Big Data Visual Analysis
Big Data Visual Analysis
Speaker: Professor Chris Johnson
Locations: Monash University: Time: 9.00 - 10.00am Seminar Room G12A, Building 26, Clayton Campus. Enquiries: Caitlin Slattery (Faculty of IT)
University of Queensland: Time: 9.00 - 10.00am Seminar Room 505A/B, Axon Building (#47), St Lucia Campus. Enquiries: Fran Moore (Research Computing Centre)
We live in an era in which the creation of new data is growing exponentially such that every two days we create as much new data as we did from the beginning of mankind until the year 2003. One of the greatest scientific challenges of the 21st century is to effectively understand and make use of the vast amount of information being produced. Visual data analysis will be among our most important tools to understand such large and often complex data. In this talk, I will present state- of-the-art visualization techniques, including ways to visually characterize associated error and uncertainty, applied to Big Data problems in science, engineering, and medicine.
Chris Johnson is the founding director the Scientific Computing and Imaging (SCI) Institute at the University of Utah where he is a Distinguished Professor of Computer Science and holds faculty appointments in the Departments of Physics and Bioengineering. His research interests are in the areas of scientific computing and scientific visualization. Dr. Johnson founded the SCI research group in 1992, which has since grown to become the SCI Institute employing over 200 faculty, staff and students.
Professor Johnson serves on several international journal editorial boards, as well as on advisory boards to several national research centers. Professor Johnson has received several awards, including the the NSF Presidential Faculty Fellow (PFF) award from President Clinton in 1995 and the Governor's Medal for Science and Technology from Governor Michael Leavitt in 1999. He is a Fellow of the American Institute for Medical and Biological Engineering, a Fellow of the American Association for the Advancement of Science, and in 2009 he was elected a Fellow of the Society for Industrial and Applied Mathematics (SIAM) and received the Utah Cyber Pioneer Award. In 2010 Professor Johnson received the Rosenblatt Award from the University of Utah and the IEEE Visualization Career Award. In 2012, Professor Johnson received the IEEE IPDPS Charles Babbage Award and in 2013 he received the IEEE Sidney Fernbach Award. In 2014, he was elected a Fellow of the IEEE.
Click here to view the seminar slides (12.6 MB, PDF)