Keynote Speaker:
    Dr. Torsten Möller

Title:
Visual Data Science - Advancing Science through Visual Reasoning

Abstract:
Modern science is driven by computers (computational science) and data (data-driven science). While visual analysis has always been an integral part of science, in the context of computational science and data-driven science it has gained new importance. In this talk I will demonstrate novel approaches in visualization to support the process of modeling and simulations. Especially, I will report on some of the latest approaches and challenges in modeling and reasoning with uncertainty. Visual tools for ensemble analysis, sensitivity analysis, and the cognitive challenges during decision making build the basis of an emerging field of visual data science which is becoming an essential ingredient of computational thinking.
Bio:
Torsten Moeller is a professor at the University of Vienna, Austria, since 2013. Between 1999 and 2012 he served as a Computing Science faculty member at Simon Fraser University, Canada. He received his PhD in Computer and Information Science from Ohio State University in 1999 and a Vordiplom (BSc) in mathematical computer science from Humboldt University of Berlin, Germany. He is a senior member of IEEE and ACM, and a member of Eurographics. His research interests include algorithms and tools for analyzing and displaying data with principles rooted in computer graphics, human-computer interaction, image processing, machine learning and visualization.
He heads the research group on Visualization and Data Analysis. He served as the appointed Vice Chair for Publications of the IEEE Visualization and Graphics Technical Committee (VGTC) between 2003 and 2012. He has served on a number of program committees and has been papers co-chair for IEEE Visualization, EuroVis, Graphics Interface, and the Workshop on Volume Graphics as well as the Visualization track of the 2007 International Symposium on Visual Computing. He has also co-organized the 2004 Workshop on Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration as well as the 2010 Workshop on Sampling and Reconstruction: Applications and Advances at the Banff International Research Station, Canada. He is a co-founding chair of the Symposium on Biological Data Visualization (BioVis). In 2010, he was the recipient of the NSERC DAS award. He received best paper awards from IEEE Conference on Visualization (1997), Symposium on Geometry Processing (2008), EuroVis (2010), and ACM Intelligent User Interfaces (IUI, 2016), as well as two second best paper awards from EuroVis (2009, 2012). In 2016 he received the Teaching Award from the University of Vienna.

    报告人：
    朱庆博士

    题目：
    测绘地理信息技术的演进与发展
    摘要：
    总结了近十年来测绘地理信息技术突飞猛进的重要历程，特别是我国自主可控的北斗卫星导航定位技术与高分辨率对地观测技术对数字地球和智慧城市的巨大推动作用，探讨了测绘地理信息技术在大数据时代面临的挑战，展望了多模态时空大数据可视化分析与全空间增强现实等关键技术及其发展趋势。
    个人简介：
    朱庆，博士，西南交通大学地球科学与环境工程学院教授。教育部长江学者特聘教授，新世纪百千万人才工程国家级人选，四川省测绘地理信息学会副理事长,四川省减灾委员会专家委员会副主任，四川省生态文明促进会专家委员会副主任。长期从事地球空间信息学的研究与教学工作，在数字高程模型、三维地理信息系统和虚拟地理环境等方面做了基础性和开拓性工作，研究成果获得广泛应用。

    报告人：
    谭晓生

    题目：
    基于大数据及威胁情报的网络安全检测与响应——可视分析技术的需求与挑战
    摘要：
    面对层出不穷系统漏洞和花样翻新的新型攻击方法，网络安全防御理念向更多强调“监测”与“响应”转变，在传统基于网络边界的监测与响应基础上，增加基于终端采集的应用程序行为、终端和网络边界用户／实体行为的监测预警，安全界对采用大数据分析、人工智能算法、威胁情报提高监测预警准确性、降低误报率有很高预期，可视化分析做为一种提高人机互动工作效率、发现安全威胁的方法得到应用，取得成果的同事也遇到挑战。
    个人简介：
    奇虎360首席安全官， CCF常务理事、副秘书长，中关村高端领军人物。先后工作于西安交通大学、北大方正，深圳现代、深圳豪信等公司，从事过DOS操作系统下反病毒系统研究、磁盘加密系统研发、汉字操作系统开发、大型管理信息系统开发。2003年进入互联网行业，先后工作于3721、Yahoo!China、 MySpace China。2009年加入奇虎360，擅长网络安全技术、云计算与大数据基础架构技术、搜索引擎技术。