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It's About Time: Analyzing, Forecasting, and Reasoning with Temporal Data
Wednesday, September 12, 1:15PM – 2:30PM
POB 4.304
Niklas Elmqvist
Temporal data is prevalent in virtually all scientific domains, and permeates societal phenomena as well---examples include computer and network logs, chronological history, political poll data, stock market information, and climate measurements. Common tasks involving time for these domains include determining causality, predicting future trends, and characterizing cyclic patterns. However, these tasks are often difficult to perform because temporal analysis commonly involves long periods of time, multiple parallel time series, and complex relationships and correlations. In this talk, I will review recent and ongoing work conducted in my research group on visual analytic methods to support these tasks. More specifically, I will present TraXplorer, a visualization system supporting multi-focus interaction of time-series data, as well as results on the graphical perception of temporal visualizations, our work on supporting temporal forecasting, and findings on how analysts use time when investigating complex sequences of events.
SPEAKER BIO: Niklas Elmqvist is an assistant professor in the School of Electrical and Computer Engineering at Purdue University in West Lafayette, IN, USA. His research areas are information visualization, human-computer interaction, and visual analytics. He received his Ph.D. in December 2006 from Chalmers University of Technology in Gothenburg, Sweden. Before joining Purdue in 2008, he was a postdoctoral researcher at INRIA in Paris, France, as well as a visiting scholar at Georgia Institute of Technology. Prof. Elmqvist is the recipient of the Purdue ECE Chicago Alumni New Faculty in 2010, Google research awards in 2009 and 2010, the Ruth and Joel Spira Outstanding Teacher Award in 2012, and two best paper awards in premier venues in his field. His work has been sponsored by the National Science Foundation and the U.S. Department of Homeland Security, as well as by Google, Intel, and NVidia. He is a Co-PI of the VACCINE Center of Excellence in Visual Analytics and a member of ACM, IEEE, and IEEE Computer Society.
Hosted by Chandrajit Bajaj