IGERT: Training Program in Wireless Intelligent Sensor Networks (WISeNet)

IGERT：无线智能传感器网络 (WISeNet) 培训计划

• 批准号: 1068871
• 负责人: Amilcare Porporato
• 金额: $ 273.96万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1068871&HistoricalAwards=false
• 关键词: IGERT; Training; Program; Wireless; Intelligent

This Integrative Graduate Education and Research Traineeship (IGERT) award supports the development of an interdisciplinary graduate training program in Wireless Intelligent Sensor Networks (WISeNet) at Duke University. Recent advancements in wireless sensors are transforming many areas of science and engineering, spanning ecology, geosciences, robotics, and artificial intelligence. Intellectual Merit: This program provides students with an interdisciplinary training that will prepare them to conduct research on novel intelligent methods and algorithms for wireless sensor networks. The thematic basis is the development of intelligent sensors that process, store, and learn from data so as to improve their ability to gather information over time. Broader impacts include unprecedented observation of environmental and ecological processes, and more effective and reliable use of sensors for defense and national security. In collaboration with an Advisory Board of external and international collaborators, WISeNet faculty and students will rapidly transfer research findings into the curriculum, and develop integrated computational tools that directly support the WISeNet research goals. The program will partner with Duke?s REU program and Graduate School to enhance diversity. Students will receive a WISeNet graduate certificate that includes required laboratory and field experiments; new cross-disciplinary courses; and simulation, visualization, and virtual reality projects. The program will develop a common research and educational experience for U.S. Ph.D. scientists and engineers working in the areas of sensor networks, environmental modeling and prediction, and computational intelligence, and provide students with an academic environment and placement opportunities where they can flourish at a global scale.IGERT is an NSF-wide program intended to meet the challenges of educating U.S. Ph.D. scientists and engineers with the interdisciplinary background, deep knowledge in a chosen discipline, and the technical, professional, and personal skills needed for the career demands of the future. The program is intended to catalyze a cultural change in graduate education by establishing innovative new models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries.

这一综合性研究生教育和研究培训(IGERT)奖项支持杜克大学无线智能传感器网络(WISeNet)跨学科研究生培训计划的发展。无线传感器的最新进展正在改变许多科学和工程领域，横跨生态学、地球科学、机器人和人工智能。智力优势：该项目为学生提供跨学科的培训，为他们进行无线传感器网络的新型智能方法和算法的研究做好准备。主题基础是开发处理、存储和学习数据的智能传感器，以提高其随着时间的推移收集信息的能力。更广泛的影响包括对环境和生态过程的前所未有的观察，以及更有效和可靠地将传感器用于国防和国家安全。与外部和国际合作者组成的咨询委员会合作，WISeNet的教职员工和学生将迅速将研究成果转化为课程，并开发直接支持WISeNet研究目标的集成计算工具。该项目将与S公爵项目和研究生院合作，以增强多样性。学生将获得WISeNet研究生证书，其中包括必需的实验室和现场实验；新的跨学科课程；以及模拟、可视化和虚拟现实项目。该计划将为在传感器网络、环境建模和预测以及计算智能领域工作的美国博士科学家和工程师开发共同的研究和教育经验，并为学生提供学术环境和就业机会，使他们能够在全球范围内蓬勃发展。IGERT是一个NSF范围的计划，旨在应对培养具有跨学科背景、选定学科的深厚知识以及未来职业需求所需的技术、专业和个人技能的美国博士科学家和工程师的挑战。该项目旨在通过建立创新的研究生教育和培训新模式，在超越传统学科界限的合作研究的肥沃环境中，催化研究生教育的文化变革。