Planning Grant: I/UCRC for Identification Technology Research

规划资助：I/UCRC 用于识别技术研究

• 批准号: 1362112
• 负责人: Arun Ross
• 金额: $ 1.41万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1362112&HistoricalAwards=false
• 关键词: Planning; Grant; UCRC; Identification; Technology

Michigan State University (MSU) proposes to join the existing Center for Identification Technology Research (CITeR) as a university site. This addition will expand the research portfolio of CITeR as well as bring new affiliates whose partnership will be instrumental in furthering the frontiers of identification technology. This extended collaboration framework will broaden CITeRs leadership role in transitioning biometric research into practice while influencing socio-legal policies emerging from the use of this technology. Biometrics is the science of automatically recognizing individuals based on their physical, behavioral and physiological attributes such as fingerprints, iris, voice, and gait. As a discipline, biometrics relies on several fields including engineering, statistics, mathematics, biology, physics, jurisprudence, and computational sociology. As a technology, biometrics has applications in cyber-security, law enforcement, surveillance, forensics, multimedia, mobile devices, and healthcare. While the field has significantly matured over the past two decades, several fundamental problems are yet to be addressed. A concerted research, education, and industry-engagement model is needed to effectively leverage and deploy biometric solutions for the benefit of society at large. MSU I/UCRC site proposes to include faculty and affiliates in the areas of cyber security, mobile computing, genomics and big data. The goal of the planning meeting will be to formulate a research roadmap for engaging the research expertise of MSU faculty in furthering the societal and technological impact of CITeR while simultaneously addressing the needs of the affiliates. MSUs expertise in DNA processing, forensic analysis, cloud computing, deep learning and data mining will be used to design next generation identification systems focusing on rapid DNA identification, forensic data analysis, cloud-based biometrics, genomics, and large-scale biometric analytics. Data security and privacy will be an integral component of this research agenda and will benefit affiliates in the field of identity management, healthcare, access control, personalization, forensics, computer security, national security, and genomic analysis. The active involvement of graduate and undergraduate researchers will ensure the development of a strong biometric workforce consisting of future leaders, visionaries, researchers, professionals, and technicians. Collaboration with experts from other fields such as forensics, bioinformatics, health science and cybersecurity will expand the domain-of-influence of biometrics whilst creating novel opportunities for inter-disciplinary research and education. The site directors will connect with existing programs in MSU such as ADAPP (Advancing Diversity through the Alignment of Policies and Practices) and MSU WIC (Women in Computing) in order to promote the involvement of underrepresented groups in STEM research and education. The research conducted in CITeR will be showcased to middle school and high school students through community activities such as MSU Science, Engineering and Technology Day; MSU College of Engineering Design Day; and MSU CSE Research Open House.

密歇根州立大学（MSU）提议加入现有的识别技术研究中心（CITeR）作为大学所在地。这一增加将扩大CITeR的研究组合，并带来新的分支机构，其合作伙伴关系将有助于进一步推进识别技术的前沿。这一扩大的合作框架将扩大CITeR在将生物识别研究转化为实践方面的领导作用，同时影响因使用这一技术而产生的社会法律政策。生物识别是一门基于个人的身体、行为和生理属性（如指纹、虹膜、声音和步态）自动识别个人的科学。作为一门学科，生物识别依赖于几个领域，包括工程，统计学，数学，生物学，物理学，法学和计算社会学。作为一种技术，生物识别技术在网络安全、执法、监视、取证、多媒体、移动的设备和医疗保健方面都有应用。虽然这一领域在过去二十年中已大大成熟，但仍有一些基本问题有待解决。需要一个协调一致的研究、教育和行业参与模式，以有效地利用和部署生物识别解决方案，造福整个社会。MSU I/UCRC网站建议包括网络安全，移动的计算，基因组学和大数据领域的教师和附属机构。规划会议的目标将是制定一个研究路线图，以吸引MSU教师的研究专业知识，进一步促进CITeR的社会和技术影响，同时满足附属机构的需求。MSU在DNA处理，法医分析，云计算，深度学习和数据挖掘方面的专业知识将用于设计下一代识别系统，重点是快速DNA识别，法医数据分析，基于云的生物识别，基因组学和大规模生物识别分析。数据安全和隐私将是本研究议程的一个组成部分，并将有利于身份管理，医疗保健，访问控制，个性化，取证，计算机安全，国家安全和基因组分析领域的分支机构。研究生和本科生研究人员的积极参与将确保由未来的领导者，有远见的人，研究人员，专业人士和技术人员组成的强大的生物识别劳动力的发展。与法医学、生物信息学、健康科学和网络安全等其他领域的专家合作，将扩大生物识别技术的影响范围，同时为跨学科研究和教育创造新的机会。网站主任将与MSU现有的计划，如ADAPP（通过政策和实践的一致性推进多样性）和MSU WIC（计算中的女性），以促进代表性不足的群体参与STEM研究和教育。在CITeR进行的研究将通过社群活动向中学生和高中生展示，如MSU科学，工程和技术日; MSU工程设计日学院;和MSU CSE研究开放日。