Big Data Visual Analysis

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, Johnson 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.

About the speaker

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. Johnson founded the SCI research group in 1992, and it has since grown to become the SCI Institute employing over 200 faculty, staff and students. Johnson serves on the editorial boards of several international journals, and the advisory boards of several national research centers. He received the National Science Foundation (NSF) Presidential Faculty Fellow (PFF) award from President Bill Clinton in 1995 and the Governor's Medal for Science and Technology from Utah Governor Michael Leavitt in 1999. Johnson is a fellow of the American Institute for Medical and Biological Engineering (AIMBE), the American Association for the Advancement of Science (AAAS), the Society for Industrial and Applied Mathematics (SIAM), and the Institute of Electrical and Electronics Engineers (IEEE). He received the Utah Cyber Pioneer Award in 2009. In 2010, Johnson received the Rosenblatt Award from the University of Utah and the IEEE Visualization Career Award. In 2012, Johnson received the IEEE IPDPS Charles Babbage Award and in 2013 he received the IEEE Sidney Fernbach Award.

Schedule

3:30 - 4:30pm, 2015 Sigma Xi Lecture Big Data Visual Analysis featuring Chris Johnson with reception to follow

RSVP

RSVP to Lauren Shelby, 312.567.5030 or rsvpevents@iit.edu

Questions

Contact Elizabeth Soto for more information or questions about this event.

Sponsors

This lecture is sponsored by the IIT Chapter of Sigma Xi, the IIT Research Office, and the College of Science.

Event Topic

Data Science