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CREST: Center for Innovative Information Systems Engineering

CREST: Center for Innovative Information Systems Engineering
CREST:创新信息系统工程中心
批准号:
0833093
负责人:
Naphtali Rishe
金额:
$500.0万
依托单位国家:
美国
项目类别:
Cooperative Agreement
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-01 至 2016-12-31

项目摘要

项目成果

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中文摘要
翻译
佛罗里达国际大学?(事业单位?5)美国国家科学基金会(NSF) CREST创新信息系统工程中心提议的第二阶段汇集了多学科研究人员、大规模合作关系和广泛的合作伙伴生态系统,开展研究,将导致有助于解决国家优先考虑的关键社会问题的信息技术。智力优势:各中心?我们的子项目相互支持,建立在国际金融大学建立的强大研究基础之上。他们都设定了雄心勃勃的研究目标,这些目标将提高FIU的竞争力。CISE的研究人员说。通过将这些多学科研究目标与CREST?我们的综合教育环境,并利用上述协同学术和行业合作伙伴关系,子项目相互提供强大的凝聚力和潜力,以取得新的研究成果和教育突破。通过解决存储优化、数据管理、索引和搜索、查询技术和数据表示等问题,将重点开发有效的技术,管理和提供对不同类型、来源、位置、时间和确定性的数据的访问。在其应用程序中,它寻求开发技术,以便在正确的时间向正确的人提供正确的信息,从而帮助减轻灾难并迅速从灾难中恢复过来。子项目2:神经科学信息处理的综合方法侧重于综合成像/信号处理方法,该方法将通过更快、负担得起、更有效、侵入性更小的方法,更深入、更详细地全面观察人类大脑。子项目3:通用访问的人机交互有一个长期目标,即使任何潜在的计算机用户能够与基于计算机的系统进行交互,而不管他们的残疾状况如何,也不管交互发生的环境所带来的交互挑战如何。子项目4:复杂系统建模、分析和实现将集中于复杂系统建模的基本方法、统一的底层语义模型、组合模型分析的基本方法,以及模型驱动的工程技术。更广泛的影响:该中心将建立在FIU第一阶段CREST资助的坚实研究基础和蓬勃发展的教育管道上。它的研究计划将开发有效的技术来管理信息,建模信息,自然和人为的系统,并提供获取信息的途径,而它的教育计划努力成为国家?美国在培养计算机科学和计算机工程领域代表性不足的博士生方面处于领先地位。建议的研究领域跨越计算机科学与工程、信息处理、态势感知、辅助技术和神经科学的界限;这种综合的研究方法将显著推进这些重要领域的知识体系,并将在解决一些社会问题方面取得重大进展。关键问题。
英文摘要
Florida International University?s (FIU?s) proposed second-phase NSF CREST Center for Innovative Information Systems Engineering brings together a multidisciplinary group of researchers, large-scale collaborative relationships, and a broad ecosystem of partners to perform research that will lead to information technologies that help to solve critical societal problems of national priority. Intellectual Merit: Each of the Center?s mutually-supportive subprojects builds on the strong research foundation established by FIU?s first-phase CREST award and each sets ambitious research goals that will result in the increased competitiveness of FIU?s CISE researchers. By intertwining these multidisciplinary research goals with CREST?s comprehensive education environment and by leveraging the synergistic academic and industry partnerships introduced above, the Subprojects provide one another with strong impetus for cohesiveness and potential for new research findings and educational breakthroughs: Subproject 1: Effective Access to Complex Multimodal Data with Applications in Disaster Mitigation will focus on developing effective techniques for managing and providing access to data that varies in type, source, location, time, and certainty by addressing storage optimization, data management, indexing and search, query techniques, and data presentation. Among its applications, it seeks to develop techniques to get the right information to the right people at the right time, thereby helping to mitigate disasters and to recover from them quickly. Subproject 2: Integrated Approach to Information Processing in Neuroscience focuses on an integrated imaging/signal processing approach that will result in comprehensive views of the human brain in greater depth and detail through faster, affordable, more effective, and less invasive methods. Subproject 3: Human Computer Interaction for Universal Access has a long-term goal of enabling any prospective computer user to interact with computer-based systems, regardless of their disability status and regardless of the interaction challenges derived from the context in which the interaction is taking place. Subproject 4: Complex System Modeling, Analysis, and Realization will focus on essential methodologies for modeling complex systems, a unified underlying semantic model, fundamental methods for compositional model analysis, and model-driven engineering technologies. Broader Impacts: The Center will build upon the solid research foundation and flourishing educational pipeline developed over the course of FIU's first-phase CREST funding. Its research program will develop effective techniques for managing information, for modeling information, natural, and man-made systems, and for providing access to information while its educational program strives to become the nation?s leader in training underrepresented Ph.D. students in Computer Science and Computer Engineering. The proposed research areas cross the boundaries of computer science and engineering, information processing, situational awareness, assistive technology, and neuroscience; this integrative approach of research will significantly advance the body of knowledge in these important fields and will make strides to solving some of society?s critical problems.
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