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: $ 100万
• 依托单位: Bowie State University
• 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
• 起止时间: 2021-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2022981&HistoricalAwards=false
• 关键词: Performance; Intelligent; Data; Science; Institute

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.

HBCU-RISE：高性能智能数据科学研究所历史悠久的黑人学院和大学-科学和工程研究基础设施项目支持历史悠久的黑人学院和大学的研究能力发展，提供科学和工程学科的博士学位。支持的项目在美国国家科学基金会支持的研究领域有一个统一的重点，与主办部门的长期计划、机构战略计划和使命、扩大机构研究能力的计划直接相关，以及增加博士生的生产，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。在美国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少数族裔学生和妇女完成研究生课程并获得计算机科学博士学位的人数来增强专业人员的多样性。研究所的研究分为两个研究项目：(1)暗网网络威胁情报发现的深度学习算法和高性能计算；(2)以人为中心的态势感知和沉浸式分析，利用高性能计算实现大数据可视化。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高性能数据分析的新专业；(2)通过为鲍伊州立大学开发数据科学的学术途径和研究机会，增加鲍伊州立大学计算机科学博士项目的合格申请者数量；(3)增加少数族裔学生和女性获得计算机科学博士学位的人数。该项目每年将招收六名博士候选人，他们将攻读高性能数据分析专业。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。

项目成果

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

• 发表时间: 2022
• 期刊: in the Engineering Reality of Virtual Reality
• 作者: Aishwarya Reehl, Sharad Sharma

Building a Novel Ensemble Learning – Based Prediction Framework for Diagnosis of Coronary Heart Disease

构建基于集成学习的新型冠心病诊断预测框架

• 发表时间: 2022
• 期刊: International journal of intelligent systems and applications in engineering
• 作者: Abdullah Algahtani, Hoda El-Sayed