M23. Theory and Numerics for Inversion Strategies 

In recent decades, the inverse problem community has witnessed remarkable developments in both theoretical and numerical aspects. In this mini-symposium, we are aiming to bring together many experts mainly from Asia who are working in a wide range of inverse problems and their related fields concerning some inversion strategies for inverse problems. This will give us a good opportunity to share some motivations, backgrounds and viewpoints of several inverse problems. Further, it will also improve the communication and collaboration especially between researchers in Asia and Europe.

Organizers:
Gen Nakamura, Hokkaido University, Japan, This email address is being protected from spambots. You need JavaScript enabled to view it.

Invited Speakers (in alphabetical order):
Sombuddaha Bhattacharyya, Tata Institute of Fundamental Research, India, This email address is being protected from spambots. You need JavaScript enabled to view it.
Inverse problems in elastic media

Durga Prasad Challa, Indian Institute of Technology, Tirupati, India, This email address is being protected from spambots. You need JavaScript enabled to view it.
Recovering the index of refraction by embedding small inclusions


Shumin Li, University of Science and Technology of China, China, This email address is being protected from spambots. You need JavaScript enabled to view it.
Carleman estimates and inverse problems for the coupled quantitative thermo-acoustic equations

Gen Nakamura, Hokkaido University, Japan, This email address is being protected from spambots. You need JavaScript enabled to view it.
Uniqueness for the inverse boundary value problem of piecewise homogeneous anisotropic elasticity in the time domain

Manabu Machida, Hamamatsu University School of Medicine, Japan, This email address is being protected from spambots. You need JavaScript enabled to view it.
Diffuse optical tomography with a simulated annealing Monte Carlo algorithm


Hiroshi Takase, The Unviersity of Tokyo, Japan, This email address is being protected from spambots. You need JavaScript enabled to view it.
Inverse source problem for Klein--Gordon equation in de Sitter space-time

Zhidong Zhang, University of Helsinki, Finland, This email address is being protected from spambots. You need JavaScript enabled to view it.
On the identification of source term in the heat equation from sparse data


Jenn-Nan Wang, National Taiwan University, Taiwan, This email address is being protected from spambots. You need JavaScript enabled to view it.
Estimate the size of an inclusion in a body with complex conductivity using finite number of measurements


 

 

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