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: 1559723
• 负责人: Huiping Cao
• 金额: $ 35.92万
• 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: 2016
• 资助国家: 美国
• 起止时间: 2016-03-01 至 2019-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1559723&HistoricalAwards=false
• 关键词: REU; Site; BIGDatA; Big; Data

NON-TECHNICAL SUMMARYThis Research Experience for Undergraduate (REU) site will support NSF's mission to promote progress of science by introducing big data analytics in Cyber-physical Systems (CPS) to undergraduate students, helping advance the state of art, and preparing them for the future scientific workforce. The site's objectives include (i) motivating and solidifying students' interest in Computer Science (CS) in general, and big data analytics in particular; (ii) providing students with problem solving skills for conducting research in big data analytics and for presenting scientific findings verbally and in writing; (iii) equipping students with working knowledge of applying data management and data analytics techniques, by involving students in research projects related to different aspects of CPS; (iv) enhancing self-confidence and self-efficacy of participants, by creating a sense of belonging to a diverse community; and (v) broadening participation in computing, and contributing to diversify the computing workforce. The research outcome will advance the state of the art of big data analytics and push the research agenda of utilizing big data techniques for CPS. The REU site will reach undergraduate students beyond the New Mexico State University (NMSU) campus and train workforce for big data analytics in CPS. Special emphasis will be placed on recruiting underrepresented students nationwide. The participating students will be mentored by the site researchers to disseminate their research projects' findings via professional conferences and through the REU site website. TECHNICAL SUMMARY: The goal of this REU site initiative is to inspire and prepare undergraduate students to pursue careers in STEM with a focus on big data analytics for Cyber-physical Systems (CPS). PI's propose research projects to explore big data analytics for CPS in three intertwined layers: (L1) systems and architecture, (L2) models and algorithms, and (L3) visualization, spanning across four CPS application areas including smart grids, wireless sensor networks, smart homes for elderly and disabled, and disaster response. The planned student activities include: (i) team-based research activities on focused research projects, (ii) creation of cohorts, which will engage in training workshops, to develop research skills and to prepare for graduate schools, (iii) field trips to companies, and local and national labs to broaden students' research horizon, (iv) workshop and conference participation to present research findings, and (v) mentoring by faculty members and interaction with other student researchers. The proposed research outcome has the potential to advance the operation, protection, and utility of CPS. The research activities in the projects will equip student participants with skills and knowledge related to both big data analytics and CPS. The training workshops will help students develop research skills and their career paths. The field trips will broaden participants' understanding about data analytics research for CPS.

非技术总结这个面向本科生的研究体验(REU)网站将支持NSF的使命，通过向本科生介绍网络物理系统(CPS)中的大数据分析，帮助提高技术水平，并为他们未来的科学劳动力做好准备，从而促进科学进步。该网站的目标包括(I)激发和巩固学生对一般计算机科学(CS)，特别是大数据分析的兴趣；(Ii)为学生提供进行大数据分析研究和口头和书面陈述科学结果的解决问题的技能；(Iii)通过让学生参与与CPS不同方面相关的研究项目，使学生掌握应用数据管理和数据分析技术的实用知识；(Iv)通过建立对不同社区的归属感，增强参与者的自信和自我效能；以及(V)扩大对计算的参与，促进计算劳动力的多样化。研究成果将推动大数据分析技术的发展，推动利用大数据技术进行CPS的研究议程。REU网站将覆盖新墨西哥州州立大学(NMSU)校区以外的本科生，并为CPS的大数据分析培训劳动力。将特别重视在全国范围内招收代表性不足的学生。参与的学生将在现场研究人员的指导下，通过专业会议和REU网站传播他们的研究项目成果。技术摘要：该REU站点计划的目标是激励和准备本科生在STEM从事职业生涯，重点是网络物理系统(CPS)的大数据分析。PI提出的研究项目将在三个相互交织的层面探索CPS的大数据分析：(L1)系统和架构，(L2)模型和算法，以及(L3)可视化，横跨智能电网、无线传感器网络、面向老年人和残疾人的智能家居以及灾难应对等四个CPS应用领域。计划的学生活动包括：(I)针对重点研究项目的团队研究活动；(Ii)建立队列，参与培训研讨会，发展研究技能，并为研究生院做准备；(Iii)实地考察公司以及地方和国家实验室，以拓宽学生的研究视野；(Iv)参加研讨会和会议，介绍研究成果；以及(V)由教员指导，并与其他学生研究人员互动。所提出的研究成果有可能促进CPS的运行、保护和利用。项目中的研究活动将使学生参与者掌握与大数据分析和CPS相关的技能和知识。培训工作坊将帮助学生发展研究技能和他们的职业道路。实地考察将扩大参与者对CPS数据分析研究的理解。