Applied Inverse Problems 2014 Conference Finland

2014 年芬兰应用反问题会议

• 批准号: 1500517
• 负责人: Gunther Uhlmann
• 金额: $ 3万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1500517&HistoricalAwards=false
• 关键词: Applied; Inverse; Problems; 2014; Conference

Abstract (Uhlmann, 1500517): The award will support graduate students and postdoctoral researchers to participate in the Applied Inverse problems 2015 (AIP 2015), be held in Helsinki, Finland, May 25-29, 2015, as well as a summer school held also in Helsinki, May 19-22, 2015.AIP 2015 is one of a series of AIP Conferences aimed to provide a primary international forum for academic and industrial researchers working on all aspects of inverse problems, such as mathematical modelling, analytic and geometric methods, computational approaches, numerical algorithms etc. It will cover a broad spectrum of the applications of inverse problems, focusing on recent developments in medical imaging, determination of defects in materials homogenization and inverse problems, geometric inverse problems, remote sensing, industrial applications, numerical and regularization methods in inverse problems, and also, invisibility and cloaking. More information of the conference can be found at the website http://aip2015.fips.fi/. The NSF support from this award will allow a financial package for US students and postdocs to participate in the conference and the summer school, and will significantly enhance the ability to recruit an outstanding and diverse group of researchers to work in the area of inverse problems.

摘要（乌尔曼，1500517）：该奖项将支持研究生和博士后研究人员参加2015年应用逆问题（AIP 2015），将于2015年5月25日至29日在芬兰赫尔辛基举行，以及5月19日至22日在赫尔辛基举行的暑期学校，AIP 2015是AIP系列会议之一，旨在为从事反问题各个方面的学术和工业研究人员提供主要的国际论坛，如数学建模，分析和几何方法，计算方法，它将涵盖反问题的广泛应用，重点是医学成像的最新发展，材料均匀化和反问题中缺陷的确定，几何反问题，遥感，工业应用，反问题中的数值和正则化方法，以及不可见性和隐身。有关会议的更多信息，请访问网站http://aip2015.fips.fi/。该奖项的NSF支持将允许美国学生和博士后参加会议和暑期学校的财务计划，并将显着提高招募优秀和多样化的研究人员在反问题领域工作的能力。