Profile

Per Christian Hansen is a VILLUM Investogator and his research focuses on computational methods for the solution of inverse problems in, e.g., tomography and image deblurring. Recently his reseach also involves computational methods for uncertainty quantification of inverse problems. His h-index is 53 (2023) 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 5 books on numerical methods and inverse problems and more than 120 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.

Research areas

Professor Per Christian Hansen has worked with numerical regularization methods for 35 years, and he has published 5 books and 120+ papers in leading journals. He has developed several related software packages for inverse problems, such as "Regularization Tools", "IR Tools", and "AIR Tools II".

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.