DFG Priority Programs

The sessions introduce currently running Priority Programmes of the Deutsche Forschungsgemeinschaft which are related to topics of the GAMM.


Organizer: Jörg Schröder (Duisburg-Essen)

Starting with the pivotal works of Donoho and Candès-Romberg-Tao around 2005, the field of compressed sensing flourished at an unprecedented pace through close collaboration between mathematicians and engineers. The central problem in compressed sensing is the reconstruction of a signal, typically an element of a vector space represented in terms of a suitable basis, from only a limited number of linear observations. Despite the generally ill-posed nature of such linear inverse problems, the theory of compressed sensing shows that these types of problems still admit unique solutions, provided that the signals of interest exhibit certain exploitable low-complexity structures such as sparsity or low-rankness. Even more surprisingly, these solutions can be obtained by means of solving simple convex optimization programs. Considering the ubiquitous presence of structured signals in numerous applications such as wireless information and communication technology, imaging sciences, radar surveillance, and visual and audio signal processing, compressed sensing represents a powerful tool in the toolbox of mathematicians and engineers alike. At the heart of the current compressed sensing research lie efficient recovery algorithms, as well as necessary and sufficient conditions for stable and robust reconstruction, and the design of suitable measurement ensembles. The priority program "Compressed Sensing in Information Processing" (SPP 1798), started in April 2015, explores applications of compressed sensing in information processing. The program hosts innovative applications from wireless communication systems, channel and network coding, imaging sciences, radar and biological signal processing and pays significant attention to the underlying mathematical theory.

Organizers: Gitta Kutyniok (Berlin), Rudolf Mathar (Aachen)

Invited speakers:

  • Felix Krahmer (TU Munich, Introductory lecture).
  • Giuseppe Caire (TU Berlin)
  • Arash Benboodi (RWTH Aachen)
  • Maximilian Maerz (TU Berlin)
  • Lars Palzer (TU Munich)


Organizer: Michael Kaliske (Dresden)

The Senate of the Deutsche Forschungsgemeinschaft (DFG) decided to implement the priority program „Targeted Use of Forming Induced Internal Stresses in Metal Components” (SPP 2013). The program is designed for a term of six years. The increased demand for lightweight constructions in industrial productions requires the design, manufacture, and use of application oriented components. Forming manufacturing processes have many advantages over machining processes. Not only are the material utilization and productivity optimized, but also the fiber orientation is adapted to the specific task. This results in increased mechanical characteristics and dynamic strength of formed metal components. However, internal stresses greatly influence the performance of components manufactured by forming procedures. The state of initial stress is mainly responsible for component failure during the manufacturing process as well as during the use of the component afterwards. For this reason, internal stresses are currently considered as a highly unfavorable characteristic, which has a negative impact on a component’s feasibility. Efficient models and experimental testing equipment for operational stability already showed promising results for the potential usefulness of internal stresses. Therefore, the objective of the priority program is to regulate and control internal stresses by utilizing forming technologies in order to achieve a positive impact on relevant characteristics of components manufactured by forming processes.

Organizers: Wolfram Volk (TU Munich, introduction lecture)

Invited Speakers:

  • Dominik Brands (University Duisburg-Essen)
  • Thomas Böhlke (Karlsruhe Institute of Technology, KIT)
  • Markus Kästner (TU Dresden)
  • Paul Steinmann (FAU Erlangen-Nürnberg)
  • Markus Bambach (BTU Cottbus-Senftenberg)