e-mail: my first name@dgp.toronto.edu
work phone: +1 (416) 946-8427
| Home | Publications (brief) | All Abstracts & Files | Academic Service | Completed Internships |
| I am a Ph.D candidate in the Dynamic Graphics Project lab at the University of Toronto. I completed a BASc in Honours Computer Engineering from the University of Waterloo in May 2005 and an MSc in Computer Science from the University of Toronto in October 2006. My research interests are realistic image synthesis, high-performance rendering using commodity graphics hardware and methods for real-time fluid simulation and animation. My supervisor is Dr. Eugene Fiume. I completed an internship at MSR Redmond in 2008 working on interactive illumination effects under the supervision of Dr. John Snyder. I will be conducting research at Disney Research Zurich as an intern during the summer of 2009 with Dr. Wojciech Jarosz. |
e-mail: my first name@dgp.toronto.edu work phone: +1 (416) 946-8427 |
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Vortex Based Smoke Simulation and ControlDerek Nowrouzezahrai AbstractThis thesis is an extension of our work published at the Symposium of Computer Animation with additional investigations on the performance benefits of a parallelized GPU implementation of the work, including a full re-implementation of the GPU framework. CitationDerek Nowrouzezahrai. Vortex Based Smoke Simulation and Control. Master's thesis, University of Toronto, Toronto, Canada, October 2006. [BiBTeX] Links
A controllable, fast and stable basis for vortex based smoke simulationAlexis Angelidis, Fabrice Neyret, Karan Singh, and Derek Nowrouzezahrai AbstractWe introduce a novel method for describing and controlling a 3D smoke simulation. Using harmonic analysis and principal component analysis, we define an underlying description of the fluid flow that is compact and meaningful to non-expert users. The motion of the smoke can be modified with high level tools, such as animated current curves, attractors and tornadoes. Our simulation is controllable, interactive and stable for arbitrarily long periods of time. The simulation's computational cost increases linearly in the number of motion samples and smoke particles. Our adaptive smoke particle representation conveniently incorporates the surface-like characteristics of real smoke. CitationAlexis Angelidis, Fabrice Neyret, Karan Singh, and Derek Nowrouzezahrai. A controllable, fast and stable basis for vortex based smoke simulation. In SCA '06: Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation, pages 25–32, Aire-la-Ville, Switzerland, Switzerland, January 2006. Eurographics Association. [BiBTeX] Links
GPU-accelerated ray casting of node-based implicitsChristian Lessig, Derek Nowrouzezahrai, and Karan Singh AbstractWe demonstrate that state-of-the-art GPUs are well suited for the visualization of node-based implicit surfaces that are the natural surface representation for Lagrangian simulations which are used for example for the simulation of fluids. CitationChristian Lessig, Derek Nowrouzezahrai, and Karan Singh. Gpu-accelerated ray casting of node-based implicits. In ACM SIGGRAPH 2006 Research posters, page 54, New York, NY, USA, January 2006. ACM. [BiBTeX] Links
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