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

这个综合研究生教育和研究培训（IGERT）奖支持在无线智能传感器网络（WISeNet）在杜克大学的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，包括生态学、地球科学、机器人技术和人工智能。 智力优势：该计划为学生提供跨学科的培训，使他们能够对无线传感器网络的新型智能方法和算法进行研究。 主题基础是开发智能传感器，处理，存储和从数据中学习，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使用传感器来保护国防和国家安全。 在与外部和国际合作者的顾问委员会合作，WISeNet教师和学生将迅速转移到课程的研究成果，并开发直接支持WISeNet研究目标的综合计算工具。 该计划将与杜克合作？的REU计划和研究生院，以提高多样性。 学生将获得WISeNet研究生证书，其中包括所需的实验室和现场实验;新的跨学科课程;和模拟，可视化和虚拟现实项目。 该计划将开发一个共同的研究和教育经验，为美国博士。IGERT是一个面向全国的项目，旨在培养在传感器网络、环境建模和预测以及计算智能领域工作的科学家和工程师，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。具有跨学科背景的科学家和工程师，在所选学科的深厚知识，以及未来职业需求所需的技术，专业和个人技能。该计划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促进研究生教育的文化变革。

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.