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

这个本科生研究体验（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）中的大数据分析来促进科学进步，帮助提高艺术水平，并为未来的科学劳动力做好准备。该网站的目标包括：(i)激发和巩固学生对计算机科学（CS）的兴趣，特别是大数据分析；（ii）为学生提供解决问题的技能，以进行大数据分析研究，并以口头和书面形式展示科学发现；（iii）让学生参与与CPS不同范畴有关的研究项目，使他们具备应用数据管理和数据分析技术的工作知识；（iv）透过建立对多元化社会的归属感，提高参加者的自信心和自我效能感；(v)扩大参与电脑业，使电脑业人员多元化。该研究成果将推动大数据分析的发展，并推动将大数据技术用于CPS的研究议程。REU网站将面向新墨西哥州立大学（NMSU）校园以外的本科生，并为CPS的大数据分析培训劳动力。将特别强调在全国范围内招收代表性不足的学生。参与研究的学生将在网站研究人员的指导下，通过专业会议和REU网站传播他们的研究项目成果。技术概述：这个REU网站计划的目标是激励和准备本科生从事STEM职业，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，跨越四个CPS应用领域，包括智能电网，无线传感器网络，老年人和残疾人智能家居，以及灾难响应。计划的学生活动包括：(i)以团队为基础的研究活动，重点研究项目；（ii）创建小组，参与培训讲习班，发展研究技能，为研究生院做准备；（iii）实地考察公司，本地和国家实验室，以扩大学生的研究视野；（iv）研讨会和会议参与，以展示研究成果；(v)教师指导和与其他学生研究人员互动。建议的研究成果有可能促进CPS的操作，保护和利用。项目中的研究活动将使学生掌握与大数据分析和CPS相关的技能和知识。培训讲习班将帮助学生发展研究技能和职业发展道路。实地考察将扩大参加者对CPS数据分析研究的认识。

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.