The 2011 Gene Golub SIAM Summer School

支持美国研究生参加2011年Gene Golub SIAM暑期学校（G2S3），该暑期学校将于7月4日至15日在加拿大温哥华的英属哥伦比亚大学校园举行。2011年暑期学校的主题将是“波与成像”。这些资金将用于支付来自美国院校的研究生的交通费、住宿费和餐费。2011年G2S3的目标是提供四门易于理解的迷你课程，内容涉及层析成像的数学背景、最新研究进展和重要工业问题的应用。提出的主题通常不会出现在博士课程中：它们代表了数学概念和跨学科进展的最新融合，这些尚未出现在教科书中。主讲人及主题如下：Margaret Cheney， RPI，散射基础，雷达成像；Frank Natterer, U Muenster，计算机断层扫描，医学成像；Laurent Demanet，麻省理工学院，地震成像，压缩传感；乔斯林·卡尼尔，巴黎第七届，随机媒体成像，时间反转，被动成像。暑期学校的主题——断层扫描——是医学中CT扫描等成像模式下的基本概念；国防用合成孔径雷达；以及石油和天然气行业的地震成像。采集硬件和数据集正在快速发展，但我们进行断层扫描的能力却没有。暑期学校旨在吸引具有定量背景的新一代研究生，让他们了解与断层扫描相关的重大计算挑战。美国国家科学基金会对美国参与者的支持将对美国在具有主要工业和国防应用的数学工程这一重要领域的持续强大竞争力产生积极影响。

Support for US-based graduate students to attend the 2011 Gene Golub SIAM Summer School (G2S3), to take place on the two weeks of July 4-15 on the campus of the University of British Columbia, in Vancouver, Canada. In 2011 the topic of the summer school will be "Waves and Imaging." The funds would be used to cover transportation, lodging, and meals for participating graduate students from institutions in the United States. The goal of the 2011 G2S3 is to offer four accessible mini-courses on the mathematical background of tomographic imaging, recent research developments, and applications to important industrial problems. The proposed topics are not normally found in doctoral courses: they represent a recent convergence of mathematical notions and interdisciplinary advances that has yet to appear in textbook format. The lecturers and the topics are as follows: Margaret Cheney, RPI, Foundations of scattering, Radar Imaging; Frank Natterer, U Muenster, Computerized Tomography, Medical Imaging; Laurent Demanet, MIT, Seismic Imaging, Compressed Sensing; Josselin Garnier, Paris VII, Imaging in Random Media, Time Reversal, Passive Imaging. The topic of the summer school--tomography--is the essential concept under the hood of such imaging modalities as CT scans in medicine; synthetic aperture radar for defense applications; and seismic imaging for the oil and gas industry. The acquisition hardware and the datasets are evolving fast, but our ability to perform tomography is not. The summer school aims to interest a new generation of graduate students with quantitative backgrounds in the significant computational challenges associated with tomography. NSF support for US-based participants would have a positive impact on the continued strong competitiveness of the US in this important field of mathematical engineering with major industrial and defense applications.