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SUNY Stony Brook（SBU）添加到视觉和决策信息学中心（CVDI）作为II期大学的网站。 CVDI的以行业为中心的国家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，数据获取和管理以及数据可视化领域的下一代技术，以及所有这些技术对分析和解释的信息对信息的转化方式具有很大的潜力。研究人员将为包括医疗保健，能源，商业智能，计算法，银行，信息技术，网络和国土安全性，运输，制造业和物联网在内的各种市场领域生成实用解决方案。 CVDI的研究及其相关活动将（1）在健康和保健，网络和国土安全以及能源等国家优先领域产生社会利益；（2）通过使全球竞争力的大数据和数据科学创新为行业和政府带来价值的影响区域和国民经济；（3）提前教育和学生培训以创造未来的劳动力，特别是SBU数据科学与工程学（DSE）的MS专业化，以及（4）通过培训，教育和宣传挑战与妇女和人为不足的少数群体互动。人类计算机互动，虚拟/增强现实，游戏化，知识管理，系统和存储优化，无线和移动计算，数据流，信息检索，高性能计算以及创新算法。

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

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

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

Contextual Attention for Hand Detection in the Wild