M8. Inverse Problems in Science and Engineering

Inverse problems arise in many areas of mathematical physics and applications are rapidly expanding to geophysics, chemistry, medicine and engineering. This minisymposium focuses on both analytical and computational methods for inverse problems in Science and Engineering. The approaches developed for such problems generally include numerical approximations, stability analysis, proofs of uniqueness and/or existence of the solution.

The minisymposium aims at bringing together well established scientists as well as young researchers working on inverse problems for partial differential equations. The topics of the minisymposium range from the mathematical modelling and the theoretical analysis of inverse problems for partial differential equations where some parameters (right-hand side, kernel, diffusion coefficient, etc.), unknown boundary condition(s) or portion of the boundary are to be found, to the development of efficient numerical schemes and their practical in applications in sciences, engineering and finance.

Organizers:
Karel Van Bockstal, Ghent University, Belgium, This email address is being protected from spambots. You need JavaScript enabled to view it.
Cristiana Sebu, University of Malta, Malta, This email address is being protected from spambots. You need JavaScript enabled to view it.

Invited Speakers:
Anwesa Dey, University of Utah, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.
On 3D PET in spherical geometry of data acquisition

Pravinkumar Ghodake, Indian Institute of Technology Bombay, India, This email address is being protected from spambots. You need JavaScript enabled to view it.
Inverse problem for quantification of localized damage using 1D nonlinear elastic two-wave mixing

Taufiquar Khan, University of North Carolina at Charlotte, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.
Image Reconstruction in Diffuse Optical Tomography: An Optimal Bayesian Estimator for Absorption Coefficient


Lydie Mpinganzima, University of Rwanda, Butare, Rwanda, This email address is being protected from spambots. You need JavaScript enabled to view it.
An iterative method for the Cauchy problem for the Helmholtz equation

Mihaela Pricop-Jeckstadt, University Politehnica Bucharest, Romania, This email address is being protected from spambots. You need JavaScript enabled to view it.
Optimal indirect estimation for linear inverse problems with discretely sampled functional data

Cristiana Sebu, University of Malta, Malta, This email address is being protected from spambots. You need JavaScript enabled to view it.
Real-time Electrical Impedance Imaging at High AC Frequencies


Johannes Schwab, MRC-Laboratory of Molecular Biology, UK, This email address is being protected from spambots. You need JavaScript enabled to view it.
Reconstructing molecular flexibility in Cryogenic Electron Microscopy

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/

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://sites.google.com/case.edu/erkkisomersalo/home

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