GAMES Webinar 2020 – 146期(可视化专题) | Jian Zhao(University of Waterloo)
GAMES Webinar 2020-146期】(可视化专题)
报告嘉宾：Jian Zhao(University of Waterloo)
报告题目：Integrating predictive models with interactive visualization
Every day, we are continuously generating a huge amount of data in different forms. While many automatic methods have been proposed to extract insights, a tremendous number of tasks are still ill-defined, vague, and exploratory. This calls for more effective and tighter collaboration between humans and machines. My research takes a step to address this issue using intelligent visualization. In this talk, I will discuss how we utilize and understand predictive models with interactive visualization. I am going to showcase a few example projects situated in a range of real-world applications, such as data exploration, online education, and network analysis. I will also outline a few interesting future directions for using visualization to enhance general data analytical workflows.
Dr. Jian Zhao is an Assistant Professor at the School of Computer Science, University of Waterloo. His research lies in the intersection of information visualization, human-computer interaction, and data science. He is dedicated to developing interactive visualizations that optimize the analytical workflow of solving complex real-world data problems. He received his Ph.D. from the Department of Computer Science, University of Toronto. Before joining the academia, he was a Senior Research Scientist at FX Palo Alto Laboratory (FXPAL). He is the recipient of several awards such as an NSERC Postdoctoral Fellowship, a Mitacs Award, and five paper awards at top-tier venues. He has served on the program committees of many world-class conferences (e.g., IEEE VIS and ACM CHI), as well as has taken leadership roles in the organizing committees such as IEEE VIS, PacificVis, ChinaVis, and ISVC. In addition, he has the experiences of working at other leading industry labs including Microsoft, IBM, and Adobe Research. He holds more than a dozen patents and some have successfully generated impact on products. More information can be found on his personal website: www.jeffjianzhao.com.
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