Jacob Munkberg

Jacob Munkberg joined NVIDIA Research in 2016 and is part of the real-time rendering research group. Prior to joining NVIDIA, Jacob worked as senior research scientist in Intel’s Advanced Rendering Technology team. He joined Intel in 2008 via Intel's acquisition of the computer graphics startup company, Swiftfoot Graphics, specializing in culling technology and efficient multi-view graphics. Jacob received his Ph.D. in computer science from Lund University and his M.S. in engineering physics from Chalmers University of Technology.

Jacob is currently working on machine learning for real-time graphics applications.

A complete list of prior publications can be found here.


Tomas Akenine-Möller

Tomas Akenine-Möller joined NVIDIA Research in 2016, previously working at Intel and as a professor in computer graphics at Lund University, where he founded and built the computer graphics group there. His expertise is in real-time rendering, ray tracing, and graphics hardware. In 2003, he co-authored the first Swedish SIGGRAPH papers ever, one on mobile graphics and another on soft shadows.

He is a co-author of the book Real-Time Rendering, which is widely used in the real-time graphics industry, and of a free interactive linear algebra book.

Tomas is currently is doing research on real-time rendering (surprise!).

Main Field of Interest: 

Alicia Klinefelter

Alicia Klinefelter joined NVidia in January 2017 and is currently a Research Scientist in the ASIC and VLSI research group. She completed her Ph.D. in Electrical Engineering at the University of Virginia, Charlottesville, VA, in 2015. Her Ph.D. thesis explored VLSI architectures for digital signal processing on energy-constrained SoCs and was completed under the guidance of Professor Ben Calhoun.  Her research interests include ultra-low-power circuit design, sub and near-threshold design techniques for DSPs, arithmetic and elementary function circuits, approximate computing, and design effort reduction.

NVIDIA Papers Win First and Second Best Paper Awards at HPG 2016

Monday, June 20, 2016

Best paper:

Anton S. Kaplanyan, Stephen Hill, Anjul Patney, and Aaron Lefohn, "Filtering Distributions of Normals for Shading Antialiasing"

Second Best Paper:

Chris Wyman, "Exploring and Expanding the Continuum of OIT Algorithms"

NVIDIA Co-Authored Paper Wins Best Paper Presentation at I3D 2017

Saturday, February 25, 2017

Morgan McGuire, Michael Mara, Derek Nowrouzezahrai, and David Luebke "Real-Time Global Illumination using Precomputed Light Field Probes"

NVIDIA Co-Authored Paper Wins Best Paper Award at IEEE Virtual Reality 2017

Saturday, March 18, 2017

David Dunn, Cary Tippets, Kent Torell, Petr Kellnhofer, Kaan Akşit, Piotr Didyk, Karol Myszkowski, David Luebke, and Henry Fuchs "Wide Field of View Varifocal Near-Eye Display using See-Through Deformable Membrane Mirrors"

NVIDIA Co-Authored Paper Wins Best Paper Award at IPDPS 2017

Monday, May 29, 2017

Benjamin Klenk, Holger Froening, Hans Eberle and Larry Dennison "Relaxations for High-Performance Message Passing on Massively Parallel SIMT Processors"

2017 Grad Fellows

NVIDIA Graduate Fellowship Results for 2017

We are excited to announce the 2017 NVIDIA Graduate Fellowship recipients!

We know that there is incredibly important work taking place at universities worldwide, and the NVIDIA Graduate Fellowship Program allows us to demonstrate our commitment to academia in supporting research that spans all areas of computing innovation. In particular this year, emphasis was given to students pushing the envelope in artificial intelligence, deep neural networks, autonomous vehicles, and related fields.


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