NSF Student Travel Grant for 2018 ACM Conference on Embedded Networked Sensor Systems (ACM SenSys 2018)

嵌入式网络传感器系统会议（SenSys）是由计算机协会（ACM）主办的一个高度选择性的科学论坛。从家庭和办公室的无线传感器到智能基础设施和城市的大规模传感器、网络和数据分析，它成功地创造了构建传感器和智能系统的基础知识和技术。会议汇集了来自无线通信和网络、嵌入式系统和硬件、能量收集和管理、分布式系统和算法、数据管理和应用等领域的研究人员，是初学者和博士生从学科和跨学科的角度介绍该领域的理想场所。该项目的目标是为在美国高等院校就读的博士生参加SenSys 2018提供资金。该项目将使资金不足或属于代表性不足群体的学生能够参加SenSys。学生们不仅可以接触到该领域的顶尖研究人员，还可以与同行建立联系，并在研究中发挥领导作用，开始研究合作。该项目将使来自不同美国高等教育机构的约15名博士生参加SenSys 2018。资助选择委员会将根据参与者的经济需求、研究潜力以及他们从本次会议中受益的能力来选择参与者，同时增加SenSys与会者的多样性。SenSys以及传感和智能系统领域将受益于美国博士生增加的多样性和参与。学生们将受益于接触该领域的领先研究人员，并在SenSys获得更多的网络和合作机会。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The Conference on Embedded Networked Sensor Systems, SenSys, is a highly selective scientific forum sponsored by the Association for Computing Machinery (ACM). It has successfully created fundamental knowledge and technologies to build sensors and smart systems, from wireless sensors in homes and offices to large-scale sensors, networks, and data analytics in smart infrastructures and cities. The conference brings together researchers from the fields of wireless communication and networking, embedded systems and hardware, energy harvesting and management, distributed systems and algorithms, data management, and applications, and is an ideal venue for beginning researchers and PhD students to be introduced to the field from disciplinary and cross-disciplinary perspectives. The goal of this project is to provide funding for attending SenSys 2018 by PhD students who are enrolled in US institutions of higher learning. The project will enable students who are not well-funded or who belong to underrepresented groups to attend SenSys. The students will not only gain exposure to the leading researchers in the field but also network with peers and start research collaborations as they take leadership roles in research.This project will enable approximately 15 Ph.D. students from a diverse group of US institution of higher education to attend SenSys 2018. A grant selection committee will select the participants based on their financial need, research potential, and their ability to benefit from this attendance while increasing diversity among SenSys attendees. SenSys and the field of sensing and smart systems will benefit from this increased diversity and engagement from the US-based PhD students. The students will benefit from exposure to the leading researchers in the field and with increased networking and collaboration opportunities at SenSys.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.