Brian Zimmer

 

Brian Zimmer joined the Circuits Research Group in NVIDIA Research in 2015.  His research interests are in energy-efficient digital design, with an emphasis on low-voltage SRAM design and variation tolerance.

 

He received the B.S. degree in electrical engineering from the University of California at Davis in 2010.  He received the M.S. and Ph.D. degrees in electrical engineering and computer sciences from the University of California at Berkeley in 2012 and 2015, respectively.  During the summer in 2012, he was an intern at Nvidia in the Circuits Research Group.

 

 

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Walker Turner

Walker Turner joined the Circuits Research Group at NVIDIA in August 2015. He received the B.S. and M.S. degrees in Electrical and Computer Engineering from the University of Florida in 2009 and 2012, respectively. He received the Ph.D. degree in Electrical and Computer Engineering in 2015 with a focus on power delivery and low-power integrated circuit design. He previously interned at the U.S. Army Research Laboratory where he worked on wireless power transfer and custom integrated circuits for piezoelectric actuators. His current research interests include low-power integrated circuit design for mixed-signal and high-speed signaling applications.

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Nathaniel Pinckney

Nathaniel Pinckney received his PhD from David Blaauw’s research group at the University of Michigan in 2015. His research focused on near-threshold characterization of planar and FinFET devices, and fast voltage boosting. Prior to UM he worked for two years in Sun Microsystems’ VLSI Research group (presently Oracle Labs). His undergraduate degree is from Harvey Mudd College, where he was advised by David Money Harris.

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Sanquan Song

Sanquan Song joined NVIDIA Research in 2015. He completed his Ph.D in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. His area of research is high-speed links for high-speed computing and analog/mixed signal circuits. He has previously worked at Samsung Display America Lab from 2013 to 2015, focusing on the SerDes for large display panels; and at Intel Hudson from 2010 to 2013, developing  DDR/VMSE PHY on Intel server chips. 

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Mike Sullivan

I am from the Washington D.C. area and received a bachelor's and master's degree from George Mason University. Most recently I got a PhD from the University of Texas at Austin under the tutelage of Mattan Erez and Earl E. Swartzlander, Jr.

Ward Lopes

Ward Lopes is a Sr. Research Scientist who works on display research. His main research interests are applications of dynamic, computer generated holography and holographic optical elements in virtual-, augmented-, and mixed-reality. Prior 2015, Ward focused on self-assembly processes in soft condensed matter and applications of holography in optical micromanipulation and microscopy. Ward has publications on a variety of topics from nano-scale self-assembly and nanotechnology, bio-physics, holographic optical trapping, laser physics, to measurement techniques in the geosciences. Prior to joining NVIDIA, Ward was a physics professor at Williams College and at Mount Holyoke college, and was the Director of Product Research at Arryx, Inc. While at Arryx, he was awarded the R&D 100 Award by R&D Magazine for the 100 “most technologically significant products introduced into the marketplace” for the BioRyx200 system (a holographic optical trapping system). Ward has a Ph.D. in Experimental Condensed Matter Physics.

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Josef Spjut

Josef Spjut joined NVIDIA Research in 2013. His research interests include Computer Graphics, Virtual and Augmented Reality, Computer Architecture, Embedded Systems and Human Computer Interaction.

Previously he was a Visiting Assistant Professor of Engineering at Harvey Mudd College from 2012-2015 where he taught courses in Digital Design, Computer Architecture, Embedded Systems and Game Console Design. He received his Ph.D. from the University of Utah where he designed and simulated Ray Tracing Architectures. Josef also holds a B.S. in Computer Engineering from the University of California, Riverside where he focused on Embedded Systems.

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Xiaodong Yang

Xiaodong joined the Learning and Perception Group at NVIDIA Research in 2015. He has a broad range of research interests in computer vision, machine learning, deep learning, and multimedia analytics. He is currently working on human gesture and action recognition, image and video understanding, and dynamic facial analysis. Xiaodong received his Ph.D. degree from City University of New York (2015) and B.S. degree from Huazhong University of Science and Technology (2009). A full publication list is available on his personal webpage.

Stephen Tyree

Stephen joined the Learning and Perception group at NVIDIA Research in 2015 and has worked in the areas of deep learning, computer vision, and reinforcement learning. He completed his Ph.D. in Computer Science at Washington University in St. Louis (St. Louis, MO, USA) in December 2014. He holds a Bachelors degree in computer science and mathematics and a Masters degree in computer science, both from the University of Tulsa (Tulsa, OK, USA).

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