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Phase II IUCRC Michigan State University: Center for Identification Technology Research

Phase II IUCRC Michigan State University: Center for Identification Technology Research
第二阶段 IUCCRC 密歇根州立大学:识别技术研究中心
批准号:
1841517
负责人:
Arun Ross
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:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-10-01 至 2024-09-30

项目摘要

项目成果

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中文摘要
翻译
身份识别技术研究中心(CITER)是一个工业-大学合作研究中心(IUCRC),专注于开发用于自动识别个人的技术,如生物识别。这项技术的应用领域包括网络安全、边境安全、医疗保健、银行、执法、取证、门禁、自动驾驶汽车、消费电子、电子商务、机器人、电子投票和国民身份证。CITER致力于加强身份科学的基础知识,同时解决业务系统在该领域遇到的实际挑战。除了接受尖端研究议程外,CITER还将参与各种教育和外展活动,面向不同的受众。密歇根州立大学(MSU)将利用其教职员工在人工智能、机器学习、计算机视觉、安全、取证、生物传感器、移动计算、自动驾驶汽车、基因组学和医学成像等多个领域的专业知识,扩大身份识别技术研究中心(CITER)的研究组合。为了促进这一点,密歇根州立大学将与业界和政府利益攸关方合作,他们的伙伴关系将有助于推动人类身份识别技术的前沿。这一协作框架将扩大Citer在将生物识别研究转化为实践方面的领导角色,并影响政策的制定,包括与个人数据安全和隐私相关的政策。研究生和本科生研究人员的积极参与将确保在身份识别技术领域发展一支强大的劳动力队伍,包括有远见卓识的人、领导者、教育工作者、研究人员、专业人员和管理人员。与法医学、人类学、纳米技术、文学神经科学、生物信息学和健康科学等其他领域的专家合作,将扩大该技术的影响领域,并为跨学科研究和教育创造新的机会。参与该中心的密歇根州立大学研究人员将通过推出新的计划,促进代表不足的群体参与研究和教育。此外,还将鼓励研究人员向初中生和高中生展示他们的发现。CITER产品,如研究组合、同行评议出版物、公共领域软件、数据集和评论文章,将在以下网址维护:https://citer.clarkson.edu/.该网站还将提供各种资源,如关于该技术的教程;提高公众对该技术的认识的演示和视频;有关各种城市相关活动的信息,包括社区计划;以及让学生接触该技术的实验室参观时间表。该网站还将促进与利益攸关方的重点对话,以进一步发挥CITER的影响。预计这将产生一个生态系统,使技术以有用的方式与社区相交。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。
英文摘要
The Center for Identification Technology Research (CITeR) is an Industry-University Cooperative Research Center (IUCRC) focusing on the development of technology, such as biometrics, for the automated recognition of individuals. Application domains for this technology include cybersecurity, border security, healthcare, banking, law enforcement, forensics, access control, autonomous vehicles, consumer electronics, e-commerce, robotics, e-voting and national ID cards. CITeR seeks to strengthen the fundamentals of Identity Science whilst addressing practical challenges encountered by operational systems in the field. Besides embracing a cutting-edge research agenda, CITeR will also engage in various educational and outreach activities to a diverse audience. Michigan State University (MSU) will expand the research portfolio of the Center for Identification Technology Research (CITeR) by leveraging the expertise of its faculty in multiple areas including AI, machine learning, computer vision, security, forensics, biosensors, mobile computing, autonomous vehicles, genomics, and medical imaging. To facilitate this, MSU will work with industry and government stakeholders whose partnership will be instrumental in furthering the frontiers of human identification technology. This collaborative framework will broaden CITeR's leadership role in transitioning biometric research into practice and influence the development of policies, including those related to the security and privacy of personal data.The active involvement of graduate and undergraduate researchers will ensure the development of a strong workforce in identification technology - consisting of visionaries, leaders, educators, researchers, professionals, and administrators. Collaboration with experts from other fields such as forensics, anthropology, nanotechnology, literary neuroscience, bioinformatics, and health sciences, will