IUCRC Phase I University of Miami: Center for Accelerated Real Time Analytics (CARTA)
IUCRC Phase I University of Miami: Center for Accelerated Real Time Analytics (CARTA)
批准号:
2051800
负责人:
Mitsunori Ogihara
金额:
$30.0万
依托单位:
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
项目状态:
已结题
起止时间:
2021-05-01 至 2024-04-30
中文摘要
CARTA(Center for Accelerated Real-time Analytics)是一个由多所大学组成的产学合作研究中心,成立于2018年。随着越来越多的设备被部署来产生实时数据,人们需要的不仅仅是存储和归档未来使用数据的技术。CARTA旨在通过利用人工智能和机器学习来开发此类技术,这将对科学,工程,医学,营销和金融等广泛领域产生影响。迈阿密大学将作为新的合作伙伴网站(称为“CARTA迈阿密”)加入CARTA,支持CARTA的使命,并扩大CARTA的研究范围。CARTA迈阿密的实时分析研究将专注于神经科学、信号处理、物联网、遗传学、无人机和营销。最初的研究项目将集中在a)使用便携式EEG系统的实时EEG反馈来产生控制情绪的音乐建议,B)结合无人机捕获的实时音频和视频来检测异常,c)将遗传信息添加到实时产品推荐中,d)向购物者提供实时推荐,以及e)收集智能家居中的物联网信号以做出实时决策。CARTA迈阿密将利用该大学数据科学与计算研究所提供的高性能计算。CARTA迈阿密将为研究生提供一个独特的机会,以提高他们的研究和沟通技巧。他们将参与与工业伙伴的合作研究。这些经验将教会研究生如何在工业研发中取得成功,这对他们的职业生涯至关重要。此外,工业合作伙伴可以通过在CARTA探索新的想法来扩大他们的研究组合。由于CARTA是一个多站点中心,跨站点共享信息可以为其合作伙伴和学生带来额外的好处。该网站将通过研究出版物、会议报告和报告来宣传其活动。在CARTA的所有合作伙伴网站,私人行业合作伙伴的数据是保密的。CARTA有一个为期6个月的中心范围内的禁运政策。CARTA迈阿密遵循这一中心范围的政策。根据该政策,在CARTA迈阿密产生的公开数据将在6个月的禁运后通过迈阿密大学的数据储存库提供。有兴趣的研究人员,无论是CARTA成员还是非CARTA成员,都可以通过电子邮件请求存储库中存储的数据的副本。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。
英文摘要
CARTA (Center for Accelerated Real-time Analytics) is a multi-university Industry-University Cooperative Research Center that started in 2018. As more devices are deployed that produce real-time data, technologies beyond simply storing and archiving future use data are in demand. CARTA aims at developing such techniques by exploiting artificial intelligence and machine learning, which would make an impact on a wide range of areas, including science, engineering, medicine, marketing, and finances. University of Miami will join CARTA as a new partner site (called “CARTA Miami”), support the mission of CARTA, and expand the scope of research of CARTA. The real-time analytics research at CARTA Miami will be focused on neuroscience, signal processing, IoT, genetics, UAVs, and marketing. Initial research projects will focus on a) using real-time EEG feedback from portable EEG systems to produce music recommendations for controlling mood, b) combining real-time audio and video captured with UAVs to detect anomaly, c) adding genetic information to real-time product recommendation, d) delivering real-time recommendations to shoppers, and e) collecting IoT signals in smart homes to make real-time decisions. CARTA Miami will leverage the high-performance computing available at the Institute for Data Science and Computing at the University. CARTA Miami will offer a unique opportunity for graduate students to improve their research and communication skills. They will participate in collaborative research with industrial partners. The experience will teach the graduate students how to succeed in industrial R&D, which is essential for their careers. Furthermore, the industrial partners can expand their research portfolio by exploring new ideas at CARTA. Because CARTA is a multi-site center, sharing of information across sites can bring additional benefits to both its partners and students. The site will communicate its activities through research publications, conference presentations, and reports. At all partner sites of CARTA, the private industry partner data is kept confidential. CARTA has a center-wide 6-month embargo policy. CARTA Miami follows this Center-wide policy. Under the policy, publicly-available data generated at CARTA Miami will be made available after a 6-month embargo through the University of Miami’s data repository. Interested researchers, both CARTA members and non-CARTA members, may request copies of data stored in the repository via email.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.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
ONe Index for All Kernels (ONIAK): A Zero Re-Indexing LSH Solution to ANNS-ALT (After Linear Transformation)
ONe Index for All Kernels (ONIAK):ANNS-ALT 的零重新索引 LSH 解决方案(线性变换后)
DOI:
--
发表时间:
2022
期刊:
Proceedings of the VLDB Endowment
影响因子:
2.5
作者:
[Jingfan Meng, Huayi Wang]
通讯作者:
Jingfan Meng, Huayi Wang
Apply Trust Computing and Privacy Preserving Smart Contracts to Manage, Share, and Analyze Multi-site Clinical Trial Data
应用信任计算和隐私保护智能合约来管理、共享和分析多站点临床试验数据
DOI:
10.1007/978-3-031-16035-6_1
发表时间:
2022
期刊:
Lecture notes in networks and systems
影响因子:
--
作者:
[Wu, Y., Liu, C., Sebald, L., Nguyen, P., Yesha, Y.]
通讯作者:
Yesha, Y.
Challenges and Issues in Data Science Education
数据科学教育的挑战和问题
DOI:
10.1109/mc.2021.3128734
发表时间:
2022
期刊:
Computer
影响因子:
2.2
作者:
[Bonnell, Jerry, Ogihara, Mitsunori, Yesha, Yelena]
通讯作者:
Yesha, Yelena
IUCRC Phase II University of Miami: Center for Accelerated Real Time Analytics (CARTA)
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批准号:2310807
-
项目类别:Continuing Grant
-
资助金额:$50.0万
-
财政年份:2023
-
负责人:Mitsunori Ogihara
-
依托单位:
EAGER: An integrative approach to exploration of dynamic protein-protein interaction networks in human platelets
-
批准号:0958490
-
项目类别:Standard Grant
-
资助金额:$25.0万
-
财政年份:2009
-
负责人:Mitsunori Ogihara
-
依托单位:
Integrated Undergraduate Computational Biology Program
-
批准号:9980943
-
项目类别:Standard Grant
-
资助金额:$16.25万
-
财政年份:2000
-
负责人:Mitsunori Ogihara
-
依托单位:
CAREER: Foundations of DNA Computing
-
批准号:9701911
-
项目类别:Continuing Grant
-
资助金额:$20.0万
-
财政年份:1997
-
负责人:Mitsunori Ogihara
-
依托单位:
国内基金
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