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Organizing Committee
University of Texas at Arlington
Schlumberger-Doll Research Center
Technische Universität Berlin
TIFR Centre for Applicable Mathematics, India
Universität des Saarlandes
Tufts University
Abstract
The mathematical study of image reconstruction problems can have a huge impact on human life. More efficient mathematical algorithms for X-ray tomography and more accurate mathematical models in seismic or hybrid imaging can lead to better imaging devices in fields such as medicine and remote sensing. Developing the underlying mathematics, including the analysis of reconstruction stability, regularization, singularity characterization, and efficient algorithms, may lead to fewer false positives in fields such as medical, seismic and radar imaging.
This topical workshop will bring together international experts working in computational and analytical aspects of image reconstruction (including but not limited to electron-microscope tomography, hybrid imaging, radar and sonar, full waveform inversion of seismic imaging and X-ray CT) as well as postdoctoral fellows and graduate students. There will be multiple introductory-level talks for early-career researchers and non-specialists in the area on both the mathematics involved and the scientific and industrial applications. Speakers and participants from industry will be included to strengthen the practical aspects of the workshop.
This topical workshop will bring together international experts working in computational and analytical aspects of image reconstruction (including but not limited to electron-microscope tomography, hybrid imaging, radar and sonar, full waveform inversion of seismic imaging and X-ray CT) as well as postdoctoral fellows and graduate students. There will be multiple introductory-level talks for early-career researchers and non-specialists in the area on both the mathematics involved and the scientific and industrial applications. Speakers and participants from industry will be included to strengthen the practical aspects of the workshop.
Output of iterations of a Mumford-Shah level set-based method for simultaneous reconstruction and segmentation of a torso phantom from noisy CT data. Images courtesy of Esther Klann relating to work in E. Klann, R. Ramlau, and W. Ring, Inverse Problems and Imaging, Vol. 5 (2011), 137-166.
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Workshop Schedule
Monday, July 13, 2015
8:30 - 8:55 AM EDT
Registration
Location: 11th Floor Collabortative Space
8:55 - 9:00 AM EDT
Welcome - ICERM Director
Location: 11th Floor Lecture Hall
9:00 - 9:45 AM EDT
TBA - Margaret Cheney, Colorado State University
Location: 11th Floor Lecture Hall
10:45 - 11:15 AM EDT
Coffee/Tea Break
Location: 11th Floor Collaborative Space
12:15 - 1:45 PM EDT
Break for Lunch
1:45 - 2:45 PM EDT
Creative Time
Location: 11th Floor Lecture Hall
3:15 - 3:45 PM EDT
Coffee/Tea Break
Location: 11th Floor Collaborative Space
4:30 - 6:00 PM EDT
Welcome Reception
Location: 11th Floor Collaborative Space
Lecture Videos
Allan Greenleaf
University of Rochester
July 13, 2015 • 12:00 AM
Thomas Schuster
Universitat des Saarlandes
July 14, 2015 • 12:00 AM
Bastian von Harrach
University of Stuttgart
July 15, 2015 • 12:00 AM
Jeffrey Fessler
University of Michigan
July 16, 2015 • 12:00 AM
Clifford Nolan
University of Limerick
July 13, 2015 • 12:00 AM
Olga Podgornova
Schlumberger-Doll Research Center
July 14, 2015 • 12:00 AM
Mikhail Zaslavskiy
Schlumberger
July 14, 2015 • 12:00 AM
Frank Natterer
University of Münster, Germany
July 14, 2015 • 12:00 AM
Alexander Mamonov
Schlumberger
July 14, 2015 • 12:00 AM
Alexander Katsevich
University of Central Florida
July 16, 2015 • 12:00 AM
Sarah Patch
University of Wisconsin - Millwaukee
July 17, 2015 • 12:00 AM