WORKSHOP: Doctoral Consortium at the IEEE ACII 2015 Conference

研讨会:IEEE ACII 2015 会议上的博士联盟

基本信息

  • 批准号:
    1544421
  • 负责人:
  • 金额:
    $ 1万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-08-01 至 2016-07-31
  • 项目状态:
    已结题

项目摘要

This is funding to support travel for up to 10 students enrolled in PhD programs in U.S. institutions, to attend the 6th IEEE International Conference on Affective Computing and Intelligent Interactions (ACII 2015), to be held September 21-24 in Xi'an, China. Besides attending the main conference program, the students will participate in a Doctoral Consortium where they will share their research results with the community and receive feedback from senior researchers in the field. The ACII conference, which is held approximately every two years, is the premier international forum for interdisciplinary research on the design of systems that can recognize, interpret, and simulate human emotions and related affective phenomena. Its broad scope includes: multi-modal recognition or synthesis of human affect; psychological, cognitive, and neurological affect modeling; affective computing for social and behavioral sciences; and affective interactions for social robotics and virtual agents. The conference presents the latest research in these and related areas, and it plays an important role in shaping many scientific, academic, and educational programs. A theme of ACII 2015 will be to emphasize the biological underpinnings of affective computing, including how emotion is represented in the brain, how it prepares and shapes the body and even how certain genes can underlie affective dispositions. More information about the conference is available online at http://www.acii2015.org. By attending ACII 15 and taking part in the Doctoral Consortium, the students will not only learn the state of the art in affective computing research but will also have an opportunity to present their own work to, and receive feedback from, an invited committee of faculty and industry researchers along with other students working in related areas. Such an experience will greatly benefit the students professionally, by giving them valuable exposure to outside perspectives on their work and providing a setting in which to identify development needs and fine-tune their career objectives. Just as importantly, they will have a chance to meet established researchers and other graduate students doing similar work, to exchange ideas and to make contacts that will be invaluable to them as they progress in their scientific careers. Interacting with young researchers is also beneficial to experienced investigators, by providing fresh ideas and new perspectives. Thus, the Doctoral Consortium is a great confidence builder for the students involved, and highly stimulating to the senior researchers as well. To maximize the benefits of the NSF support, the event organizers will make a particular effort to recruit students from underrepresented groups (in particular, women and minorities) and from smaller schools or schools with less established affective computing research programs, as well as a demographically diverse set of mentors to advise these students (in terms of region, type of employment, and stage in career). In addition, no more than one student will be selected from any given educational institution. The specific goals of the doctoral consortium are: to provide a setting for face-to-face interaction and feedback on student participants' current research and constructive guidance on future directions; to promote networking among PhD students working in related area; to develop a supportive community of scholars and a spirit of collaborative research; to support a new generation of researchers with information and advice on academic, research, industrial, and non-traditional career paths; and to support technical and culture interactions between American students and their counterparts from other countries. Each accepted student will receive up to $1,000 and will be asked to volunteer to help the ACII 2015 Chairs run the conference. Students who do not have a paper accepted for presentation either at ACII 2015 or one of its associated workshops will be asked to supply an extended abstract (up to 6 pages) describing their original, unpublished doctoral work, either completed or in progress. Each participant in the Doctoral Consortium will be assigned a mentor based upon similarity of research interests and experience, who will be committed to discussing the work with the student mentee in a one-on-one setting. There will be a Doctoral Consortium poster session, in which all participants will present their doctoral work or a recent paper that is part of their doctoral work. A best paper award will be given to honor Fiorella de Rosis, who co-chaired the first ACII Doctoral Consortium in Lisbon in 2007.
这笔资金将用于支持最多10名在美国机构攻读博士学位的学生参加将于9月21日至24日在中国西安举行的第六届IEEE情感计算和智能交互国际会议(ACII 2015)。 除了参加主要的会议计划外,学生还将参加博士联盟,在那里他们将与社区分享他们的研究成果,并收到该领域高级研究人员的反馈。 ACII会议大约每两年举行一次,是跨学科研究系统设计的首要国际论坛,该系统可以识别,解释和模拟人类情感和相关情感现象。 其广泛范围包括:人类情感的多模态识别或合成;心理、认知和神经情感建模;社会和行为科学的情感计算;以及社会机器人和虚拟代理的情感交互。 会议介绍了这些和相关领域的最新研究,它在塑造许多科学,学术和教育计划中发挥着重要作用。 ACII 2015的一个主题将是强调情感计算的生物学基础,包括情感如何在大脑中表现,它如何准备和塑造身体,甚至某些基因如何成为情感倾向的基础。 http://www.acii2015.org通过参加ACII 15并参加博士联盟,学生不仅将学习情感计算研究的最新技术,而且还将有机会向受邀的教师和行业研究人员委员会沿着在相关领域工作的其他学生展示自己的工作并获得反馈。 这样的经验将大大有利于学生的专业,让他们有价值的接触到他们的工作以外的观点,并提供了一个环境,以确定发展需要和微调他们的职业目标。 同样重要的是,他们将有机会与从事类似工作的知名研究人员和其他研究生会面,交流思想,并建立联系,这对他们在科学生涯中取得进步至关重要。 与年轻研究人员的互动也有利于经验丰富的研究人员,提供新的想法和新的视角。 因此,博士生联盟是一个很大的信心建设者的学生参与,并高度刺激高级研究人员以及。 为了最大限度地发挥NSF支持的优势,活动组织者将特别努力从代表性不足的群体(特别是妇女和少数民族)和较小的学校或情感计算研究项目较少的学校招募学生,以及人口统计学上多样化的导师组为这些学生提供建议(在地区,就业类型和职业阶段方面)。 此外,从任何特定教育机构中挑选的学生不得超过一名。 博士生联合会的具体目标是:提供一个面对面互动的环境,就学生参与者目前的研究提供反馈,并就未来的方向提供建设性指导;促进在相关领域工作的博士生之间建立网络;发展一个支持性的学者社区和合作研究的精神;为新一代研究人员提供学术、研究、工业和非传统职业道路方面的信息和建议;并支持美国学生与其他国家学生之间的技术和文化交流。 每个被录取的学生将获得高达1,000美元,并将被要求志愿帮助ACII 2015年主席运行会议。 没有在ACII 2015或其相关研讨会上发表论文的学生将被要求提供一份扩展摘要(最多6页),描述他们原始的未发表的博士论文,无论是完成的还是正在进行的。 博士联盟的每个参与者将根据研究兴趣和经验的相似性分配一名导师,他们将致力于与学生学员一对一地讨论工作。 将有一个博士联盟海报会议,所有与会者将介绍他们的博士工作或最近的论文,这是他们的博士工作的一部分。 最佳论文奖将授予2007年在里斯本共同主持第一届ACII博士联盟的荣誉菲奥雷拉·德·罗西。

