学物理反问题的分析与计算以及数值代数，在Springer出版社发表了一部专著，部分论文发表在J. Math. Pures Appl.、Calc. Var. Partial Differential Equations、SIAM J. Math. Anal.、Comm. Partial Differential Equations、Math. Comp.、SIAM J. Appl. Math.、J. Differential Equations、Inverse Problems等应用与计算数学领域的期刊上。此外，在人工智能领域的国际顶级会议NeurIPS 2019上发表了两篇论文。所发表的论文被引用了超过990次（据Google学术统计），H指数为19。目前，主持 一项国家自然科学基金面上项目，曾主持并成功完成一项国家自然科学基金青年项目，一项国家自然科学基金数学天元基金项目，以及一项教育部博士点新教师基金项目。此外，还参与了一项国家自然科学基金国际地区合作与交流项目。多次受邀为多个国际期刊审稿，包括IEEE Transactions on Signal Processing、Inverse Problems、Inverse Problems and Imaging、SIAM Journal on Matrix Analysis and Applications、BIT、Numer Algorithms、Applied Mathematics Letters、Applied Numerical Mathematics、Applied Mathematics and Commutation、Calcolo、Journal of Computational and Applied Mathematics、Linear Algebra and its Application、Linear and Multilinear Algebra等。同时担任浙江省自然科学基金项目评审专家，全国研究生教育评估监测专家库专家。

SCOPUS: 8565532400

https://www.scopus.com/authid/detail.uri?authorId=8565532400

ResearcherID: HLQ-5640-2023

http://www.researcherid.com/rid/HLQ-5640-2023

ORCID: 0000-0002-3787-9608

http://orcid.org/0000-0002-3787-9608

Google scholar:

https://scholar.google.com/citations?user=p9M8-YgAAAAJ&hl=en&oi=ao

课题小组目前专注于数学物理反问题的分析与计算、谱理论、以及数值代数等研究方向。招收优秀的硕士研究生和博士研究生（申请考核制招生），同时也欢迎博士后的加入。鼓励有志于科研的同学联系，同时也欢迎对科研充满热情的本科生加入课题小组。

研究方向

谱理论；数学物理反问题的分析与计算;  数值代数；随机化算法

讲授课程

本科生课程：现代优化算法、复变函数、数值分析、凸分析、微分方程数值解、离散数学、数学分析习题课、高等代数与解析几何习题课、高等数学、线性代数
研究生课程：矩阵计算、最优化计算、微分方程差分方法

教育与工作经历

2021.10 - 至今 吉林大学数学学院 教授

2008.07-  2021.06   东北师范大学数学与统计学院 副教授

2007.09 - 2008.06   东北师范大学数学与统计学院 讲师

2019.11 - 2020.01   香港浸会大学 访问学者

2018.03 - 2018.05   香港浸会大学 访问学者
2018.01 - 2018.02   日本国立信息研究所 访问学者
2017.10 - 2017.11   普渡大学 访问学者
2014.09 - 2014.10   麦克马斯特大学 访问学者
2014.08 - 2014.09   汉堡工业大学 访问学者
2013.01 - 2014.01   普渡大学大学 访问学者

2004.09 - 2007.08   香港城市大学数学系 博士

科研项目

1. 国家自然科学基金面上项目（12371422），43.5万，2024.01-2027.12，主持

2. 符号与工程教育部重点实验开放课题项目（93Z172023Z01），5万，2023.01-2024.12，主持

3. 国家自然科学基金国际(地区)合作与交流项目 （12161160314）, 100万，2022.01-2025.12，参加

4. 国家自然科学基金青年科学基金项目（11001045），16万，2011.01-2013.12，主持

5. 国家自然科学基金数学天元基金项目（10926107），3万，2010.01-2010.12，主持

6. 教育部博士点新教师基金项目（20090043120008），3.6万，2010.01-2012.12，主持

7. 东北师范大学-“十一五”科技创新项目培育基金项目（NENU-STC08009），10万，2008.01-2010.12，主持

8. 国家自然科学基金数学天元基金项目（11126108），3万，2012.01-2012.12，参加

9. 国家自然科学基金青年科学基金项目（10801030），17万，2009.01-2011.12，参加

学术论文

代表性论文列表(*表示通讯作者)：

1. H. Diao, H. Li, H. Liu, and J. Tang, Spectral properties of an acoustic-elastic transmission eigenvalue problem with applications, J. Differential Equations, 371(2023), 629-659.

2. H. Diao, X. Fei, H. Liu, and K. Yang, Visibility, invisibility and unique recovery of inverse electromagnetic problems with conical singularities, Inverse Probl. Imaging, doi: 10.3934/ipi.2023043, 2023.

3. 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.

4. X. Cao, H. Diao, H. Liu and J. Zou, Two single-measurement uniqueness results for inverse scattering problems within polyhedral geometries, Inverse Probl. Imaging 16 (2022), no. 6, 1501-1528.

5. 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.

6. 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.

7. X. Cao, H. Diao, H. Liu and J. Zou, Two single-measurement uniqueness results for inverse scattering problems within polyhedral geometries, Inverse Probl. Imaging, 16 (2022), no. 6, 1501-1528.

8. 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).

9. 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.

10. 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.

11. 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.

12. 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.

13. 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.

14. 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

15. 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.

16. 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.

17. 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.

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

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

20. 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

21. 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.

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

23. 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.

24. 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.

25. H. Diao*, On condition numbers for least squares with quadric inequality constraint, Comput. Math. Appl. 73 (2017), no. 4, 616–627.

26. H. Diao, Y. Wei, and S. Qiao. Structured condition numbers of structured Tikhonov regularization problem and their estimations, J. Comput. Appl. Math., 308(2016), 276-300.

27. 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.

28. 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.

29. 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.

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

31. 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.

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

33. 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.

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

着作教材

1. H. Diao and H. Liu, Spectral Geometry and Inverse Scattering Theory, Springer, Cham, 2023, ISBN: 9783031346156.

2. H. Diao, On the condition of some problems in matrix computation, VDM Verlag, 2009, ISBN: 9783639111095.

社会兼职

1. 中国仿真学会不确定性系统分析与仿真专业委员会委员，2020-至今.

2. 吉林省工业与应用数学学会第四届理事会理事, 2018-2023.

3. 美国数学会评论员，2019-至今.

4. 会员, Society for Industrial and Applied Mathematics, 2018-至今.

5. 会员，Inverse Problems International Association，2022.12-至今.