Research homepage of Samuli Siltanen
I am a Finnish mathematician mainly interested in inverse problems of medical imaging.
The goal of my scientific work is to design efficient numerical methods that have a sound
mathematical basis and solve real-world problems. I have published research articles mostly
about the following topics:
Electrical impedance tomography
Low-dose three-dimensional X-ray imaging
Discretization-invariant Bayesian inversion
The Novikov-Veselov equation
Fine structure of photographic images
The center image at the top of this page is a reconstruction of electric conductivity from
electrical impedance tomography measurements using the regularized d-bar method (joint
with David Isaacson, Kim Knudsen, Matti Lassas, Jennifer Mueller and Jon Newell). The
rightmost image above is a local X-ray tomographic reconstruction of teeth using wavelet-
based Bayesian inversion (joint with Ville Kolehmainen and Kati Niinimäki).
I have written a textbook on inverse problems with Jennifer Mueller:
The book is available for ordering at the SIAM bookstore.
For computational resources (Matlab files) related to the book, see this page.
I work as Professor of Industrial Mathematics at the
Department of Mathematics and Statistics
of University of Helsinki
and as senior scientist in the
Finnish Center of Excellence in Inverse Problems Research.
Grants and awards
Sam's Applied Math Tips Blog
Industrial Mathematics Laboratory
Contact information page