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Qiang Ji其他文献

Oil financialisation and volatility forecast: Evidence from multidimensional predictors
石油金融化和波动性预测:来自多维预测的证据
  • DOI:
    10.1002/for.2577
  • 发表时间:
    2019-09
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Yan-ran Ma;Qiang Ji;Jiaofeng Pan
  • 通讯作者:
    Jiaofeng Pan
An ecological network analysis of the structure, development and sustainability of China’s natural gas supply system security
中国天然气供应体系安全结构、发展与可持续性的生态网络分析
  • DOI:
    10.1016/j.ecolind.2016.09.051
  • 发表时间:
    2017-02
  • 期刊:
  • 影响因子:
    6.9
  • 作者:
    Faheemullah Shaikh;Qiang Ji;Ying Fan
  • 通讯作者:
    Ying Fan
Improving Face Recognition by Online Image Alignment
通过在线图像对齐改进人脸识别
Exploring Domain Knowledge for Facial Expression-Assisted Action Unit Activation Recognition
探索面部表情辅助动作单元激活识别的领域知识
Forecasting portfolio variance: a new decomposition approach
预测投资组合方差:一种新的分解方法
  • DOI:
    10.1007/s10479-023-05546-5
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    4.8
  • 作者:
    Bo Yu;Dayong Zhang;Qiang Ji
  • 通讯作者:
    Qiang Ji

Qiang Ji的其他文献

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{{ truncateString('Qiang Ji', 18)}}的其他基金

EAGER: Deep Causal Representation Learning for Generalizable Visual Understanding
EAGER:用于泛化视觉理解的深度因果表示学习
  • 批准号:
    2236026
  • 财政年份:
    2022
  • 资助金额:
    $ 1万
  • 项目类别:
    Standard Grant
CI-SUSTAIN: Collaborative Research: Extending a Large Multimodal Corpus of Spontaneous Behavior for Automated Emotion Analysis
CI-SUSTAIN:协作研究:扩展自发行为的大型多模态语料库以进行自动情绪分析
  • 批准号:
    1629856
  • 财政年份:
    2016
  • 资助金额:
    $ 1万
  • 项目类别:
    Standard Grant
Affect-Based Video Retrieval
基于情感的视频检索
  • 批准号:
    1539012
  • 财政年份:
    2015
  • 资助金额:
    $ 1万
  • 项目类别:
    Standard Grant
EAGER: Combining Knowledge with Data for Generalizable and Robust Visual Learning
EAGER:将知识与数据相结合,实现可推广且稳健的视觉学习
  • 批准号:
    1145152
  • 财政年份:
    2011
  • 资助金额:
    $ 1万
  • 项目类别:
    Standard Grant
Automated Alignment and Segmentation for Electron Tomography
电子断层扫描的自动对准和分割
  • 批准号:
    0241182
  • 财政年份:
    2003
  • 资助金额:
    $ 1万
  • 项目类别:
    Continuing Grant

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