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Research Training Group in Applied Differential Equations and Scientific Computing (EMSW21-RTG)

Research Training Group in Applied Differential Equations and Scientific Computing (EMSW21-RTG)
应用微分方程和科学计算研究培训组(EMSW21-RTG)
批准号:
0601395
负责人:
Andrea Bertozzi
金额:
$132.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-07-01 至 2012-06-30

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中文摘要
翻译
加州大学洛杉矶分校有一个独特的环境,促进年轻研究人员的职业生涯。 在应用数学,包括图像处理,材料科学和流体动力学的最先进的研究国家是与一个充满活力的研究生和博士后群体的充分参与开发。我们建议在此基础上,为本科和早期研究生阶段的年轻学生提供特殊的培训和指导经验。该计划将在五年内支持来自UCLA和Harvey Mudd College的多达60名REU学生。拟议的研究项目包括犯罪数据的时空模式分析,泥浆流的实验和分析,图像处理和机器人车辆的协同控制。另外一组15名博士生,在他们的职业生涯的早期阶段,将开发应用数学的研究生涯。这些学生将有机会与其他部门的教师以及行业和国家实验室一起参加暑期实习项目。 学生将获得额外的培训,在计算以及数学分析技能,必要的成功,在一个顶级的博士课程。研究人员提出了一个研究培训计划,以提高劳动力的美国公民和永久居民进入研究应用和计算微分方程。 该计划是专为本科生和研究生在研究生涯的早期部分。 他们将在沉浸式研究环境中与教师导师一对一和小型研究小组一起研究前沿研究问题。 该计划将在五年内支持来自加州大学洛杉矶分校和哈维穆德学院的多达60名REU学生。这些学生将有机会成为大型研究型大学研究团队的一员。拟议的研究项目包括洛杉矶犯罪建模、泥石流的实验室和数学研究、医学成像以及自动驾驶车辆的协调和跟踪。此外,多达15名博士生,在他们的职业生涯的早期,将参加这个计划,其中包括夏季研究生实习项目与教师从其他部门和行业和国家实验室。 该计划的所有学生都将有机会参加新的课程活动,旨在发展在计算和应用数学顶级博士课程中取得成功所需的数学和计算背景。
英文摘要
UCLA has a unique environment for advancing the careers of young researchers. State of the art research in applied mathematics, including image processing, materials science, and fluid dynamics is developed with full participation of a vibrant group of graduate students and postdocs. We propose to build on this program to provide an exceptional training and mentoring experience for younger students at the undergraduate and early graduate level. This program will support, over five years, up to 60 REU students from both UCLA and Harvey Mudd College. Proposed research projects include spatio-temporal pattern analysis in crime data, experimental and analysis of slurry flows, imaging processing, and cooperative control of robotic vehicles. An additional group of 15 PhD students, in the early stages of their career, will develop a research career in applied mathematics. These students will have the opportunity to participate in summer internship projects with faculty from other departments and with industry and national laboratories. Students will receive additional training in computation as well as mathematical analysis skills necessary to succeed in a top PhD program.The investigators propose a research training program to enhance the workforce of US citizens and permanent residents entering research study applied and computational differential equations. This program is designed for undergraduate students and graduate students in the early part of a research career. They will work both one-on-one and in small research groups with faculty mentors on cutting edge research problems in an immersive research environment. This program will support, over five years, up to 60 REU studentsfrom both UCLA and Harvey Mudd College. These students will have the opportunity to be part of a research team in a large research university. Proposed research projects include modeling of crime in Los Angeles, laboratory and mathematical studies of mud slides, medical imaging, and coordination and tracking of autonomous vehicles. In addition, up to 15 PhD students, in the early part of their careers, will participate in this program, which includes summer graduate internship projects with faculty from other departments and with industry and national laboratories. All students in the program will have the opportunity to participate in new curricular activities aimed at developing the mathematical and computational background necessary to succeed in a top PhD program in computational and applied mathematics.
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Collaborative Research: RAPID: Rapid computational modeling of wildfires and management with emphasis on human activity
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    2345256
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.0万
  • 财政年份:
    2023
  • 负责人:
    Andrea Bertozzi
  • 依托单位:
ATD: Active Learning Activity Detection in Multiplex Networks of Geospatial-Cyber-Temporal Data
  • 批准号:
    2318817
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.0万
  • 财政年份:
    2023
  • 负责人:
    Andrea Bertozzi
  • 依托单位:
Collaborative Research: Differential Equations Motivated Multi-Agent Sequential Deep Learning: Algorithms, Theory, and Validation
  • 批准号:
    2152717
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.0万
  • 财政年份:
    2022
  • 负责人:
    Andrea Bertozzi
  • 依托单位:
RAPID: Analysis of Multiscale Network Models for the Spread of COVID-19
  • 批准号:
    2027438
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.0万
  • 财政年份:
    2020
  • 负责人:
    Andrea Bertozzi
  • 依托单位:
海外基金