Conference: NSF Computational Mathematics PI Meeting 2024
会议:2024 年 NSF 计算数学 PI 会议
基本信息
- 批准号:2417818
- 负责人:
- 金额:$ 10万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2024
- 资助国家:美国
- 起止时间:2024-06-01 至 2024-11-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The NSF Computational Mathematics (CompMath) PIs’ meeting is the first such event for over a decade and will be held on July 15 and 16, 2024, at the University of Washington in Seattle. The meeting is open to all with interest in CompMath, with a particular emphasis on attracting current and recent PIs of the CompMath program, as well as early career researchers such as junior professors, postdocs, and Ph.D. students working in CompMath. The meeting aims to achieve three primary goals: (1) Community building in CompMath by bringing together the CompMath community to strengthen and expand the network of NSF-supported PIs. Parallel research sessions serve as a platform to highlight the achievements of the PIs and the CompMath program; (2) Engagement of early career scientists through a poster session designed to highlight their works, activities aimed at the professional development of early career researchers, and travel support for these attendees; (3) A forward-looking report will be compiled by the organizers by leveraging community input that presents an overview of discussions during the meeting and summarizes any strategic community recommendations and outcomes from the meeting focusing on the major achievements of CompMath, current challenges, and exciting new research directions.The CompMath disciplinary program at NSF supports a variety of research endeavors, which include more classical foci of numerical analysis, PDE solving algorithms, and mathematical optimization, along with the more recent and/or nascent subfields of randomized linear algebra, computational imaging, and mathematical aspects of data science and machine learning. Investigators from these subfields indeed attend their own discipline-specific conferences and professional events and also take opportunities to attend meetings in related fields. However, there is a dearth of meeting opportunities between a large collection of researchers who focus on the broad collection of foundational research questions in CompMath. Because the community of PIs supported by project awards from the NSF CompMath program does not have targeted events/conferences where the community broadly meets, the main motivation for this proposal is to organize such a professional meeting. The PI meeting will feature focused presentation sessions where PI’s will highlight their NSF-supported work in the previously described technical research areas.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
NSF计算数学(Compmath)PIS的会议是十多年的首次这样的活动,将于2024年7月15日至16日在西雅图华盛顿大学举行。这次会议向所有人开放,对Compmath感兴趣,特别着重于吸引Compmath计划的当前和最新PI,以及早期的职业研究人员,例如初级教授,PostDocs和Ph.D.。在Compmath工作的学生。会议旨在实现三个主要目标:(1)通过将Compmath Community汇集在一起来加强和扩展NSF支持的PI网络,从而在Compmath中建立社区。并行研究会议是一个平台,以突出PIS和Compmath计划的成就; (2)旨在突出他们的作品的海报会议,旨在强调早期职业研究人员专业发展的活动以及为这些与会者提供旅行支持的活动; (3)组织者将通过利用社区的意见来编写一份前瞻性报告,该报告概述了会议期间的讨论概述,并总结了会议的任何战略社区建议和成果,重点介绍了Compmath的主要成就,当前挑战和令人兴奋的新研究指导。纪律特定的会议和专业活动,还利用机会参加在相关领域的会议。但是,大量研究人员聚集在Compmath中的广泛基础研究问题之间的大量研究人员之间存在机会。由于由NSF Compmath计划获得的项目奖支持的PI社区并非有针对性的事件/会议,因此社区大致相遇,因此该提案的主要动机是组织此类专业会议。 PI会议将以重点的演讲会议为特色,其中PI将在先前描述的技术研究领域中强调其由NSF支持的工作。该奖项反映了NSF的法定任务,并被认为是通过基金会的智力优点和更广泛的影响来通过评估来获得的支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Bamdad Hosseini其他文献
Well-posed Bayesian Inverse Problems: beyond Gaussian priors
适定贝叶斯逆问题:超越高斯先验
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Bamdad Hosseini;N. Nigam - 通讯作者:
N. Nigam
Error Analysis of Kernel/GP Methods for Nonlinear and Parametric PDEs
非线性和参数偏微分方程的核/GP 方法的误差分析
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Pau Batlle;Yifan Chen;Bamdad Hosseini;H. Owhadi;A. Stuart - 通讯作者:
A. Stuart
Kernel Regression Method for Stochastic Real-time State Estimation in Power Grid
电网随机实时状态估计的核回归方法
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
M. Barati;Mohammad Ensaf;Bamdad Hosseini - 通讯作者:
Bamdad Hosseini
A Metropolis-Hastings algorithm for posterior measures with self-decomposable priors
具有可自分解先验的后验测量的 Metropolis-Hastings 算法
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Bamdad Hosseini - 通讯作者:
Bamdad Hosseini
Finding beauty in the dissonance: Analysis and applications of Bayesian inverse problems
- DOI:
- 发表时间:
2017-10 - 期刊:
- 影响因子:0
- 作者:
Bamdad Hosseini - 通讯作者:
Bamdad Hosseini
Bamdad Hosseini的其他文献
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{{ truncateString('Bamdad Hosseini', 18)}}的其他基金
CAREER: Gaussian Processes for Scientific Machine Learning: Theoretical Analysis and Computational Algorithms
职业:科学机器学习的高斯过程:理论分析和计算算法
- 批准号:
2337678 - 财政年份:2024
- 资助金额:
$ 10万 - 项目类别:
Continuing Grant
Machine Learning for Bayesian Inverse Problems
贝叶斯逆问题的机器学习
- 批准号:
2208535 - 财政年份:2022
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
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