Per Christian Hansen Professor, dr.techn. VILLUM Investigator
My specialization is
numerical
analysis,
numerical
linear algebra,
iterative
reconstruction methods, and computational methods for
inverse problems.
My research lies within applied mathematics: theoretical analysis (e.g.,
perturbation theory
and convergence
analysis) goes hand in hand with practical development and implementation of
robust,
adaptive and efficient
computational methods. For more deatails, see my
CV and a
portrait
of me.
These slides give a
short introduction to inverse problems and uncertainty quantification.
And these slides give a brief overview
of my current research in inverse problems.
My results are of general interest in scientific computing and,
in particular, computational inverse problems.
Some of my work has applications in computed tomography for
materials science, image deblurring, signal analysis, and antenna design.
I have (co-)written 5 books, 100+ scientific papers and several Matlab
software packages.
I am a
VILLUM Investigator
and I am heading the research initiative
CUQI
at DTU for Computational Uncertainty
Quantification for Inverse Problems.
We create a modeling and computational platform, suited for non-experts,
to characterize and study how errors and uncertainties in the data and
the mathematical models propagate
to the computed solution to the inverse problem.
Contact Information
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Department of
Applied Mathematics and Computer Science (DTU Compute)
Section for Scientific Computing
Technical University of Denmark DK-2800 Kgs. Lyngby, Denmark
Office: building 303B, room 114
Email: pcha@dtu.dk
URL: http://people.compute.dtu.dk/pcha (this page)
Phone: +45 45.25.30.97
Mobil: +45 23.65.27.98
Secretary:
Anette
Iversen, Building 303B, room 005. Phone: +45 45.25.33.53.
Email: anive@dtu.dk.
Personal Data
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SIAM
Fellow of 2015 for contributions to computational methods for rank-deficient and
discrete ill-posed problems and regularization techniques.
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I celebrated my 40th anniversary of working for the Danish government
on August 26, 2022 with an event
Inverse
Problems and All That Jazz.
Research Projects Click the logos for information
Current:
Previous:
Professional Memberships
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Life Hacks
Drinking coffee without caffeine is like doing computations
without rounding errors.
Man skal ikke sige nej til hvad som helst
Hvis der er noget du ikke orker, så bare gå en omvej
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