Rohan Sawhney, an alumnus of Carnegie Mellon University’s School of Computer Science, has received the 2025 SIGGRAPH Outstanding Doctoral Dissertation Award for research that redefines how computers simulate and process geometric data. His dissertation introduces a novel framework that moves beyond traditional finite element methods by applying grid-free Monte Carlo techniques to solve fundamental partial differential equations.

Presented annually at the SIGGRAPH Conference, the award recognizes recent doctoral graduates whose work advances the fields of computer graphics and interactive techniques. Sawhney completed his Ph.D. in computer science at CMU with adviser Keenan Crane, the Michael B. Donohue Associate Professor of Computer Science and Robotics.

Now a senior research scientist at NVIDIA, Sawhney’s work draws inspiration from Monte Carlo rendering methods, the crown jewel of compute graphics long used for photorealistic image generation, to develop robust simulation tools that do not require conventional meshing or discretization.

"I was inspired by the culture CMU fosters in its Ph.D. program — one that emphasizes tackling hard problems and pursuing fundamental research," Sawhney said. "My favorite part of the experience was collaborating with faculty and students who fully embraced this spirit."

For more information about the SIGGRAPH award, visit their website. Detailed information about Sawhney’s research can be found on his website.