expand the domain-of-influence of the technology and create novel opportunities for inter-disciplinary research and education. MSU researchers involved with the Center will promote the participation of underrepresented groups in research and education by launching new programs. In addition, researchers will be encouraged to showcase their findings to middle school and high school students. CITeR products such as research portfolios, peer-reviewed publications, public-domain software, datasets, and opinion articles will be maintained at the following URL: https://citer.clarkson.edu/. This website will also host resources such as tutorials about the technology; demos and videos to enhance public awareness of the technology; information about various CITeR-related activities, including community programs; and schedules of lab tours to engage school students with the technology. The website will also facilitate focused dialogues with stakeholders in order to further the impact of CITeR. This is expected to generate an ecosystem where the technology intersects with the community in a useful manner.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(14)
专著(0)
科研奖励(0)
会议论文
C2CL: Contact to Contactless Fingerprint Matching
C2CL:接触式到非接触式指纹匹配
DOI: 10.1109/tifs.2021.3134867
发表时间: 2022
期刊: IEEE Transactions on Information Forensics and Security
影响因子: 6.8
作者: [Grosz, Steven A., Engelsma, Joshua J., Liu, Eryun, Jain, Anil K.]
通讯作者: Jain, Anil K.
DOI: 10.1016/j.cviu.2022.103583
发表时间: 2022-11-21
期刊: COMPUTER VISION AND IMAGE UNDERSTANDING
影响因子: 4.5
作者: [Sharma,Renu, Ross,Arun]
通讯作者: Ross,Arun
DOI: 10.1109/tbiom.2021.3139866
发表时间: 2020-03
期刊: IEEE Transactions on Biometrics, Behavior, and Identity Science
影响因子: --
作者: [Joshua J. Engelsma;Anil K. Jain;Vishnu Naresh Boddeti]
通讯作者: Joshua J. Engelsma;Anil K. Jain;Vishnu Naresh Boddeti
DOI: 10.1109/ijcb57857.2023.10449250
发表时间: 2023-05
期刊: 2023 IEEE International Joint Conference on Biometrics (IJCB)
影响因子: --
作者: [Shivangi Yadav;A. Ross]
通讯作者: Shivangi Yadav;A. Ross
14
    Collaborative Research: Converging Genomics, Phenomics, and Environments Using Interpretable Machine Learning Models
    • 批准号:
      1940059
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $40.0万
    • 财政年份:
      2019
    • 负责人:
      Arun Ross
    • 依托单位:
    TWC: Small: Imparting Privacy to Biometric Data in Cyberspace
    • 批准号:
      1618518
    • 项目类别:
      Standard Grant
    • 资助金额:
      $49.88万
    • 财政年份:
      2016
    • 负责人:
      Arun Ross
    • 依托单位:
    TWC: Small: Collaborative: The Master Print: Investigating and Addressing Vulnerabilities in Fingerprint-based Authentication Systems
    • 批准号:
      1617466
    • 项目类别:
      Standard Grant
    • 资助金额:
      $24.0万
    • 财政年份:
      2016
    • 负责人:
      Arun Ross
    • 依托单位:
    Planning Grant: I/UCRC for Identification Technology Research
    • 批准号:
      1362112
    • 项目类别:
      Standard Grant
    • 资助金额:
      $1.41万
    • 财政年份:
      2014
    • 负责人:
      Arun Ross
    • 依托单位:
    国内基金
    海外基金
    基于生境成像与深度学习联合临床特征构建II型卵巢癌术前淋巴结转移预测模型的研究
    鸡软骨非变性II型胶原高效制备和靶向递送的关键技术开发与应用示范
    青蒿琥酯协同TROP2/线粒体级联靶向的NIR-II多模态诊疗用于晚期TNBC精准诊断与治疗的机制研究
    • 批准号:
      2026JJ30126
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2026
    • 负责人:
      杨沙
    • 依托单位:
    苏合颗粒治疗慢性萎缩性胃炎的临床(II期)评价关键技术研究