Similar to neural networks, compressed sensing offers a perspective to handle high-dimensional data and works on the standing assumption that a simple low complexity governs the data. Its core application targets efficient data acquisition from very few measurements. The reasonably young field arose in 2006 and has since then found numerous applications in signal- and image processing, electrical engineering, communication theory, imaging sciences, optics, radar technology, and medical imaging.

The 3. International MATHEON Conference "Compressed Sensing and its Applications”, which will take place from December 4-8, 2017, at the Technische Universität Berlin, focusses on this area. After the two previous meetings in 2013 and 2015, this year a second focus area will be deep learning, aiming to initiate interactions between those two areas and communities.

The plenary speakers of this conference are:

  • Martin Burger (Universität Münster, Germany)
  • Ingrid Daubechies (Duke University, USA)
  • Joachim Ender (Fraunhofer FHR, Germany)
  • Rob Nowak (University of Wisconsin-Madison, USA)
  • Gabriel Peyré (École Normale Supérieure, France)
  • Joel Tropp (California Institute of Technology, USA)
  • René Vidal (Johns Hopkins University, USA)
  • John Wright (Columbia University, USA)


An additional 20 invited lectures will be held by selected researchers. Besides those presentations, each participant will have the opportunity to present her/his research in the form of a poster.

More details on this conference can be found at http://www.math.tu-berlin.de/csa2017.

The organizers Holger Boche (TU Munich), Giuseppe Caire (TU Berlin), Robert Calderbank (Duke University), Gitta Kutyniok (TU Berlin), Rudolf Mathar (RWTH Aachen), and Philipp Petersen (TU Berlin) are looking forward to welcome you to Berlin.

Category: Other Announcements