Intelligent Big Data Visualization Lab

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Intelligent Big Data Visualization Lab

2024-07-12 11:34| 来源: 网络整理| 查看: 265

Introduction(简介)

同济大学智能大数据可视化实验室 ( Intelligent Big Data Visualization Lab, 即 iDVx Lab) 成立于 2016 年 9 月, 是同济大学中一个跨“设计创意学院” 及 “软件学院” 的 以信息及数据科学为研究方向的创新科研型实验室。实验室旨在打造数据科学领域中具有 世界一流水准的智能化数据分析、可视化、设计以及人机交互技术, 并开展相关技术在 智 慧医疗 及 智能设计 等领域的广泛应用。近些年来,实验室在数据科学及人工智能相关领 域发表高水平国际会议及期刊论文 70 余篇,申请专利近 40 项,累计获得 2 项 最佳论 文奖 及 6 项 最佳论文提名奖。通过本科生暑期实习计划,实验室先后培养出了一大批优 秀人才,先后收到包括 哈佛、耶鲁、UIUC、CMU、UCSD、佐治亚理工 等美国著名大 学的硕士及博士学位的录取通知书。近年来,在学术界,实验室先后建立了与 美国麻省理 工大学媒体实验室、北卡罗来纳州立大学信息学院、佐治亚理工大学、亚利桑那州立大学 信息系统学院、匹兹堡大学信息学院、以及香港科技大学 在智慧医疗、数据分析、以及信 息可视化等领域的长期紧密合作;在工业界,实验室先后与 IBM、微软、Adobe、西门子、阿里巴巴 等国内外大型企业建立合作关系。目前,iDVX Lab 正在成为一个具有国际 影响力的集产学研为一体的创新研究型实验室。[更多详情]

iDVx Lab is a joint research lab in both College of Design and Innovation and the School of Software Engineering at Tongji University, Shanghai, China. The lab was founded in 2016 and focuses on the data science related research areas, with the goal of developing the state-of-the-art techniques in the fields of intelligent data analysis, visualization, design, and human-computer interaction. We apply these techniques to various application domains, such as health informatics and AI supported design. iDVx lab has a strong research and innovation capability. During the past years, over 60 papers were published by the lab members in top-tier journals/conferences and over 40 patents have been filed. Our summer internship program has trained a number of outstanding undergraduate students who successively received the admission from top universities such as Harvard, Yale, UIUC, NYU, Georgia Tech, UCSD, UC-Davis, and UCSB. In academia, iDVx Lab has been closly cooperating with University of North Carolina at Chapel Hill, University of Pittsburgh, Arizona State University, and the Hong Kong University of Science and Technology in a variaty of research projects including intellegent healthcare, data analysis, and information visualization. In industry, iDVx lab is a long term collaborator of IBM, Microsoft, Adobe, Siemens and Alibaba.



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