The 5th Internal Meeting and the 4th Member Workshop took place online on September 1st and 2nd, respectively. After the cancellation of the previous meetings due to Covid-19, we managed to meet after a long time (at least online).
In the internal meeting, we had the opportunity to listen to interesting talks from external members of the SFB and participate in special sessions of the collaborating sub-projects. The member workshop consisted of member talks and talks from associated members with potential application to the scope of the SFB. The members elect Simon Hubmer and Ekaterina Sherina as the new member speaker and vice-speaker, respectively.
Hopefully we can meet in person again in Bad Mitterndorf at the end of November.
Otmar Scherzer was a member of the organizing committee of the “Reconstruction Methods for Inverse Problems” workshop in Banff, Canada, June 23-28, 2019. This workshop brought together researchers working on inverse problems coming from medical imaging, non destructive testing, computer vision and geophysics. The PI of sub-project “Quantitative Coupled Physics Imaging”, Peter Elbau and the post-doctoral researcher of the sub-project “Tomography with Uncertainties”, Ekaterina Sherina presented their recent work related to our SFB project.
at Banff, Alberta from Sunday, June 23 to Friday June 28, 2019
Elena Beretta (NYU Abu Dhabi & Politecnico di Milano)
Uri Ascher (University of British Columbia)
Otmar Scherzer (University of Vienna)
Luminita Vese (University of California, Los Angeles)
Inverse problems require to determine the cause from a set of indirect observations.
Such problems appear in medical imaging, non destructive testing of materials, computerized tomography,
source reconstructions in acoustics, computer vision and geophysics, to mention but a few.
The 21st century is the golden age of computer imaging: Measurement devices have become
enormously powerful and huge amounts of data are recorded at every eye glimpse. Moreover,
computer technology has developed to such a high degree of efficiency that the evaluation of such
an enormous amount of data has become possible *if* adequate mathematical and
computational tools are used.
Recently, the community has been exposed to fundamentally new mathematical models (such as learning), which
stimulated exciting theoretical developments and new computational algorithms for solving complicated large
scale inverse problems. This workshop will survey modern and identify new mathematical and computational
developments for tackling such problems.
Leopold Veselka is the PhD student at the Computational Science Center under the supervision of P. Elbau, working in the Subproject: Quantitative Coupled Physics Imaging.
Simon Hubmer is the postdoctoral researcher in the Subproject: Tomography in Astronomy of R. Ramlau
Mia Kvåle Løvmo joins the team of M. Ritsch-Marte, as a PhD student, working in Subproject: Imaging of Trapped Particles at the Division for Biomedical Physics.
Denise Schmutz started her PhD studies at the Computational Science Center, working in O. Scherzer’s Subproject: Tomography with Uncertainties.
Montse López (PostDoc) and Magdalena Schneider (PhD student) joined G. Schütz’s group, participating in Subproject: Ultra-high Resolution Microscopy, located at the Institute of Applied Physics – Biophysics.
There are still open positions! You can apply here.