Supporting Student Development Activities at the International Joint Conference on Biometrics (IJCB2020)

在国际生物识别联合会议(IJCB2020)上支持学生发展活动

基本信息

  • 批准号:
    2038085
  • 负责人:
  • 金额:
    $ 1.75万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-08-01 至 2021-01-31
  • 项目状态:
    已结题

项目摘要

Opportunities to present, discuss and receive feedback on scholarship within a broader community are critical components of student professional development. A doctoral consortium and undergraduate student mentoring program are ways to foster meaningful interchanges between scholars at varying levels and nurture career pathways. With a transition to virtual programming for the 2020 International Joint Conference on Biometrics (IJCB 2020) due to the COVID-19 pandemic, this award supports the incorporation of a doctoral consortium and undergraduate student mentoring program as part of the conference. IJCB combines two major biometrics research conferences, the Biometrics Theory, Applications, and Systems (BTAS) conference and the International Conference on Biometrics (ICB). The combined conference brings together leading computer vision experts presenting on advances in fundamental biometrics techniques, new biometrics algorithms and technologies, analyses of the social impact of biometrics technology, and identity in behavior analysis. The goals of the doctoral consortium are to highlight the work of advanced Ph.D. students and facilitate feedback by senior members of the professional biometrics community. The goal of the undergraduate student mentoring program is to match undergraduate students majoring in STEM areas with faculty and industry professionals for advisement and networking in biometrics. These activities will broaden participation for undergraduate and doctoral students in the conference and the biometrics professional community at large.IJCB2020 will be held virtually in fall 2020. The doctoral consortium consists of three main components: virtual poster presentations by doctoral participants, individualized feedback by senior members of the community, and breakout sessions on career and professional development topics. The undergraduate student mentoring program supports monthly mentoring sessions in September-December 2020. Student participants and mentors will be recruited through several means, including the conference website, the Institute of Electrical and Electronics Engineers (IEEE) Biometrics Council, and related organization mailing lists and selected through an application process, with participation encouraged by individuals from traditionally underrepresented groups. Mentor matching will be facilitated through the completion of a survey of geographic locations, mentoring preferences, biometrics areas of interest/experience, and interpersonal preferences. Up to ten students will be supported to participate in the doctoral consortium, and up to thirty undergraduate students will be supported to participate in the undergraduate student mentoring program. The project is complemented by a comprehensive evaluation plan to include surveys from mentors and mentees on the strengths, weaknesses, and impacts.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.
在更广泛的社区内展示,讨论和接受奖学金反馈的机会是学生专业发展的重要组成部分。博士生联盟和本科生辅导计划是促进不同层次学者之间有意义的交流和培养职业道路的方法。由于COVID-19大流行,2020年国际生物识别联合会议(IJCB 2020)过渡到虚拟编程,该奖项支持将博士联盟和本科生指导计划作为会议的一部分。IJCB结合了两个主要的生物识别研究会议,生物识别理论,应用和系统(BTAS)会议和国际生物识别会议(ICB)。联合会议汇集了领先的计算机视觉专家,介绍了基本生物识别技术的进展,新的生物识别算法和技术,生物识别技术的社会影响分析,以及行为分析中的身份。博士联盟的目标是突出高级博士的工作。学生和促进专业生物识别社区的高级成员的反馈。本科生指导计划的目标是将STEM领域的本科生与教师和行业专业人士相匹配,以实现生物识别的学习和网络化。这些活动将扩大本科生和博士生在会议和生物识别专业社区的参与。IJCB 2020将于2020年秋季举行。博士联盟由三个主要部分组成:博士参与者的虚拟海报演示,社区高级成员的个性化反馈,以及关于职业和专业发展主题的分组会议。本科生辅导计划支持2020年9月至12月的每月辅导会议。学生参与者和导师将通过多种方式招募,包括会议网站,电气和电子工程师协会(IEEE)生物统计学理事会和相关组织邮件列表,并通过申请程序进行选择,并鼓励传统代表性不足的群体参与。将通过完成地理位置、指导偏好、感兴趣/经验的生物识别领域和人际偏好的调查,促进导师匹配。最多将支持十名学生参加博士生联盟,最多将支持三十名本科生参加本科生导师计划。该项目由一个全面的评估计划补充,包括导师和学员对优势,弱点和影响的调查。该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估。

项目成果

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专利数量(0)

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Ioannis Kakadiaris其他文献

AI-enabled Cardiac Chambers Volumetry and Calcified Plaque Characterization in Coronary Artery Calcium (CAC) Scans (AI-CAC) Significantly Improves on Agatston CAC Score for Predicting All Cardiovascular Events: The Multi-Ethnic Study of Atherosclerosis
冠状动脉钙 (CAC) 扫描 (AI-CAC) 中支持 AI 的心室容量和钙化斑块特征显着改善 Agatston CAC 评分,用于预测所有心血管事件:动脉粥样硬化的多种族研究
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    M. Naghavi;A. Reeves;K. Atlas;Chenyu Zhang;T. Atlas;C. Henschke;D. Yankelevitz;M. Budoff;Dong Li;Sion Roy;Khurram Nasir;Jagat Narula;Ioannis Kakadiaris;S. Molloi;Zahi Fayad;David Maron;Michael McConnell;Kim Williams;Daniel Levy;Nathan S Wong
  • 通讯作者:
    Nathan S Wong
Introduction to the special issue on human modeling, analysis, and synthesis
  • DOI:
    10.1007/s00138-003-0122-5
  • 发表时间:
    2003-09-01
  • 期刊:
  • 影响因子:
    2.300
  • 作者:
    Ioannis Kakadiaris;Rajeev Sharma;Mohammed Yeasin
  • 通讯作者:
    Mohammed Yeasin
Developing a healthy food access index (HFAI): Web-based mapping and future directions for AI integrations
开发健康食品获取指数(HFAI):基于网络的绘图以及人工智能集成的未来方向
  • DOI:
    10.1016/j.cities.2025.105908
  • 发表时间:
    2025-06-01
  • 期刊:
  • 影响因子:
    6.600
  • 作者:
    Junfeng Jiao;Kijin Seong;Marcus Sammer;Ryan Hardesty Lewis;Alison Reese;Norma Olvera;Susie L. Gronseth;Elizabeth Anderson-Fletcher;Ioannis Kakadiaris
  • 通讯作者:
    Ioannis Kakadiaris
Artificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction
人工智能应用于冠状动脉钙扫描(AI-CAC)可显著改善心血管事件预测
  • DOI:
    10.1038/s41746-024-01308-0
  • 发表时间:
    2024-11-05
  • 期刊:
  • 影响因子:
    15.100
  • 作者:
    Morteza Naghavi;Anthony P. Reeves;Kyle Atlas;Chenyu Zhang;Thomas Atlas;Claudia I. Henschke;David F. Yankelevitz;Matthew J. Budoff;Dong Li;Sion K. Roy;Khurram Nasir;Sabee Molloi;Zahi Fayad;Michael V. McConnell;Ioannis Kakadiaris;David J. Maron;Jagat Narula;Kim Williams;Prediman K. Shah;Daniel Levy;Nathan D. Wong
  • 通讯作者:
    Nathan D. Wong

Ioannis Kakadiaris的其他文献

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{{ truncateString('Ioannis Kakadiaris', 18)}}的其他基金

NSF Convergence Accelerator Track J: Artificial-Intelligence-Based Decision Support for Equitable Food and Nutrition Security in the Houston Area
NSF 融合加速器轨道 J:基于人工智能的决策支持,实现休斯顿地区公平的粮食和营养安全
  • 批准号:
    2236305
  • 财政年份:
    2022
  • 资助金额:
    $ 1.75万
  • 项目类别:
    Standard Grant
D-ISN/Collaborative Research: Financial and Network Disruptions in Counterfeit and Illegal Medicines Trade
D-ISN/合作研究:假冒和非法药品贸易中的财务和网络中断
  • 批准号:
    2146335
  • 财政年份:
    2022
  • 资助金额:
    $ 1.75万
  • 项目类别:
    Standard Grant
SCC-CIVIC-FA Track B: Artificial-Intelligence-Based Decision Support for Equitable and Resilient Food Distribution during Pandemics and Extreme Weather Events
SCC-CIVIC-FA 轨道 B:基于人工智能的决策支持,在大流行和极端天气事件期间实现公平和有弹性的粮食分配
  • 批准号:
    2133352
  • 财政年份:
    2021
  • 资助金额:
    $ 1.75万
  • 项目类别:
    Standard Grant
SCC-CIVIC-PG Track B: Equitable Food-Security: Disaster-resilient supply chains for pandemics and extreme weather events
SCC-CIVIC-PG 轨道 B:公平粮食安全:应对流行病和极端天气事件的抗灾供应链
  • 批准号:
    2043988
  • 财政年份:
    2021
  • 资助金额:
    $ 1.75万
  • 项目类别:
    Standard Grant
D-ISN: TRACK 2: Collaborative Research: Financial Network Disruptions in Illicit and Counterfeit Medicines (FIND-M)
D-ISN:轨道 2:合作研究:非法和假冒药品的金融网络中断 (FIND-M)
  • 批准号:
    2039946
  • 财政年份:
    2020
  • 资助金额:
    $ 1.75万
  • 项目类别:
    Standard Grant
I-Corps: Exploiting matching score distributions to improve biometric recognition
I-Corps:利用匹配分数分布来提高生物特征识别
  • 批准号:
    1561151
  • 财政年份:
    2015
  • 资助金额:
    $ 1.75万
  • 项目类别:
    Standard Grant
Segmentation of 3D Tubular Structures
3D 管状结构的分割
  • 批准号:
    0638875
  • 财政年份:
    2006
  • 资助金额:
    $ 1.75万
  • 项目类别:
    Standard Grant
Collaborative Research: Physics-Based Modeling and Simulation for Post-Mastectomy Breast Reconstructive Surgery
合作研究:基于物理的乳房切除术后乳房重建手术建模与仿真
  • 批准号:
    0402591
  • 财政年份:
    2004
  • 资助金额:
    $ 1.75万
  • 项目类别:
    Continuing Grant
SEI: Cardiovascular Informatics
SEI:心血管信息学
  • 批准号:
    0431144
  • 财政年份:
    2004
  • 资助金额:
    $ 1.75万
  • 项目类别:
    Standard Grant
2003 Workshop on Robotics and Computer Vision: PI Meeting
2003 年机器人和计算机视觉研讨会:PI 会议
  • 批准号:
    0334822
  • 财政年份:
    2003
  • 资助金额:
    $ 1.75万
  • 项目类别:
    Standard Grant

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旅行:学生支持第 47 届国际 ACM SIGIR 信息检索研究与发展会议 (SIGIR 2024)
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