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With partial funding from DARPA and Army Research Office

Organizers:

Lawrence Carin
Department. of Electrical and Computer Engineering
Duke University
lcarin@ee.duke.edu
http://www.ee.duke.edu/~lcarin/

George Papanicolaou
Department of Mathematics
Stanford University
http://georgep.stanford.edu

Fadil Santosa
School of Mathematics
University of Minnesota
santosa@math.umn.edu
http://www.math.umn.edu/~santosa/

Michael S. Vogelius
Department of Mathematics
Rutgers University
vogelius@math.rutgers.edu
http://www.math.rutgers.edu/~vogelius

Description:

There has been much progress in the development of theory and effective methods for solving inverse problems for acoustics, electromagnetic waves, and elastic waves. However, most of the progress has been made in situations where the measurement setup is "static", that is, it does not adaptively change as the probing proceeds. Moreover, very little work has been done in situations where the measurements are truly multimodal.

The research in adaptive sensing and multimode data inversion is only beginning. Adaptive sensing starts out by probing the unknown with a set initial pattern, but the pattern then adaptively changes in response to the information acquired. An example of such a system is the distinguishability method in electrical impedance imaging. Multimode data leverages information available through different physical probes and sensors, and can potentially contain much more information than data coming from a single modality. An important example of the need for multimode data inversion is in detection of unexploded ordinance/anti-personnel mines.

The purpose of this workshop is to gather researchers who work in electromagnetic, acoustic and elastic inverse problems as well as pioneers in the area of adaptive sensing and multimode inversion to address computational, theoretical, and practical challenges of dealing with adaptivity and multimode inversion. Invited talks will address recent development in inverse problems, forward modeling for single and multi-modality, adaptive methods, optimal experimental design, and in new approaches to inversion of multimode data.

LIST OF CONFIRMED PARTICIPANTS