REU Site: BIGDatA - Big Data Analytics for Cyber-physical Systems

REU 网站：BIGDatA - 网络物理系统的大数据分析

• 批准号: 1950121
• 负责人: Huiping Cao
• 金额: $ 40.46万
• 依托单位: New Mexico State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-03-01 至 2024-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1950121&HistoricalAwards=false
• 关键词: REU; Site; BIGDatA; Big; Data; REU; Site; BIGDatA; Big; Data

The funding renews a Research Experience for Undergraduates (REU) Site at New Mexico State University. Undergraduate students will participate in summer research projects guided by faculty research mentors using state-of-the-art labs and facilities. Cyber-physical systems are real-world systems, such as automotive systems, medical systems, smart homes, and manufacturing systems, that have computer algorithms and software monitoring and controlling them. These systems generate large amounts data that is complex and diverse. Big data analytics are essential to effectively use, protect, and enhance most cyber-physical systems. The REU students will participate in a variety of activities including team-based research projects, training workshops, field trips, conference participation, and other professional development opportunities that will prepare them for research in the timely and important field of big data for cyber-physical systems and prepare them for future careers as computing professionals.The project is led by researchers currently exploring aspects of big data and cyber-physical systems. The research explores big data analytics for cyber-physical systems in three intertwined dimensions: systems and architectures, models and algorithms, and visualization. The research spans four application areas including unmanned systems, smart grids, wireless sensor networks, and smart homes. The goals of the project include: motivating and solidifying students’ interest in computer science and in big data analytics and security for cyber-physical systems; providing students with problem solving and research skills; equipping students with knowledge of data management and data analytics techniques; enhancing self-confidence and self-efficacy of the student participants; equipping students with professional knowledge and skills including communication, teamwork, and ethics; and broadening participation in computing and the computing workforce.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.

这笔资金恢复了新墨西哥州立大学的本科生（REU）网站的研究经验。本科生将使用最先进的实验室和设施的教师研究导师指导的夏季研究项目。网络物理系统是现实世界中的系统，例如汽车系统，医疗系统，智能家居和制造系统，它们具有计算机算法和软件监视和控制它们。这些系统生成了复杂且潜水员的大量数据。大数据分析对于有效使用，保护和增强大多数网络物理系统至关重要。 REU学生将参加各种活动，包括基于团队的研究项目，培训研讨会，实地考察，会议参与以及其他专业发展机会，这些机会将为他们准备在网络物理系统的大数据的及时，重要领域的研究中做好准备。该研究探索了三个相互交织的维度：系统和体系结构，模型和算法以及可视化的网络物理系统的大数据分析。研究涵盖了四个应用领域，包括无人系统，智能电网，无线传感器网络和智能家居。该项目的目标包括：动机和巩固学生对计算机科学以及对网络物理系统的大数据分析和安全性的兴趣；为学生提供解决问题和研究技能；为学生提供数据管理和数据分析技术知识；增强学生参与者的自信心和自我效能；为学生提供专业知识和技能，包括沟通，团队合作和道德；并扩大了计算和计算劳动力的参与。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子优点和更广泛的影响审查标准来评估诚实的支持。