IUCRC Phase III + Florida Atlantic University: Center for Advanced Knowledge Enablement

IUCRC 第三阶段佛罗里达大西洋大学：高级知识支持中心

• 批准号: 2231200
• 负责人: Borko Furht
• 金额: $ 25万
• 依托单位: Florida Atlantic University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-03-15 至 2028-02-29
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2231200&HistoricalAwards=false
• 关键词: IUCRC; Phase; III; Florida; Atlantic

The CAKE Center is successfully building a bridge linking academia, industry, and government in a coordinated research initiative, in response to the needs of this region. The Center has the critical mass to serve the information technology industry and to help South Florida IT mature into the top tier. The research focus of the Center is in the field of advanced knowledge enablement with the focus on areas of big data analytics, multimedia and data mining, video and multimedia processing, and cloud computing systems, sensors and networks. Research projects are interdisciplinary in nature with focus on applications in medicine and healthcare, the environment, and other industries. The Center’s mission is to accomplish the following goals: (1) to continuously evolve an understanding of the technology needs of the industry sector through direct contact with industry professionals and related corporations; (2) to identify applied research themes that meet the needs of private and public sectors; and (3) to conduct industry-relevant research.Center’s research agenda includes the creation of new technologies for various web-based applications, next generation hardware and software development techniques and tools, mobile and wireless systems and technologies, video compression and communication technologies and systems, networking and communication systems, data mining and machine learning technologies, and various interdisciplinary initiatives, and applications including medical systems and healthcare informatics.Research outcomes are applicable to many fields, including national defense and homeland security, healthcare, biomedical science, environmental science, entertainment, finance, and technology services. The results of the projects will provide benefits to society in various application areas including medical, healthcare, environmental, public, and others. Proposed research roadmap for Phase III will continue to have an interdisciplinary focus. Educational activities include, reaching out to women, minorities, and underrepresented groups. FAU has a large Under-Represented Minority population, and it is ranked as the most diverse public university in Florida. As IUCRC CAKE continues to grow, the Center will build a cohesive structure spanning multiple institutions by enabling extended research visits for both faculty and graduate students.As part of the program, we will document and describe the process of developing systems and software for individual projects. We will maintain a project repository including data, code, simulators, results of all projects, etc. on a single Center-wide repository for a period of ten years.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.

CAKE中心正在成功地建立一个桥梁，连接学术界，工业界和政府在一个协调的研究计划，以响应该地区的需求。该中心拥有为信息技术行业服务的临界质量，并帮助南佛罗里达IT成熟到顶级水平。该中心的研究重点是先进的知识使能领域，重点是大数据分析，多媒体和数据挖掘，视频和多媒体处理，云计算系统，传感器和网络等领域。研究项目是跨学科的性质，重点是在医药和医疗保健，环境和其他行业的应用。该中心的使命是实现以下目标：（1）通过与行业专业人士和相关企业的直接接触，不断发展对行业技术需求的理解;（2）确定满足私营和公共部门需求的应用研究主题;及（3）进行与行业相关的研究。研究中心的研究议程包括为各种基于Web的应用程序创建新技术，下一代硬件和软件开发技术和工具，移动的和无线系统和技术、视频压缩和通信技术和系统、网络和通信系统、数据挖掘和机器学习技术，以及各种跨学科举措和应用，包括医疗系统和医疗保健信息学。研究成果适用于许多领域，包括国防和国土安全、医疗保健、生物医学科学、环境科学、娱乐、金融、和技术服务。这些项目的成果将在医疗、保健、环境、公共等各个应用领域为社会带来好处。第三阶段的拟议研究路线图将继续以跨学科为重点。 教育活动包括向妇女、少数民族和代表性不足的群体伸出援手。FAU拥有大量的少数民族人口，它被列为佛罗里达最多样化的公立大学。随着IUCRC CAKE的不断发展，该中心将通过为教师和研究生提供扩展的研究访问，建立一个跨越多个机构的有凝聚力的结构。作为该计划的一部分，我们将记录和描述为单个项目开发系统和软件的过程。我们将在一个中心范围的数据库中维护一个项目数据库，包括数据、代码、模拟器、所有项目的结果等，为期十年。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。

项目成果

Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques

• DOI: 10.1186/s40537-024-00890-0
• 发表时间: 2024-02
• 期刊: Journal of Big Data
• 影响因子: 8.1
• 作者: Fangming Qu;Nolan Dang;B. Furht;Mehrdad Nojoumian