Source: ACM SIGGRAPH Citation
ACM SIGGRAPH recognizes Ron Fedkiw with the 2005 Significant New Researcher Award for his excellent work advancing the use of fluid dynamics in computer graphics.
Ron received his Ph.D. in mathematics from UCLA in 1996, and then did postdoctoral studies at UCLA and Caltech before joining the Stanford Computer Science department in 2000. Prior to his work in computer graphics, Ron has made significant contributions to the field of computational fluid dynamics, including his work on very hard problems such as the simulation of multimaterial and highly reactive flows. He is the co-author, with Stan Osher of the important text Level Set Methods and Dynamic Implicit Surfaces. He has influenced the graphics world by publishing twelve SIGGRAPH papers in 5 years (among his many other publications), and he has consulted with ILM for five years on many of their notable effects for movies. In addition to his graphics work he continues to perform important research in computational dynamics.
Since entering the computer graphics field, Ron has focused his attention and considerable enthusiasm on the problems of physically based animation and modeling. Much of his work has been in the application of fluid dynamics to the simulation of smoke, fire, and water. He has championed many new technologies in the graphics community including level set based water simulation, the particle level set method, and vorticity confinement. He has also made important contributions to handling the interaction of fluids with thin and deforming objects.
In addition to his fluid dynamics work, Ron has worked on other important problems in physically based animation such as the simulation of viscoelastic bodies and the robust calculation of collisions in cloth simulation.
Despite his recent entry into computer graphics, Ron has been a mentor to a talented array of graduate students; his students play an active role in all of his research and have already begun to have a significant impact in the way we make computer generated images.