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High-Performance Intelligent Data-Science Institute (HIDI)

High-Performance Intelligent Data-Science Institute (HIDI)
高性能智能数据科学研究所 (HIDI)
批准号:
2022981
负责人:
Hoda El-Sayed
金额:
$100.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-05-01 至 2025-04-30

项目摘要

项目成果

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中文摘要
翻译
HBCU-RISE:高性能智能数据科学研究所历史上的黑人学院和大学-科学和工程研究基础设施计划支持在历史上的黑人学院和大学,提供科学和工程学科博士学位的研究能力的发展。受资助的项目在国家科学基金会资助的研究领域有一个统一的重点,与东道部门的长期计划、机构战略计划和使命、扩大机构研究能力的计划以及增加博士生的产量,特别是那些在科学、技术、工程和数学领域代表性不足的博士生。在国家科学基金会的支持下,鲍伊州立大学将建立一个高性能智能数据科学研究所,为就读于鲍伊州立大学计算机科学博士课程的博士生提供服务。该研究所将满足国家对计算机科学领域专业人员和学者日益增长的需求。该研究所将通过增加完成研究生课程并获得计算机科学博士学位的代表性不足的少数民族学生和妇女的数量来加强专业人员的多样性。研究所的研究分为两个研究项目:(1)深度学习算法和高性能计算,用于从暗网中发现网络威胁情报;(2)以人为中心的态势感知和沉浸式分析,用于使用高性能计算进行大数据可视化。第一个项目涉及网络安全漏洞,而第二个项目侧重于数据分析,以支持机器学习和决策。该研究所的统一研究重点是强调高性能计算中的智能数据科学。该项目有三个目标:(1)在鲍伊州立大学计算机科学博士课程中创建一个新的高性能数据分析专业;(二)通过发展学术途径和研究,增加鲍伊州立大学计算机科学博士课程的合格申请人数量为鲍伊州立大学提供数据科学的机会;(3)增加获得计算机科学博士学位的少数民族学生和妇女的人数。该项目每年将招收6名博士生,他们将攻读高性能数据分析专业。该奖项反映了NSF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。
英文摘要
HBCU-RISE: High-Performance Intelligent Data-Science InstituteThe Historically Black Colleges and Universities - Research Infrastructure for Science and Engineering program supports the development of research capability at Historically Black Colleges and Universities that offer doctoral degrees in science and engineering disciplines. Supported projects have a unifying focus in a research area supported by the National Science Foundation, a direct connection to the long-term plans of the host department, institutional strategic plan and mission, and plans for expanding institutional research capacity, as well as increasing the production of doctoral students, especially those underrepresented in science, technology, engineering and mathematics. With National Science Foundation support, Bowie State University will establish a High-Performance Intelligent Data-Science Institute, serving doctoral candidates enrolled at the Bowie State University Computer Science Doctoral program. The institute will address the growing national need for professionals and academics in the field of Computer Science. The Institute will enhance the diversity of professionals by increasing the number of under-represented minority students and women who complete graduate programs and attain a Doctorate in Computer Science. Institute research is organized into two research projects: (1) deep learning algorithms and high-performance computing for cyber threat intelligence discovery from the darknet; and (2) human-centric situational awareness and immersive analytics for big data visualization using high performance computing. The first project deals with cyber security breaches, while the second focuses on data analysis to support machine learning and decision making. The unifying research focus of the Institute is an emphasis on intelligent data-science in high-performance computing.This proposed project has three objectives: (1) create a new specialization in High Performance Data Analytics within the Bowie State University Computer Science Doctoral Program; (2) increase the number of qualified applicants to the Bowie State University Doctor of Computer Science program by developing academic pathways and research opportunities in data science for Bowie State University; (3) increase the number of underrepresented minority students and women who attain a Doctorate in Computer Science. The project will enroll six doctoral candidates per year who will pursue the Specialization in High Performance Data Analytics.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.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Data Visualization of Crime Data using Immersive Virtual Reality
使用沉浸式虚拟现实实现犯罪数据的数据可视化
DOI: --
发表时间: 2022
期刊: in the Engineering Reality of Virtual Reality
影响因子: --
作者: [Aishwarya Reehl, Sharad Sharma]
通讯作者: Aishwarya Reehl, Sharad Sharma
DOI: --
发表时间: 2022
期刊: International journal of intelligent systems and applications in engineering
影响因子: --
作者: [Abdullah Algahtani, Hoda El-Sayed]
通讯作者: Abdullah Algahtani, Hoda El-Sayed
国内基金
海外基金
Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    USHARANI HAREESH GOVINDARA JAN
  • 依托单位: