[12-26] Visual Analytics for Multi-Dimensional Data

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Title: Visual Analytics for Multi-Dimensional Data
Speaker: Shenghui Cheng, Stony Brook University, USA
Time: 11:00am, December 26th, 2017
Venue: Room 337, Building 5, State Key Lab. of Computer Science, Institute of Software, Chinese Academy of Sciences.
      The growth of digital data is tremendous. The data come from many aspects of life and matter such as medical records, environment monitoring, business market, social networks etc. It is a challenge for humans to understand the intricate relations among the data on such a large scale, let alone turn them into big fortune. Visual Analytics can offer powerful mechanisms to assist humans in the exploration and utilization of these complex data, by mining the relations from the raw data and sculpting them as visualizations to help human gain insight.
      In this talk, I will target at visual analytics for high/multi-dimensional data, and describe the visualization work on multidimensional/multivariate data matrices, multiple-channel images, multidimensional networks and multidimensional streaming data.
      Shenghui Cheng is a final year PhD candidate at Visual Analytics and Imaging (VAI) Lab, Computer Science Department, Stony Brook University, USA. In addition, he is also a guest researcher at Computational Science Initiative, Brookhaven National Lab, USA. He has been visited the Institute for Medical Informatics, Statistics, and Epidemiology (IMISE), Leipzig University, Germany as a scientific researcher and the Department of Informatics, Friedrich Schiller University Jena, Germany as a research assistant.  He has authored papers at some famous venues, such as IEEE Transaction on Visualization and Computer Graphics, IEEE Pacific Vis, Scientific Reports. He has been selected as an instructor twice for the tutorial at the IEEE Vis Conference, and serves as a reviewer for IEEE Transactions on Visualization and Computer Graphics, IEEE Visualization Conference, International Symposium on Graph Drawing and Network, AMIA Informatics Summit etc. His primary research interest includes visual analytics, information visualization and scientific visualization with a special focus on the High-Dimensional data. For more information, please visit http://www3.cs.stonybrook.edu/~shecheng/.