CREST - Center for Multidisciplinary Research Excellence in Cyber-Physical Infrastructure Systems (MECIS)

CREST - 网络物理基础设施系统多学科卓越研究中心 (MECIS)

• 批准号: 2112650
• 负责人: Constantine Tarawneh
• 金额: $ 500万
• 依托单位: The University of Texas Rio Grande Valley
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2112650&HistoricalAwards=false
• 关键词: CREST; Center; Multidisciplinary; Research; Excellence

Center for Multidisciplinary Research Excellence in Cyber-Physical Infrastructure SystemsThe Centers of Research Excellence in Science and Technology (CREST) program supports the enhancement of research capabilities of minority-serving institutions through the establishment of centers that effectively integrate education and research. CREST promotes the development of new knowledge, enhancements of the research productivity of individual faculty, and an expanded presence of students historically underrepresented in science, technology, engineering, and mathematics disciplines. With National Science Foundation support, The University of Texas Rio Grande Valley (UTRGV) will establish a Center for Multidisciplinary Research Excellence in Cyber-Physical Infrastructure Systems (CIS). The Center addresses current gaps in the planning, design, and operation of CIS by proposing innovative theoretical, computational, experimental, and empirical solutions spanning from micro (molecule)- to macro (system)-scale, which also yield practical solutions valuable for industry. The Center advances and transforms the much-needed research and education at the nexus of automation, sensors, and artificial intelligence (AI), as integral parts of the “NSF’s 10 Big Ideas,” anticipating the revolutionary cyber-physical infrastructure systems. Center research is articulated into three subprojects. The first subproject focuses on future transportation infrastructure which will be transformed by autonomous vehicles and unmanned aerial vehicles. Subproject 2 designs and embeds sensors in cyber-physical infrastructure systems to perform automated tasks and monitor infrastructure health. The third subproject develops effective information technology architectures for big data management and decision making in the design and operation of unmanned aerial vehicles and infrastructure. The Center:• provides undergraduate STEM students with cutting-edge cyber-physical infrastructure systems research experience; • integrates research and education and develops a pathway from High School through graduate programs in STEM; and, • strengthens the institution’s educational and research infrastructure establishing a platform for a doctoral program in engineering thereby contributing to a more diverse scientific workforce. The Center’s research and education activities will develop an underrepresented workforce equipped with the skills to address complex societal problems. The Center will partner with the public and private sectors to advance technology transfer and product development in cyber-physical infrastructure systems.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.

中心的多学科研究卓越的网络物理基础设施systemsThe卓越的研究中心在科学和技术（CREST）计划支持通过建立中心，有效地整合教育和研究的少数民族服务机构的研究能力的增强。 CREST促进新知识的发展，提高个别教师的研究生产力，并扩大历史上在科学，技术，工程和数学学科中代表性不足的学生的存在。 在国家科学基金会的支持下，德克萨斯大学格兰德河谷分校（UTRGV）将建立一个网络物理基础设施系统（CIS）多学科研究卓越中心。该中心通过提出从微观（分子）到宏观（系统）规模的创新理论，计算，实验和经验解决方案，解决了CIS规划，设计和运营方面的现有差距，这也为行业提供了有价值的实用解决方案。该中心推进和改变自动化，传感器和人工智能（AI）的关系急需的研究和教育，作为“NSF的10大想法”的组成部分，预计革命性的网络物理基础设施系统。中心的研究分为三个子项目。 第一个子项目的重点是未来的交通基础设施，这些基础设施将被自动驾驶汽车和无人机改造。 子项目2设计并在网络物理基础设施系统中嵌入传感器，以执行自动化任务并监控基础设施的健康状况。 第三个分项目开发有效的信息技术架构，用于无人驾驶航空器和基础设施的设计和操作中的大数据管理和决策。该中心：·为本科STEM学生提供尖端的网络物理基础设施系统研究经验; ·整合研究和教育，并开发从高中到STEM研究生课程的途径;·加强该机构的教育和研究基础设施，为工程博士课程建立平台，从而为更多样化的科学工作者做出贡献。 该中心的研究和教育活动将培养一支代表性不足的劳动力队伍，他们具备解决复杂社会问题的技能。该中心将与公共和私营部门合作，推动网络物理基础设施系统的技术转让和产品开发。该奖项反映了NSF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。

项目成果

TENALIGN: Joint Tensor Alignment and Coupled Factorization

• DOI: 10.1109/icdm54844.2022.00067
• 发表时间: 2022-11
• 期刊: 2022 IEEE International Conference on Data Mining (ICDM)
• 作者: Yu-Nuo Wu;Uday Singh Saini;Jia Chen;E. Papalexakis

A Conceptual Model-based Systems Engineering (MBSE) approach to develop Digital Twins

用于开发数字孪生的基于概念模型的系统工程 (MBSE) 方法

• DOI: 10.1109/syscon53536.2022.9773869
• 发表时间: 2022
• 期刊: IEEE International Systems Conference (SysCon
• 作者: Lopez, Viviana;Akundi, Aditya
• 通讯作者: Akundi, Aditya

One-to-many matching and section-based formulation of autonomous ridesharing equilibrium

• DOI: 10.1016/j.trb.2021.11.002
• 发表时间: 2022-01
• 期刊: Transportation Research Part B: Methodological
• 作者: Mohamadhossein Noruzoliaee;Bo Zou

Optical properties and simulated x-ray near edge spectra for Y2O2S and Er doped Y2O2S

• DOI: 10.1016/j.mtcomm.2022.104328
• 发表时间: 2022-09
• 期刊: Materials Today Communications
• 影响因子: 3.8
• 作者: N. Dimakis;E. Rodriguez;Kofi Nketia Ackaah-Gyasi;M. Pokhrel

Thermoelectric energy harvesting for wireless onboard rail condition monitoring

• DOI: 10.1080/23248378.2023.2201247
• 发表时间: 2023-04
• 期刊: International Journal of Rail Transportation
• 影响因子: 4
• 作者: H. Foltz;C. Tarawneh;Martin Amaro;Sebastian Thomas;Danna Capitanachi Avila