IUCRC Phase I University of Miami: Center for Accelerated Real Time Analytics (CARTA)

IUCRC 第一阶段迈阿密大学：加速实时分析中心 (CARTA)

• 批准号: 2051800
• 负责人: Mitsunori Ogihara
• 金额: $ 30万
• 依托单位: University of Miami
• 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: 2021-05-01 至 2024-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2051800&HistoricalAwards=false
• 关键词: IUCRC; Phase; University; Miami; Center

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.

CARTA(Center for Accelerated Real-Time Analytics)是一个成立于2018年的多校产学合作研究中心。随着更多产生实时数据的设备的部署，人们需要的不仅仅是存储和归档未来使用的数据的技术。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。迈阿密大学将作为一个新的合作伙伴加入CARTA(称为“CARTA迈阿密”)，支持CARTA的使命，并扩大CARTA的研究范围。Carta Miami的实时分析研究将集中在神经科学、信号处理、物联网、遗传学、无人机和营销方面。最初的研究项目将集中在a)使用来自便携式脑电系统的实时脑电反馈来产生音乐建议以控制情绪，b)将捕获的实时音频和视频与无人机相结合以检测异常，c)将遗传信息添加到实时产品推荐中，d)向购物者提供实时建议，以及e)在智能家居中收集物联网信号以做出实时决策。Carta Miami将利用该大学数据科学与计算研究所提供的高性能计算。《迈阿密宪章》将为研究生提供一个独特的机会来提高他们的研究和沟通技能。他们将参与与行业合作伙伴的合作研究。这段经历将教会研究生如何在工业研发领域取得成功，这对他们的职业生涯至关重要。此外，行业合作伙伴可以通过在CARTA探索新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、会议演示和报告来交流其活动。在CARTA的所有合作伙伴站点，私营行业合作伙伴的数据都是保密的。Carta有一个为期6个月的中心范围的禁运政策。迈阿密宪章遵循这一中心范围的政策。根据这项政策，在迈阿密大学实施6个月的禁运后，在Carta Miami产生的公开数据将通过迈阿密大学的数据库提供。感兴趣的研究人员，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在存储库中的数据的副本。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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

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）

• 发表时间: 2022
• 期刊: Proceedings of the VLDB Endowment
• 影响因子: 2.5
• 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
• 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