Per Christian Hansen

Per Christian Hansen


Asmussens Allé

Building: 303B, 114

2800 Kgs. Lyngby


Phone: 45253097Mobile: 23652798Fax: +45 45882673

Per Christian Hansen's research focuses on computational methods for the solution of large mathematical and engineering problems. His main research area concerns the numerical solution of inverse problems in, e.g., tomography and iamge deblurring. His work on numerical methods for regularization is internationally recognized. His h-index is 45 (January 2017) and he is a SIAM Fellow.

Per Christian Hansen is professor of Scientific Computing at the Department of Informatics and Mathematical Modelling. He was awarded the Danish Dr. Techn. doctoral degree in 1996 from DTU in the area of numerical analysis. He has spent several research visits at American universitise, such as Stanford University, UCLA, Emory University, and Tufts University.

Per Christian Hansen teaching in numerical algorithms and inverse problems.  He has published 4 books on numerical methods and inverse problems and almost 100 scientific papers in international journals.



1977 - 1982 MSc, Electrical Engineering - Technical University of Denmark
1982 - 1985 PhD, Numerical Analysis - Technical University of Denmark

Academic grades

Dr. Techn, Technical University of Denmark, 1996.

PhD in Numerical Analysis, Technical University of Denmark, 1985.

MSc in Electrical Engineering, Technical University of Denmark, 1982.

Professional experience

1985 - 1985 Research Fellow - Technial University of Denmark, Department of Numerical Analysis
1985 - 1988 Research Associate - Copenhagen University, Astronomical Observatory
1988 - 1996 Senior Consultant - UNI-C
1996 - Professor in Scientific Computing (IMM) - Technical University of Denmark, Informatics and Mathematical Modelling


Danish (fluent), English (fluent)


Professor Per Christian Hansen has worked with numerical regularization algorithms for 25 years, has published 3 books and 80+ papers in leading journals, and his research monograph ``Rank-Deficient and Discrete Ill-Posed Problems'' is the most widely used book on the subject. He has developed several related software packages, of which "Regularization Tools" has become the standard toolbox for analysis and solution of discrete inverse problems, and it has been downloaded more than 4000 times from Matlab's File Exchange Central.

His current research projects involve geomagnetic prospecting (joint with University of Naples, Italy), image deblurring (joint with Emory University, Atlanta, USA and Tufts University, Boston, USA), tomography in material science (joint with Risø National Laboratory and Linköping University), and scientific GPU computing.

International experience

1986: Research Associate (6 months), Department of Computer Science, Stanford University, supported by a Fulbright Grant.

1988: Research Associate (1 month), Department of Mathematics, Oak Ridge National Laboratory, during the Numerical Linear Algebra Year.

1989: Research Associate (7 months), Dept. of Mathematics, UCLA.

1990: Visiting Scholar (1 month), Mathematics and Computer Science Division, Argonne National Laboratory.

1992: Visiting Scholar (1 month), University of California, Berkeley.

2004: Visiting Scholar (1 month), Department of Mathematics and Computer Science, Emory University, Atlanta.

2006: Visiting Scholar (1 month), Dept. of Mathematics, Tufts University, Medford.

My files

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  • Numerical Algorithms

    ISSNs: 1017-1398

    Additional searchable ISSN (Electronic): 1572-9265

    Springer New York LLC, United States

    BFI (2018): BFI-level 2, Scopus rating (2017): CiteScore 1.49 SJR 0.981 SNIP 1.274, ISI indexed (2013): ISI indexed yes, Web of Science (2018): Indexed yes

    Central database


  • BIT Numerical Mathematics

    ISSNs: 0006-3835

    Additional searchable ISSN (Electronic): 1572-9125

    Springer Netherlands, Netherlands

    BFI (2018): BFI-level 2, Scopus rating (2017): CiteScore 1.42 SJR 1.364 SNIP 1.084, ISI indexed (2013): ISI indexed yes, Web of Science (2018): Indexed yes

    Central database


  • S I A M Journal on Scientific Computing

    ISSNs: 1064-8275, 0885-7474

    Additional searchable ISSN (Electronic): 1095-7197

    Society for Industrial and Applied Mathematics, United States

    BFI (2018): BFI-level 2, Scopus rating (2017): CiteScore 2.61 SJR 1.973 SNIP 1.612, ISI indexed (2013): ISI indexed yes, Web of Science (2018): Indexed yes

    Central database


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