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Intelligent Data Visual Analytics
时间:2016-12-19 点击:
报告人:Jinzhu Gao
报告时间:12月20日下午14:00
报告地点:主楼IV区107 

The advance in computing technology allows applications and simulations to produce a tremendous amount of data that should be shared, managed and analyzed in an effective and timely manner. The data, on the order of terabytes or petabytes, places a big challenge for collaborative work done by geographically distributed teams of researchers and data analysts. Developing an integrated and intelligent solution in a distributed environment has become a critical research focus in many fields. The enormous growth in size and complexity of data also requires such a solution to be scalable and easily accessible.
 
In this talk, Dr. Gao will highlight some of her work in intelligent data visual analytics. This will include her previous work on scalable data management, analysis, and visualization in parallel and distributed environments as well as her ongoing efforts in virtual reality enhanced data analysis, video information analysis for mobile health, and visual predictive analysis for industries.

Short Bio:

Dr. Jinzhu Gao received the Ph.D. degree in Computer Science from The Ohio State University in 2004. From June 2004 to August 2008, she worked at the Oak Ridge National Laboratory as a research associate and then the University of Minnesota, Morris, as an Assistant Professor of Computer Science. She joined the University of the Pacific in 2008 and is currently an Associate Professor of Computer Science at Pacific. Her main research focus is on intelligent data visual analytics. Over the past fifteen years, Dr. Gao has been working closely with application scientists and Silicon Valley technology companies to develop online data visual analytics and deep learning platforms to support collaborative science, mobile health, IoT data analytics, business operational visibility, and visual predicative analysis for industries. Her work has been published in top journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Computers, and IEEE Computer Graphics and Applications.