NVIDIA announced today that it is awarding $250,000 to 10 top Ph.D. students to help solve complex visual and parallel computing challenges. Each student will receive $25,000, as well as engineering and technical support, to further their advanced research in these fields.
Participants in the NVIDIA Graduate Fellowship Program were selected from 268 applications from 28 countries. Sponsored projects involve a variety of technical challenges, including light-transport simulation, computer vision using neuroscience, and programmability and optimization for heterogeneous systems.
“NVIDIA’s commitment to funding research is producing exciting breakthroughs in science and computing,” said NVIDIA Chief Scientist Bill Dally, who headed the selection committee. “The NVIDIA Graduate Fellowship Program facilitates research by supporting some of the best and brightest minds with resources and technical support. Their work will help define the future of computing.”
Recipients of the 2010 NVIDIA Graduate Fellowship Program include:
- Albert Sidelnik, University of Illinois at Urbana-Champaign
- Anjul Patney, University of California, Davis
- Debapriya Chatterjee, University of Michigan
- Duane Merrill, University of Virginia
- Henry Cook, University of California, Berkeley
- Huy T.Vo, University of Utah
- Jonathan Ragan-Kelley, Massachusetts Institute of Technology
- Michael Bauer, Stanford University
- Nicolas Pinto, Massachusetts Institute of Technology
- Toshiya Hachisuka, University of California, San Diego
The NVIDIA Academic Research Programs have invested more than $3.2 million over the past three years in computing research that has benefited the fields of science, medicine, transportation and technology. Research conducted by past recipients of the NVIDIA Graduate Fellowship Program has produced important breakthroughs in graphics, computer vision and GPU computing. NVIDIA’s total Graduate Fellowship Awards investment now tops $2 million.
The NVIDIA Graduate Fellowship Program is open to applicants worldwide. Eligibility criteria includes completion of the first year of Ph.D. level studies in the areas of computer science, computer engineering, system architecture, electrical engineering or a related area. In addition, the student must hold a current membership on an active research team.