Scholar
Matt Pharr
Google Scholar ID: ki2rbzgAAAAJ
NVIDIA
Citations & Impact
Citations
2,592
H-index
14
i10-index
21
Publications
20
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Co-author of 'Physically Based Rendering: From Theory to Implementation' with Greg Humphreys and Pat Hanrahan, which received a Scientific and Technical Academy Award; published papers such as 'SZ Sequences: Binary-Constructed (0,2q)-Sequences'.
Research Experience
- Worked at Google; co-founded Neoptica (acquired by Intel) and Exluna (acquired by NVIDIA).
Education
- B.S. in Computer Science from Yale; Ph.D. from Stanford Graphics Lab under the supervision of Pat Hanrahan.
Background
- Distinguished research scientist at NVIDIA, working on a variety of projects related to path tracing on GPUs. Author of the widely used book 'Physically Based Rendering: From Theory to Implementation'.
Co-authors