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.
Liviu Marin, University of Bucharest, Romania, 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:
Thouraya Nouri Baranger, University of Lyon 1, France, This email address is being protected from spambots. You need JavaScript enabled to view it.
Solving Cauchy problem and application in solid mechanics

Adriano de Cezaro, Federal University of Rio Grande, Brazil, This email address is being protected from spambots. You need JavaScript enabled to view it.; This email address is being protected from spambots. You need JavaScript enabled to view it.
On level set regularization approaches to inverse problems

Michele Di Cristo, Politecnico di Milano, Italy, This email address is being protected from spambots. You need JavaScript enabled to view it.

Franck Delvare, University of Caen-Normandie, France, This email address is being protected from spambots. You need JavaScript enabled to view it.

George S. Dulikravich, Florida International University, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.
Hybrid optimization as a tool for solving realistic inverse problems

Alain Kassab, University of Central Florida, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.
RBF-Trained POD for Parameter Estimation in Optimal Design and Inverse Problems

Akhtar Khan, Rochester Institute of Technology, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.

Taufiquar R Khan, Clemson University, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.
Comparison of Bayesian inversion and iteratively regularized Gauss Newton method for ill-posed inverse problem in EIT and DOT

Antonio Leitao, Federal University of Santa Catarina, Brazil, This email address is being protected from spambots. You need JavaScript enabled to view it.

Patrik Mihala, Comenius University, Slovekia, This email address is being protected from spambots. You need JavaScript enabled to view it.
Heat exchange in unsaturated-saturated porous media with heat dependent water

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

Anar Rahimov, Institute of Control Systems of Azerbaijan National Academy of Sciences, Azerbaijan, This email address is being protected from spambots. You need JavaScript enabled to view it.
Numerical solution to inverse source problems for distributed systems with nonlocal conditions

Johannes Schwab, University of Innsbruck, Austria, This email address is being protected from spambots. You need JavaScript enabled to view it.
Data-driven regularization methods for photoacoustic tomography

Fabiana Travessini De Cezaro, Federal University of Rio Grande, Brazil, This email address is being protected from spambots. You need JavaScript enabled to view it.; This email address is being protected from spambots. You need JavaScript enabled to view it.
Coefficient identification problems in the Euler-Bernoulli beam theory