• Inverse Problems in: Tomography; Medical Imaging; Mechanics; Nondestructive Testing; Material Science; Underground Prospecting; Acoustics; Geosciences; Heat and Mass Transfer; Chemistry, Biology, Medicine, Economics and Life Sciences; Electromagnetism; Learning Theory
  • Imaging
  • Statistical and Probabilistic Methods
  • Numerical Inversion Algorithms
  • Identification Problems for Differential Equations
  • Geometric Inverse Problems
  • Regularization Techniques Design and Shape Optimization
  • Inverse Scattering, Soliton Theory
  • Determination of Boundary and Initial Conditions
  • Inverse Coefficient and Source Problems
  • Computational Methods Identifiability Concepts
  • Spectral Inversion
  • Data Analysis
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