CSIG-VIS International Lecture Series 17
    Prof. Daniel Weiskopf | Visual Analysis of Multidimensional Data


    Speaker: Prof. Daniel Weiskopf

    the University of Stuttgart, Germany.

    Topic: Visual Analysis of Multidimensional Data

    Time: May.19, 2022 19:00-20:30 (China Standard Time)

    Abstract: Multidimensional data analysis is of broad interest for a wide range of applications. In this talk, I discuss visualization approaches that support the analysis of such data. I start with a brief overview of the field and some theoretical models. The main part of the talk describes a few recent advancements, with a focus on results from my own work. In particular, I cover basic visual representations in the form of scatterplots, scatterplot matrices, and parallel coordinates. These are then combined with further analytical support, including dimensionality reduction, local correlation analysis, machine learning, and interactive exploration for visual analytics. I also discuss sampling issues in multidimensional visualization, and how we can extend it to uncertainty visualization. The talk closes with an outlook on future research directions.

    Speaker Bio: Daniel Weiskopf is a professor and one of the directors of the Visualization Research Center (VISUS) and acting director of the Institute for Visualization and Interactive Systems (VIS), both at the University of Stuttgart, Germany. He received his Dr. rer. nat. (PhD) degree in physics from the University of Tübingen, Germany (2001), and the Habilitation degree in computer science at the University of Stuttgart, Germany (2005). His research interests include visualization, visual analytics, eye tracking, human-computer interaction, computer graphics, augmented and virtual reality, and special and general relativity. He is spokesperson of the DFG-funded Collaborative Research Center SFB/Transregio 161 “Quantitative Methods for Visual Computing” (www.sfbtrr161.de), which covers basic research on visualization, including multidimensional visualization.

    Live Stream： http://live.bilibili.com/24003948

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    Session Chair:Liang Zhou

    Peking University

    Session Chair Bio: Liang Zhou is an associate researcher, assistant professor, and doctoral supervisor at the National Institute of Health and Medical Big Data, Peking University. Research interests include visualization, visual perception, mixed reality, visual analysis of health data







    About Us

    Webpage: http://chinavis.org/lectures/english/index_en.html
    Email：csig_vis_forum@163.com

    About CSIG-VIS

    The China Society of Image and Graphics, Technical Committee on Visualization and Visual Analytics (CSIG-VIS) is the first technical committee on visualization and visual analytics in China. The technical committee aims to develop a communication platform for stakeholders in academia and industry, to discuss the trends and opportunities in the era of big data, to promote the discipline development and talent cultivation, to push forward the research and applications in the related disciplines, and ultimately to build a sustainable ecosystem involving industry, universities, and other research institutes. The technical committee, officially established on December 23, 2017, already attracts more than 100 members from various affiliations, including domestic and international universities and companies.

    About The CSIG-VIS International Lecture Series

    The CSIG-VIS International Lecture Series, launched by the China Society of Image and Graphics, Technical Committee on Visualization and Visual Analytics, invites renowned experts to share their visions of the research trends and latest progress in visualization. These biweekly lectures are conducted in Thursday, and please refer to http://chinavis.org /lectures/english/index_en.html for details.