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Research Projects

Optimal control in cryopreservation of cells and tissues

The proposal concerns the application of the theory of partial differential equations and optimal control techniques to the minimization of damaging factors in cryopreservation of living cells and tissues in order to increase the survival rate of frozen and subsequently thawed out cells.

Project Leader: Prof. Dr. Dr. h.c. mult. Karl-Heinz Hoffmann

Modelling of CO2 sequestration including parameter identification and numerical simulation

This subproject is a part of the Special Partnership between King Abdullah University of Science and Technology (KAUST) and Technische Universität München (TUM). The subproject deals with the simulation of different scenarios of CO2 sequestration in order to predict possible leakage sources of CO2, estimate expected storage capacities of CO2 repositories, and optimize the injection process. The development and numerical implementation of multiphase flow models including such phenomena as phase changes, hysteresis effects, chemical reactions, etc is the content of the investigation.

Project Leader: Prof. Dr. Dr. h.c. mult. Karl-Heinz Hoffmann

Hysteretic aspects of CO2 sequestration modelling

This subproject is a part of the Special Partnership between King Abdullah University of Science and Technology (KAUST) and Technische Universität München (TUM). The multiphase nature of the flow in porous media is characterized by hysteretic effects on the macroscopic level. These effects have a significant influence on the behavior of the whole system and therefore have to be taken into account. The aim of this subproject is to develop and implement models describing the hysteresis in the context of the CO2 sequestration process.

Project Leader: Prof. Dr. Martin Brokate

MAMEBIA - Mathematical Methods in Biological Image Analysis

The aim of the MAMEBIA project is the development of theoretical and concrete mathematical methods to model and analyze biological image data, with an emphasis on complex-valued methods and phase information.

Project Leader: Prof. Dr. Brigitte Forster-Heinlein

Marie Curie Excellence Team funded by the European Commission.

Conformal monogenic frames for image analysis

Conformal monogenic signals - in contrast to classical monogenic signals - include a curvature term, which allows for the detection of curve singularities. In the project, we will combine spline frames with the idea of the conformal monogenic signal to make these common analysis families available for higher dimensional image processing with phase information.

Project Leader: Prof. Dr. Brigitte Forster-Heinlein

A cooperation with Prof. Uwe Kähler, University of Aveiro, Portugal.

Project funded by the DAAD.