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CS Graduate Seminar: Whole-Cell Visualization and Modeling

Start Date: November 26, 2018
End Date: November 26, 2018

By Professor Ivan Viola (KAUST)
 
Computer graphics technology nowadays can interactively display billions of atoms forming structures up to entire biological organisms such as bacteria or protista. The key insight that allows it is the following: while biology is immensely complex it is also very repetitive, which could be exploited in coping with complexity. Life forms are internally composed of evolutionary successful patterns that are frequently repeated. This repetition, or multi-instancing in our terminology, can be observed on every level of spatial organization. Thanks to such patterns, model construction of the entire life form can be efficiently parallelized and consequently displayed using fast rendering routines, where both stages are executed on the graphics hardware. In terms of complexity, resulting scenes are of multi-scale, multi-instance, crowded, and dense three-dimensional nature. To effectively convey such complex structural arrangement, visualization algorithms need to cope with all of these structural characteristics simultaneously. This need triggers the necessity of visualization algorithms that handle novel problems in 3D occlusion management, color assignment, shading, or textual labeling. New algorithms can take again advantage of structural hierarchy, and repetitiveness.  Another successful strategy is to tame the complexity with efficient view-guided image-space algorithms. Instead of computationally-demanding algorithms that compute the solution globally for the entire model, these techniques focus on a local solution that is perfectly tailored for limited viewpoint settings, but can be calculated for each image without notably penalizing the overall visualization performance. All these new algorithms lead to gradual democratization of computer graphics and visualization technology for structural biology. Ultimately, the advances lead into new exciting ways how biology can be explored, understood, and communicated in the future.
 
Bio: Ivan Viola is an Associate Professor of Computer Science at the King Abdullah University of Science and Technology, Saudi Arabia. He received M.Sc. in 2002 and Ph.D. in 2005 from TU Wien, Austria. Afterwards, in 2006 he joined the University of Bergen, Norway as a Postdoctoral researcher and contributed to a buildup of a new research group on visualization at the Institute of Informatics. In 2008 he was promoted to Associate Professor and in 2011 to Full Professor at the University of Bergen, Norway. During this period he was also appointed as a scientific adviser at the Christian Michelsen Research, Norway. In 2013 after receiving a competitive research grant from Vienna Science and Technology Fund he re-joined TU Wien to as an Associate Professor. Currently, he is establishing the Nanovisualization Research Group as a part of the Visual Computing Center.
 

More Information:

Date: Monday 26th Nov 2018
Time:12:00 PM - 01:00 PM
Location: Building 9, Lecture Hall 1 Room 2322
Refreshments: Light Lunch will be served at 11:45 AM