Seventh International Conference on Computational Harmonic Analysis

第七届国际计算谐波分析会议

• 批准号: 1760991
• 负责人: Alexander Powell
• 金额: $ 1.5万
• 依托单位: Vanderbilt University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1760991&HistoricalAwards=false
• 关键词: Seventh; International; Conference; Computational; Harmonic

The Seventh International Conference on Computational Harmonic Analysis (ICCHA7) will take place at Vanderbilt University in Nashville, TN during May 14-18, 2018, in conjunction with the 33rd Annual Shanks Conference and Lecture. The conference website https://my.vanderbilt.edu/iccha7 contains a list of the conference plenary speakers and other conference information. Computational harmonic analysis is a fundamental tool for analyzing and representing information, and is especially motivated by modern applications where data has complex structure and massively high dimension. Applications of computational harmonic analysis include many areas of national technological interest such as data science, neural networks and artificial intelligence, medical imaging, radar signal processing, coding theory, and quantum computing. The conference will discuss the most recent theoretical breakthroughs, practical advances, and emerging directions in computational harmonic analysis. The plenary speakers include a diverse assortment of experts, and female and early career scientists are well-represented. An important broader impact of the conference is to support the participation of students, early career scientists, and underrepresented minorities; the conference will make a particular effort to invite and provide travel support to members of these groups. Travel support will be strongly prioritized to those without other sources of travel funding, so as to make the conference accessible those who would not otherwise be able to attend. This will contribute to expanding and diversifying the nation's talent pool and workforce in the mathematical sciences by contributing to the training of underrepresented groups in STEM fields.Specific technical topics addressed at the conference will include, but are not limited to: compressed sensing, phase retrieval, convolutional neural networks, wavelets and multiscale transforms, frame theory, graph-based signal processing, time-frequency analysis, analog-to-digital conversion, signal and image processing, quantum computation, and mathematical learning theory. A main intellectual merit of the conference is to provide a venue to disseminate recent advances in computational harmonic analysis. The conference will consist of plenary talks, as well as shorter talks and minisymposia in parallel sessions. There will be numerous opportunities for mathematical interaction and collaboration among the participants. The conference will provide an interdisciplinary link between mathematicians, engineers, and scientists from other fields who are working on computational harmonic analysis.

第七届国际计算谐波分析会议（ICCHA7）将于2018年5月14日至18日在田纳西州纳什维尔的范德比尔特大学与第33届年度Shanks会议和演讲结合。会议网站https://my.vanderbilt.edu/iccha7包含会议扬声器和其他会议信息的列表。 计算谐波分析是用于分析和表示信息的基本工具，并且特别是由数据具有复杂结构和大量尺寸的现代应用所激发的。 计算谐波分析的应用包括国家技术兴趣的许多领域，例如数据科学，神经网络和人工智能，医学成像，雷达信号处理，编码理论和量子计算。 会议将讨论计算谐波分析中最新的理论突破，实际进步和新兴方向。 全体演讲者包括各种各样的专家，女性和早期职业科学家的代表性很好。 会议的一个重要的广泛影响是支持学生，早期职业科学家和代表性不足的少数民族的参与；会议将特别努力邀请并向这些团体成员提供旅行支持。 旅行支持将对没有其他旅行资金来源的人进行大力优先考虑，以使会议可以访问原本无法参加的人。 这将有助于通过培训STEM领域中代表性不足的群体的培训来扩大和多样化在数学科学中的人才库和劳动力。转换，信号和图像处理，量子计算和数学学习理论。 会议的主要知识优点是提供一个场地，以传播计算谐波分析的最新进展。 会议将包括全体会议，以及在平行会议上较短的谈判和迷你典礼。 参与者之间的数学互动和协作将有很多机会。 该会议将提供来自从事计算谐波分析的其他领域的数学家，工程师和科学家之间的跨学科联系。