Informatik, TU Wien

Visual Analytics For Discovery, Exploration, and Decision Making

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.

Abstract

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.

Biography

David Ebert is a Professor and University Faculty Research Fellow in the School of Electrical and Computer Engineering at Purdue University and directs both the Purdue University Rendering and Perceptualization Lab and the Purdue University Regional Visualization and Analytics Center. His research interests are scientific, medical, and information visualization, visual analytics, computer graphics, animation, and procedural techniques. Dr. Ebert performs research in volume rendering, illustrative visualization, realistic rendering, procedural texturing, modeling, and animation, and modeling natural phenomena. Ebert was one of creators of the subfield of illustrative visualization, applying the principles of illustration to the problem of visualizing scientific data. Ebert has been very active in the graphics community, teaching courses, presenting papers, serving on and co-chairing many conference program committees, serving on the ACM SIGGRAPH Executive Committee and serving as Editor in Chief for IEEE Transactions on Visualization and Computer Graphics. Ebert is also editor and co-author of the seminal text on procedural techniques in computer graphics, Texturing and Modeling: A Procedural Approach, whose third edition was published in December 2003.