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I/UCRC: Center for Visual and Decision Informatics (CVDI) Site at SUNY Stony Brook

I/UCRC：纽约州立大学石溪分校视觉与决策信息学中心 (CVDI) 网站

基本信息

批准号：
1650499
负责人：
Arie Kaufman
金额：
$ 50万
依托单位：
SUNY at Stony Brook
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-03-01 至 2023-02-28
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1650499&HistoricalAwards=false
关键词：
UCRC Center Visual Decision Informatics

项目摘要

This award seeks to add SUNY Stony Brook (SBU) to the Center for Visual and Decision Informatics (CVDI) as a Phase II university site. The industry-centric national-scale research program at CVDI seeks to conduct multi-disciplinary, cross-institutional, pre-competitive research and develop the next generation technologies in data science, big data, analytics, data acquisition and management, and data visualization, all of which have large potential for transformative impact on how information is analyzed and interpreted. Researchers will produce practical solutions for a range of market sectors including healthcare, energy, business intelligence, computational law, banking, information technology, cyber and homeland security, transportation, manufacturing, and internet of things. CVDI?s research along with its associated activities will (1) generate societal benefits in areas of national priority such as health and wellness, cyber and homeland security, and energy; (2) impact regional and national economy in terms of delivering value to both industry and government through innovation in big data and data science by making them globally competitive; (3) advance education and student training to create future workforce, specifically the MS Specialization in Data Science & Engineering (DSE) at SBU, and (4) engage women and underrepresented minorities through training, education and outreach.Key research challenges will be addressed by SUNY at Stony Brook using visual analytics, immersive analytics, natural language processing, machine learning, computer vision, social media analytics, geometric/topological analytics, visualization, human-computer interaction, virtual/augmented reality, gamification, knowledge management, system and storage optimization, wireless and mobile computing, data streaming, information retrieval, high performance computing, and innovative algorithms.

该奖项旨在将纽约州立大学斯托尼布鲁克（SBU）添加到视觉和决策信息学中心（CVDI）作为第二阶段大学网站。CVDI以行业为中心的全国规模研究计划旨在进行多学科，跨机构，竞争前研究，并开发数据科学，大数据，分析，数据采集和管理以及数据可视化的下一代技术，所有这些都对信息的分析和解释方式产生巨大的变革性影响。研究人员将为一系列市场领域提供实用的解决方案，包括医疗保健，能源，商业智能，计算法，银行，信息技术，网络和国土安全，运输，制造和物联网。CVDI？该研究沿着其相关活动将（1）在国家优先领域产生社会效益，如健康和健康，网络和国土安全，以及能源;（2）通过大数据和数据科学的创新，通过使其具有全球竞争力，在为行业和政府提供价值方面影响区域和国家经济;（3）推进教育和学生培训，以创造未来的劳动力，特别是SBU的数据科学工程（DSE）MS专业化，以及（4）通过培训吸引女性和代表性不足的少数民族&，纽约州立大学斯托尼布鲁克分校将利用视觉分析、沉浸式分析、自然语言处理、机器学习、计算机视觉、社交媒体分析、几何/拓扑分析、可视化、人机交互、虚拟/增强现实、游戏化、知识管理、系统和存储优化、无线和移动的计算、数据流、信息检索、高性能计算和创新算法。

项目成果

期刊论文数量（73）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Self-supervised Deformation Modeling for Facial Expression Editing

DOI：
10.1109/fg47880.2020.00115
发表时间：
2019-11
期刊：
2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020)
影响因子：
0
作者：
ShahRukh Athar;Zhixin Shu;D. Samaras
通讯作者：
ShahRukh Athar;Zhixin Shu;D. Samaras

Vicinal Counting Networks

DOI：
10.1109/cvprw56347.2022.00467
发表时间：
2022-06
期刊：
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
影响因子：
0
作者：
Viresh Ranjan;Minh Hoai
通讯作者：
Viresh Ranjan;Minh Hoai

Fluent: An AI Augmented Writing Tool for People who Stutter

DOI：
10.1145/3441852.3471211
发表时间：
2021-08
期刊：
Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility
影响因子：
0
作者：
Bhavya Ghai;Klaus Mueller
通讯作者：
Bhavya Ghai;Klaus Mueller

Intrinsic Decomposition of Document Images In-the-Wild