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

非技术总结本科生（REU）网站的研究经验将支持NSF的使命，通过引入大数据分析在网络物理系统（CPS）的本科生，促进科学的进步，帮助推进艺术的状态，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）透过让学生参与与CPS不同范畴有关的研究项目，让学生掌握应用数据管理和数据分析技术的工作知识;（iv）让参加者对多元化的社区产生归属感，从而增强他们的自信心和自我效能感;及（v）扩阔参与计算工作的人数，并促进计算工作队伍的多元化。研究成果将推进大数据分析的最新技术，并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）校园以外的本科生，并为CPS的大数据分析培训员工。将特别强调在全国范围内招收代表性不足的学生。参与的学生将由现场研究人员指导，通过专业会议和REU网站传播他们的研究项目的结果。技术概要：这个REU网站倡议的目标是激励和准备本科生追求STEM的职业生涯，重点是网络物理系统（CPS）的大数据分析。PI提出的研究项目旨在从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）针对重点研究项目开展以团队为基础的研究活动，（ii）建立小组，参加培训讲习班，发展研究技能，为进入研究生院做准备，（iii）实地考察公司、地方和国家实验室，拓宽学生的研究视野，（iv）参加讲习班和会议，介绍研究成果，及（v）由教职员提供指导，并与其他学生研究员互动。建议的研究成果有可能推进CPS的操作，保护和实用。项目中的研究活动将为学生参与者提供与大数据分析和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道路。实地考察将扩大参与者对CPS数据分析研究的理解。

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.