SCIEN

Topic: 
Complex Real-Time High-Fidelity Simulations in Visual Computing
Wednesday, January 20, 2016 - 4:15pm to 5:15pm
Venue: 
Packard 101
Speaker: 
Visiting Professor Dominik Michels (Stanford)
Abstract / Description: 

Whereas in the beginning of visual computing, mostly rudimentary physical models or rough approximations were employed to allow for real-time simulations, several modern applications of visual computing and related disciplines require fast and highly accurate numerical simulations at once; for example interactive computer-aided design and manufacturing processes, digital modeling and fabrication, training simulators, and intelligent robotic devices. This talk covers a selection of high fidelity algorithms and techniques for the fast simulation of complex scenarios; among others symbolic-numeric coupling, structure preserving integration, and timescale segmentation. Their powerful behavior is presented on a broad spectrum of concrete applications in science and industry from the simulation of biological microswimmers and molecular structures to the optimization of consumer goods like toothbrushes and shavers.

Bio:

Dominik L. Michels serves for the Computer Science Department at Stanford University and runs the High Fidelity Algorithmics Group at the Max Planck Center for Visual Computing and Communication since fall 2014. Previously, he was a Postdoc in Computing and Mathematical Sciences at Caltech. He studied Computer Science and Physics at University of Bonn and B-IT, from where he received a B.Sc. in Computer Science and Physics in 2011, a M.Sc. in Computer Science in 2013, and a Ph.D. in Mathematics and Natural Sciences on Stiff Cauchy Problems in Scientific Computing in early 2014. He was a visiting scholar at several international institutions, among others at JINR in Moscow, and at MIT and Harvard University in Cambridge, MA. His research comprises both fundamental and applied aspects on computational mathematics and physics addressing open research questions in algorithmics, computer algebra, symbolic-numeric methods, and mathematical modeling to solve practically relevant problems in scientific and visual computing. In the non-academic context, he works as a research partner in the sections of high-technology and consumer goods.