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: $ 30万
• 依托单位: Michigan State University
• 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
• 起止时间: 2019-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1841517&HistoricalAwards=false
• 关键词: Phase; II; IUCRC; Michigan; State

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.

识别技术研究中心（CITeR）是一个产业大学合作研究中心（IUCRC），专注于开发生物识别等自动识别个人的技术。该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、访问控制、自动驾驶汽车、消费电子产品、电子商务、机器人技术、电子投票和国民身份证。CITeR旨在加强身份科学的基础知识，同时解决该领域操作系统遇到的实际挑战。除了拥抱前沿的研究议程，CITeR还将从事各种教育和推广活动，以不同的观众。 密歇根州立大学（MSU）将利用其教师在人工智能、机器学习、计算机视觉、安全、取证、生物传感器、移动的计算、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行业和政府利益相关者合作，他们的伙伴关系将有助于推进人类识别技术的前沿。这一合作框架将扩大CITeR在将生物识别研究转化为实践方面的领导作用，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识别技术领域强大的劳动力队伍的发展-由远见者，领导者，教育工作者，研究人员，专业人士和管理人员组成。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范围，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，促进代表性不足的群体参与研究和教育。此外，将鼓励研究人员向初中和高中学生展示他们的发现。CITeR的产品，如研究组合，同行评审的出版物，公共领域的软件，数据集，和意见文章将保持在以下URL：https://citer.clarkson.edu/。该网站还将提供各种资源，如有关该技术的教程;演示和视频，以提高公众对该技术的认识;有关各种CITeR相关活动的信息，包括社区计划;以及实验室图尔斯参观时间表，以吸引学校学生使用该技术。该网站还将促进与利益攸关方的重点对话，以进一步扩大CITeR的影响。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

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.

Periocular biometrics and its relevance to partially masked faces: A survey

• 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

HERS: Homomorphically Encrypted Representation Search

• DOI: 10.1109/tbiom.2021.3139866
• 发表时间: 2020-03
• 期刊: IEEE Transactions on Biometrics, Behavior, and Identity Science
• 作者: Joshua J. Engelsma;Anil K. Jain;Vishnu Naresh Boddeti

iWarpGAN: Disentangling Identity and Style to Generate Synthetic Iris Images

• DOI: 10.1109/ijcb57857.2023.10449250
• 发表时间: 2023-05
• 期刊: 2023 IEEE International Joint Conference on Biometrics (IJCB)
• 作者: Shivangi Yadav;A. Ross

Fully Homomorphic Encryption Operators for Score and Decision Fusion in Biometric Identification

• DOI: 10.1109/wifs58808.2023.10374571
• 发表时间: 2023-12
• 期刊: 2023 IEEE International Workshop on Information Forensics and Security (WIFS)
• 作者: Tilak Sharma;Mahika Wason;Vishnu Naresh Boddeti;Arun Ross;N. Ratha