REU Site: Sensor, Signal and Information Processing Devices and Algorithms

这个为期三年的REU网站将招募和培训9名本科生，每年夏天，让他们在传感器设计的研究工作，包括从传感器系统中提取信息的数学方法的学生培训。 研究人员沿着一组教员顾问将监督一系列综合传感器系统设计的多学科项目。 除了计划中的项目外，该计划的教师领导将为学生组织一系列行业合作培训活动。 该REU具有跨不同研究实验室的多学科协同作用，提供独特的传感器和算法技术。该计划还包括交叉模块，并在公开演讲，政策，标准，道德，专利，SBIR规划和推广研讨会。 年度REU研讨会将培训学生与利益相关者谁可以帮助建立新的标准进行沟通。一个评价单位将利用学术界、工业界和利益攸关方的反馈意见，每年对可再生能源股的目标进行评估。 该计划使少数民族大学参与，以扩大参与和加强招聘。REU将解决与物联网、健康监测和安全中的传感器应用相关的STEM问题。 REU网站的具体目标是：a）通过让学生沉浸在政府和行业研究活动中，向他们介绍一般的研究实践，B）让学生参与传感器设备和相关信息处理方法的集成设计，c）激励学生追求研究事业， d）提供跨领域的技能，包括介绍、开发专利、创业精神，以及提高对社会影响、政策和标准的认识。 REU项目旨在向学生介绍一系列传感器设备设计技术，重点是低功耗电路，柔性电子，MEMS和嵌入式系统。 在同一时期，项目将培训REU学生通过学习和编程机器学习算法，传感器融合方法和解释大数据集的技术来解释传感器数据。

This three year REU site will recruit and train nine undergraduate students each summer and engage them in research endeavors on the design of sensors including student training in mathematical methods for extracting information from sensor systems. The investigators along with a team of faculty advisors will supervise a series of multidisciplinary projects in the design of integrated sensor systems. In addition to the planned projects, the faculty leaders of this program will organize a series of industry collaborative training activities for the students. This REU features multidisciplinary synergies across different research labs that provide access to unique sensor and algorithm technology. The program also includes crosscutting modules, and workshops in public speaking, policy, standards, ethics, patents, SBIR planning, and outreach. Annual REU workshops will train students to communicate with stakeholders who can help establish new standards. An evaluation unit will assess REU goals annually using feedback from academia, industry and stakeholders. The program engages minority colleges to broaden participation and enhance recruitment. The REU will address STEM problems associated with sensor applications in internet of things, health monitoring and security. Specific objectives of the REU site are to: a) introduce students to general research practices by immersing them in government and industry research activities, b) engage students in integrated design of sensor devices and relevant information processing methods, c) motivate students to pursue research careers, d) provide cross cutting skills in presentation, developing patents, entrepreneurship, and building awareness on social implications, policies and standards. The REU projects are designed to introduce students to an array of sensor device design technologies that emphasize low power circuits, flexible electronics, MEMS, and embedded systems. During the same period, projects will train REU students to interpret data from sensors by studying and programming machine learning algorithms, sensor fusion methods, and techniques to interpret big data sets.