Speaker: David Ebert (Purdue University, USA)
The goal of computerized image generation is to convey information to the user or viewer, whether for artistic reflection, scientific discovery, or decision making. The history of art, design, illustration, and perception form a rich basis for developing interactive computerized visual environments for discovery, engineering, and analytical decision making. The development of interactive visualization techniques to effectively, rapidly and accurately convey information can fundamentally change the pace of scientific discovery and adoption of new science into usable applications. Moreover, integrated data management, analysis, and interactive visual environments provide insight and information from the massive data generated by computer simulations, sensors, and web-based sources. The potential of these integrated environments has led to a evolution of visualization to visual analytics.
In this talk, I'll discuss the role that computer graphics and interactive integrated visualization and analytics can play in research, discovery, and deployment in a variety of application areas. We have been developing integrated visual analytics environments for a diverse set of applications from homeland security to fundamental computational science. I'll describe some of our integrated visualization, data management, and analytical solutions for weather forecasting, cloud modeling, surgical training, computational nanoelectronics, computational fluid dynamics, cancer care engineering, syndromic surveillance, agricultural food production, and emergency response.