M5. Reconstruction Methods in Inverse Obstacle Problems

Inverse obstacle problems are one of typical groups of inverse problems which aim at extracting information about the geometry, quantitative or qualitative property of unknown obstacles, cracks and inclusions embedded in an object to be probed by using the outputs corresponding to several inputs. In this minisymposium, in particular, we concentrate on inverse obstacles problems governed by partial differential equations and collect the new comers and experts in one place who bring new aspects and results and expect to have deep discussions, interactions each other and further developments.

Organizers:
Masaru Ikehata, Hiroshima University, Japan, This email address is being protected from spambots. You need JavaScript enabled to view it.
Hiromichi Itou, Tokyo University of Science, Japan, This email address is being protected from spambots. You need JavaScript enabled to view it.

Invited Speakers (in alphabetical order):
Carlos Borges, University of Central Florida, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.

Mourad Hrizi, Monastir University, Tunisia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Masaru Ikehata, Hiroshima University, Japan, This email address is being protected from spambots. You need JavaScript enabled to view it.

Hiromichi Itou, Tokyo University of Science, Japan, This email address is being protected from spambots. You need JavaScript enabled to view it.

Leonidas Mindrinos, University of Vienna, Austria, This email address is being protected from spambots. You need JavaScript enabled to view it.

Olivier Poisson, Aix-Marseille University, France, This email address is being protected from spambots. You need JavaScript enabled to view it.

Virginia Selgas, University of Oviedo, Spain, This email address is being protected from spambots. You need JavaScript enabled to view it.

Samuli Siltanen, University of Helsinki, Finland, This email address is being protected from spambots. You need JavaScript enabled to view it.

Danny Smyl, The University of Sheffield, UK, This email address is being protected from spambots. You need JavaScript enabled to view it.