Centre for Inverse Problems

Members of the CIP

Faculty of the Centre and their research interests:

Professor Lourdes Agapito

Computer Vision, 3D Reconstruction from Video, Image and Video Registration, Non-rigid Shape Reconstruction from Images, Motion Segmentation, Optical Flow Estimation, Variational Methods for 3D Computer Vision.

Personal Webpage

Professor Simon Arridge

Image Reconstruction for Tomography, Regularization and Bayesian Methods for Ill-posed Inverse Problems, Cross-Modality Methods, Tomography and Medical Imaging: Optical and X-Ray Tomography, MRI, Nuclear Medicine.

Personal Webpage

Dr Marta Betcke

Inverse Problems, Tomographic Image Reconstruction, X-Ray: CT, Tomosynthesis, Compton Scatter, Phase-Constrast, Photo-Acoustic Imaging, Optical Tomography, Compressed Sensing, Numerical Analysis, Scientific Computing.

Personal Webpage

Dr Timo Betcke

Numerical Analysis, Scientific Computing, Numerical Simulation of Partial Differential Equations, Numerical Methods for Inverse Problems.

Personal Webpage

Professor Erik Burman

Finite Element and Finite Difference Methods for Partial Differential Equations, Data Assimilation, problems related to compressible and incompressible flows, Solidification Problems, Combustion Problems, multi-physics couplings such as Fluid-Structure Interaction.

Personal Webpage

Dr Bangti Jin

Inverse and ill-pose problems: theory and algorithms, Scientific computing.

Personal Webpage

Dr Franz Király

Compressed Sensing, Discrete Inverse Problems, Algebraic and Combinatorial Methods in Statistics, Time Series and Stationarity, Algebraic Combinatorics and Algebraic Statistics.

Personal Webpage

Professor Yaroslav Kurylev

Multidimemsional Inverse Problems, related topics of Analysis and Differential Geometry, and applications.

Personal Webpage

Dr Lauri Oksanen

Inverse Boundary Value Problems for Partial Differential Equations, Control Theory of Hyperbolic PDE's, Photoacoustic Tomography, Geometric Methods in Inverse Problems.

Personal Webpage

Professor Sofia Olhede

Big Data, Networks, Time Series, Stationarity/Nonstationarity, Random Fields, Point Processes, Medical Imaging, Financial Time Series.

Personal Webpage