Conference: A proposal requesting NSF support for the 15th International Symposium on Particle Image Velocimetry (ISPIV 2023), San Diego, CA, June 19-21, 2023

会议：请求 NSF 支持第 15 届粒子图像测速国际研讨会 (ISPIV 2023) 的提案，加利福尼亚州圣地亚哥，2023 年 6 月 19-21 日

• 批准号: 2243551
• 负责人: Xiaofeng Liu
• 金额: $ 5万
• 依托单位: San Diego State University Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-12-01 至 2024-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2243551&HistoricalAwards=false
• 关键词: Conference; proposal; requesting; NSF; support

The 15th International Symposium on Particle Image Velocimetry (ISPIV 2023) will be hosted on campus of San Diego State University (SDSU) from June 19-21, 2023. Particle Image Velocimetry (PIV), benefited from the advancement in laser, camera, and computer technologies in the past four decades, has gradually evolved since its inception in 1984 into a dominant experimental method for scientific and applied research in fluid mechanics. During the process of the development, the ISPIV conference series have established themselves as the premier fora dedicated to the promotion of the PIV theory and technology. The conference series have been playing an indispensable role as an incubator and booster for scientists and researchers in advancing the state-of-the-art of the technologies on Particle Image Velocimetry. Like the practice in the past, the ISPIV 2023 conference will again bring together leading scientists, researchers, developers and users of Particle Image Velocimetry from all over the world to examine, exchange and discuss all aspects of the latest innovative developments and applications related to Particle Image Velocimetry, with the aim to further advance the state-of-the-art of PIV theory, technology and practice. The proposed conference, featuring 3 keynote lectures and over 200 contributing papers, will provide a comprehensive overview of the current state-of-the-art of PIV, and pave the way for a wide range of new and emerging developments such as machine learning and data assimilation. The meeting will provide an opportunity for students and junior researchers to be educated with the latest developments in the research field of PIV and present their own recent research results at the conference. The meeting will also invite researchers and students from underrepresented groups to present their research results and encourage their full participation and engagement in the conference so as to boost their career growth. The meeting will disseminate research results and promote the research areas through talks, webpages, flyers, posters, and proceedings, thus achieving positive impact to the society. Through encouraging participants’ full engagement and fostering their new connections and collaborations, the symposium will bring lasting impacts on the advancement of Particle Image Velocimetry in the aforementioned areas of applications. Moreover, the symposium will help increase the public scientific literacy and engagement with science and technology through the conference proceedings, news coverage and in-depth interviews carried by both conventional and social media.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.

第15届粒子图像测速国际研讨会（ISPIV 2023）将于2023年6月19日至21日在圣地亚哥州立大学（SDSU）校园举行。粒子图像测速技术（PIV）自1984年诞生以来，得益于激光、相机和计算机技术的进步，已逐渐发展成为流体力学科学和应用研究的主要实验方法。在发展过程中，ISPIV系列会议已成为致力于推广PIV理论和技术的主要论坛。作为科学家和研究人员的孵化器和助推器，该系列会议一直在推动粒子图像测速技术的发展方面发挥着不可或缺的作用。与过去的实践一样，ISPIV 2023会议将再次汇集来自世界各地的粒子图像测速的领先科学家，研究人员，开发人员和用户，以检查，交流和讨论与粒子图像测速相关的最新创新发展和应用的各个方面，旨在进一步推进最先进的PIV理论，技术和实践。本次会议将包括3场主题演讲和200多篇论文，将全面概述当前PIV的发展状况，并为机器学习和数据同化等广泛的新兴发展铺平道路。会议将为学生和初级研究人员提供一个机会，让他们了解PIV研究领域的最新发展，并在会议上展示自己的最新研究成果。会议还将邀请来自代表性不足群体的研究人员和学生介绍他们的研究成果，并鼓励他们充分参与和参与会议，以促进他们的职业发展。会议将通过讲座、网页、传单、海报、论文集等形式，传播研究成果，推广研究领域，对社会产生积极影响。通过鼓励与会者的充分参与和促进新的联系和合作，研讨会将对粒子图像测速在上述应用领域的发展产生持久的影响。此外，研讨会将通过传统媒体和社会媒体的会议记录、新闻报道和深度采访，帮助提高公众的科学素养和对科学技术的参与。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。