1984 …2022

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Personal profile


Per Christian Hansen is a VILLUM Investogator and his 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 image deblurring. Recenetly his reseach also involves computational methods for uncertainty quantification of inverse problems.  His work on numerical methods for regularization is internationally recognized. His h-index is 48 (March 2019) and he is a SIAM Fellow.

Per Christian Hansen is professor of Scientific Computing at the Department of Informatics and Mathematical Modelling (DTU Compute). 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 universities, such as Stanford University, UCLA, Emory University, and Tufts University.

Per Christian Hansen teaches numerical methods and inverse problems.  He has published 4 books on numerical methods and inverse problems and more than 100 scientific papers in international journals.

Other information

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.

Language Skills:
Danish (fluent)
English (fluent)

Research areas

Professor Per Christian Hansen has worked with numerical regularization algorithms for 30 years, has published 4 books and 100+ 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 astandard toolbox for analysis and solution of discrete inverse problems.

His current research projects involve inverse problems and image deblurring (joint with University of Bath, Emory University, Atlanta and Tufts University, Boston), tomography in material science (joint with Manchester University and Linköping University), and computational uncertainty quantification.

Education/Academic qualification

PhD (lic. techn.) in numerisk analyse, DTU


PhD, Numerical Analysis, Technical University of Denmark


Civilingeniør (elektro), DTU


MSc, Electrical Engineering, Technical University of Denmark


External positions

Professor in Scientific Computing, Technical University of Denmark

1996 → …

Senior Consultant, UNI-C


Research Associate, Copenhagen University


Research Fellow, Technial University of Denmark



  • User defined:
  • Computational methods for inverse problems
  • Iterative regularization
  • Computational uncertainty quantification
  • Numerical Analysis
  • Matlab packages
  • Matrix computations
  • Regularization methods


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