Center for Visual and Decision Informatics (CVDI) I/UCRC site at the University of Virginia

弗吉尼亚大学视觉与决策信息学中心 (CVDI) I/UCRC 网站

• 批准号: 1650512
• 负责人: William Scherer
• 金额: $ 50万
• 依托单位: University of Virginia Main Campus
• 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 2022-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1650512&HistoricalAwards=false
• 关键词: Center; Visual; Decision; Informatics; CVDI

The Center for Visual and Decision Informatics (CVDI) National Science Foundation Industry University Cooperative Research Center (IUCRC) was established in 2012 by the University of Louisiana at Lafayette (UL Lafayette) and Drexel University. CVDI has been successful in meeting the IUCRC program management requirements during its Phase 1, with demonstrated excellent growth trajectory in terms of research funding, industry members, and academic sites, and will continue into Phase 2 operation. This award aims to help establish a Phase II CVDI site at the University of Virginia (UVA) that complements and strengthens the research base and industrial support of the existing sites of CVDI. The Center's activities will generate societal benefits by addressing areas of national priority such as finance, cyber-physical systems, and security, and will deliver data science innovations with value to both government and industry. UVA CVDI will follow a strategy to broaden Science, Technology, Engineering, and Mathematics (STEM) participation: (1) involve under-represented groups through the NSF Research Experience for Undergraduates program; (2) recruit graduate students from neighboring Historically Black Colleges and Universities; (3) collaborate with K-12 STEM programs for data science outreach; and (4) increase student internships opportunities by leveraging CVDI industrial members and national initiatives, as the Graduate Education for Minorities program.CVDI will serve as a major research and innovation center for solving challenges in core areas of data science such as big data analytics, visual analytics, augmented intelligence, and decision informatics. The UVA site brings complementary and synergistic research strength in a number of important technical areas, including: cognitive assistance, information retrieval, natural language processing, latent structure learning, reinforcement learning, data fusion and distributed learning, and agent-based models and simulation. The UVA site's focus on decision analytics and human-in-the-loop data gathering, analysis, and exploitation complements the activities and interests of the other sites. Application domains for the UVA site also reinforce and complement those of the other sites. These include: computational law, manufacturing, IoT and sensing, data privacy and security, finance and banking, internet analytics, and national defense.

视觉与决策信息学中心 (CVDI) 美国国家科学基金会产学合作研究中心 (IUCRC) 由路易斯安那大学拉斐特分校 (UL Lafayette) 和德雷克塞尔大学于 2012 年成立。 CVDI 在第一阶段已成功满足 IUCRC 项目管理要求，在研究经费、行业成员和学术场所方面表现出良好的增长轨迹，并将继续进入第二阶段运营。该奖项旨在帮助在弗吉尼亚大学 (UVA) 建立二期 CVDI 基地，以补充和加强现有 CVDI 基地的研究基础和工业支持。该中心的活动将通过解决金融、网络物理系统和安全等国家优先领域来产生社会效益，并将提供对政府和行业都有价值的数据科学创新。 UVA CVDI 将遵循扩大科学、技术、工程和数学 (STEM) 参与的战略：(1) 通过 NSF 本科生研究体验计划让代表性不足的群体参与进来； （2）从邻近的历史悠久的黑人学院和大学招收研究生； (3) 与 K-12 STEM 项目合作进行数据科学推广； (4) 通过利用 CVDI 行业成员和国家举措（如少数族裔研究生教育计划）增加学生实习机会。CVDI 将作为主要研究和创新中心，解决大数据分析、视觉分析、增强智能和决策信息学等数据科学核心领域的挑战。 UVA站点在许多重要技术领域带来了互补和协同的研究力量，包括：认知辅助、信息检索、自然语言处理、潜在结构学习、强化学习、数据融合和分布式学习以及基于代理的模型和模拟。 UVA 站点专注于决策分析和人机交互数据收集、分析和开发，与其他站点的活动和兴趣相辅相成。 UVA 站点的应用领域也加强和补充了其他站点的应用领域。其中包括：计算法、制造、物联网和传感、数据隐私和安全、金融和银行、互联网分析和国防。

项目成果

Modeling law search as prediction

• DOI: 10.1007/s10506-020-09261-5
• 发表时间: 2020-02
• 期刊: Artificial Intelligence and Law
• 影响因子: 4.1
• 作者: Faraz Dadgostari;Mauricio Guim;P. Beling;Michael A. Livermore;D. Rockmore

4 Dimensional waypoint generation for conflict-free trajectory based operation

• DOI: 10.1016/j.ast.2019.03.035
• 发表时间: 2019-05
• 期刊: Aerospace Science and Technology
• 影响因子: 5.6
• 作者: Minghui Sun;K. Rand;C. Fleming

Towards Improved Testing For Deep Learning

改进深度学习测试

• 发表时间: 2019
• 期刊: 2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER
• 作者: Sekhon, Jasmine;Fleming, Cody
• 通讯作者: Fleming, Cody

Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration

• DOI: 10.1109/itsc45102.2020.9294294
• 发表时间: 2019-11
• 期刊: 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
• 作者: Jianyu Su;P. Beling;Rui Guo;Kyungtae Han

Agent-based model construction using inverse reinforcement learning

使用逆强化学习的基于代理的模型构建

• DOI: 10.1109/wsc.2017.8247872
• 发表时间: 2017
• 期刊: 2017 Winter Simulation Conference (WSC
• 作者: Lee, K.;Rucker, M.;Scherer, W.;Beling, P.;Gerber, M.;Kang, H.
• 通讯作者: Kang, H.