Visual Analysis Challenges in the Age of Data

New data of all kinds—structured, unstructured, quantitative, qualitative, spatial, and temporal—is growing exponentially and in every way. Given the vast amount of data being produced, one of the greatest scientific challenges is to effectively understand it and make use of it.

In this talk, Chris R. Johnson presents recent visual analysis research and applications in science, engineering, and medicine from the oneAPI Center of Excellence at the Scientific Computing and Imaging (SCI) Institute at the University of Utah, and discusses current and future visualization research challenges.

Chris is a distinguished professor of computer science and founding director of the SCI Institute. He is a fellow of American Institute for Medical and Biological Engineering (AIMBE) (2004), American Association for the Advancement of Science (AAAS) (2005), Society for Industrial and Applied Mathematics (SIAM) (2009), and Institute of Electrical and Electronics Engineers (IEEE) (2014) and was inducted into the IEEE Visualization Academy (2019).