REU Site: Coordination, Communication, Autonomy: Principles and Technologies
REU Site: Coordination, Communication, Autonomy: Principles and Technologies
批准号:
0755534
负责人:
Gaurav Sukhatme
金额:
$31.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-04-01 至 2012-03-31
中文摘要
IIS - 0755534标题:REU网站:协调,沟通,自治:原则和技术espi: Gaurav Sukhatme和Leana golubchik机构:南加州大学u网站:协调,沟通,自治:原则和技术espi: Gaurav S. Sukhatme机构:南加州大学这个REU网站的目的是培养学生的研究方法,并激发他们对计算机科学研究的热情。预期的影响是,很大一部分学生继续读研究生。学生将与南加州大学计算机科学系的教师导师及其研究生一起工作。一项伦理培训计划和三次对洛杉矶地区当地研究实验室的外部研究访问都在计划之中。一个充满活力的社交项目计划促进社区意识,学生将与南加州大学校园暑期实习项目的参与者互动。通过有原则和严格的现场评估计划,对结果进行正式评估。参与的教师导师在各自的领域都很有建树,涵盖了计算机科学领域的一系列前沿研究课题。参加该项目的学生将有机会参与机器人、代理和人工智能、网络和系统、算法和建模以及软件工程等项目。在机器人领域,项目包括新兴的与社会相关的医疗保健和高危人群机器人领域,用于水和空气污染监测的科学发现的网络机器人,以及类人机器人。智能体和人工智能项目涵盖多智能体系统、规划和学习。网络和系统项目包括网络传感及其在科学应用中的应用、大型网络(如互联网)中可扩展和健壮的路由基础设施、无线传感器网络中的数据传播、互联网的结构特性和高级抽象和分析模型。在算法和建模中,学生可以研究图算法、网络应用、随机算法和网络信息流。最后,项目可用于嵌入式系统的软件体系结构建模和分析,用于体系结构实现和软件可靠性建模的中间件设施。我们特别感兴趣的是吸引南加州大学计算机科学REU网站的三个人群的参与:1。1 .来自传统院校的有学术天赋的学生;女性,和3。未被充分代表的少数民族。
英文摘要
IIS - 0755534 Title: REU Site: Coordination, Communication, Autonomy: Principles and TechnologiesPIs: Gaurav Sukhatme and Leana GolubchikInstitution: University of Southern CaliforniaREU Site: Coordination, Communication, Autonomy: Principles and TechnologiesPI: Gaurav S. Sukhatme Institution: University of Southern CaliforniaThe objective of this REU site is to train students in research methodology and to enthuse them about Computer Science research. The intended impact is that a signicant proportion of the students go on to graduate school. Students will work with faculty mentors and their graduate students at the Computer Science department at the University of Southern California. A training program in ethics is planned as are three external research visits to local research labs in the Los Angeles area. A vibrant social program is planned to facilitate a sense of community wherein students will interact with participants in summer internship programs on the USC campus. A formal assessment of outcomes is planned via a principled and rigorous site evaluation program. The participating faculty mentors are well established in their fields and span a spectrum of cutting edge research topics in Computer Science.Students participating in the program will have a chance to work on projects spanning robotics, agents and artificial intelligence, networks and systems, algorithms and modeling, and software engineering. Within robotics, projects are available in the newly emerging societally relevant area of robotics for healthcare and at- risk populations, networked robotics for scientic discovery covering water and air pollution monitoring, and humanoid robotics. Agents and artificial intelligence projects span multi-agent systems, planning and learning. Networking and systems projects include networked sensing and its use in scientic applications, scalable and robust routing infrastructures in large networks such as the Internet, data dissemination in wireless sensor networks, structural properties of the Internet and high level abstractions and analytical models. Within algorithms and modeling, students may work on graph algorithms, applications to networks, randomized algorithms, and information flow through networks. Finally, projects are available in software architecture modeling and analysis for embedded systems, middleware facilities for architectural implementation and software reliability modeling.We are especially interesting in attracting participation in the USC Computer Science REU site from three populations: 1. academically talented students from traditionally underserved colleges and universities, 2. women, and 3. underrepresented minorities.
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