Jian Zhao
Title: Design Intelligent Visual Information Seeking Interfaces
Every day, we are continuously generating a huge amount of data in different forms. This calls for more effective and tighter cooperation between humans and machines to work together for seeking, processing, and making sense of useful information. My research takes a step to address this issue using intelligent visualization. In this talk, I am going to share some my experiences on how to design effective visual information seeking interfaces. I will showcase a few example projects situated in a range of applications, such as searching code in exploratory programming, creating charts in visual exploration of data, and building ad hoc tables in data collection and wrangling.
Dr. Jian Zhao is an Assistant Professor in the Cheriton School of Computer Science, University of Waterloo, where he directs the WatVis (Waterloo Visualization) research group. He is also a member of the Waterloo Artificial Intelligence Institute (Waterloo.ai). 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. Dr. Zhao received his Ph.D. from the Department of Computer Science, University of Toronto. He is the recipient of six best paper or honorable mention paper awards at top-tier venues (e.g., IEEE VIS, ACM CHI, and MobileHCI). He has served on the program committees of many world-class conferences (e.g., VIS and CHI) as well as has taken leadership roles in the organizing committees such as IEEE VIS, PacificVis, and ISVC. In addition, he has experiences working at other leading industry labs including Microsoft, IBM, Adobe Research, and FXPAL. Dr. Zhao holds more than a dozen patents and some have successfully generated impact on products. More information can be found on his website: www.jeffjianzhao.com