M3. Tomographic Inverse Problems

Tomography has revolutionized diagnostic medicine, nondestructive evaluation and materials science. By nature, tomography is an inverse problem—recovering information about the structure or properties of an object using indirect data. Modern modalities include novel methods in X-ray CT, hybrid imaging, multi-modal imaging, multi-energy CT, ultrasound, Compton CT, and time-dependent problems. Each modality generates novel mathematics and new algorithms, many of which will be presented in this minisymposium. We will bring together young and established researchers from the inverse problems community to present their recent work and to foster discussion among participants.

Organizers:
Anuj Abhishek, University of North Carolina, Charlotte, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.
Venkateswaran P. Krishnan, Tata Institute for Fundamental Research, India, This email address is being protected from spambots. You need JavaScript enabled to view it.
Eric Todd Quinto, Tufts University, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.

Invited Speakers :
Gaël Rigaud, University of Bremen,  This email address is being protected from spambots. You need JavaScript enabled to view it.,
Study of spectrum in 3D Compton scattering imaging
                               
                                 

Rohit Mishra, University of Texas at Arlington, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.

Souvik Roy, University of Texas at Arlington, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.
Reconstruction of sparse log-conductivity in current density impedance imaging          

Suman Sahoo, TIFR Centre for Applicable Mathematics, India, This email address is being protected from spambots. You need JavaScript enabled to view it.
Symmetry from sectional integrals for convex domains                                                                                           
                                     

Manmohan Vashisth, Beijing Computational Science Research Center, China, This email address is being protected from spambots. You need JavaScript enabled to view it.


PLENARY SPEAKERS

Prof. Dr. Liliana Borcea

University of Michigan, USA
http://www-personal.umich.edu/~borcea/

Inverse scattering in random media, Electro-magnetic inverse problems, Effective properties of composite materials, transport in high contrast, heterogeneous media

Prof. Dr. Bernd Hofmann

Chemnitz University of Technology, Germany
https://www.tu-chemnitz.de/mathematik/inverse_probleme/hofmann/?en=1

Regularization of inverse and ill-posed problems

Prof. Dr. John C Schotland

Yale University, USA
https://gauss.math.yale.edu/~js4228/

Inverse problems with applications to imaging, Scattering theory, Waves in random media, Nano-scale optics, Coherence theory and quantum optics

Prof. Dr. Erkki Somersalo

Case Western Reserve University, USA
https://mathstats.case.edu/faculty/erkki-somersalo/

Computational and statistical inverse problems, Probabilistic methods for uncertainty quantification, Modeling of complex systems, Biomedical applications

Prof. Dr. Gunther Uhlmann

University of Washington, USA
https://sites.math.washington.edu/~gunther/

Inverse problems and imaging, Partial differential equations, Microlocal analysis, Scattering theory

Prof. Dr. Jun Zou

The Chinese University of Hong Kong, Hong Kong SAR
https://www.math.cuhk.edu.hk/~zou/

Numerical solutions of electromagnetic Maxwell systems and interface problems, inverse and ill-posed problems, preconditioned and domain decomposition methods