Rate My Professor Chris Johnson

Johnson's research focuses on scientific computing and scientific visualization, with particular interests in uncertainty and computational field visualization, inverse and imaging problems, machine learning, large-scale visualization, and tensor visualization. He leads the MULTI research group at the SCI Institute. Key publications include co-editing The Visualization Handbook (2005, Elsevier) and Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization (2014, Springer). His work has earned numerous accolades, including the NSF Presidential Faculty Fellow Award from President Clinton in 1995, the Governor's Medal for Science and Technology in 1999, the University of Utah Distinguished Professor Award in 2003, the Rosenblatt Prize in 2010, the IEEE Visualization Career Award in 2010, the IEEE Computer Society Charles Babbage Award in 2012, and the IEEE Sidney Fernbach Award in 2013 for outstanding contributions to high-performance computing in biomedicine. He is a Fellow of the IEEE (2014), SIAM (2009), AAAS (2005), and AIMBE (2004), and was inducted into the IEEE Visualization Academy in 2019. Johnson's leadership and innovations have significantly influenced scientific visualization and computational science fields.