Donghyuk Lee

Donghyuk Lee is a research scientist in the Architecture Research Group. The primary research focus is enabling high bandwidth and energy efficient memory systems in future GPUs.

 

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Bill Dally Recieves Lifetime Achievement Award

Date: 
Wednesday, September 16, 2015

Japan's largest IT society, the Information Processing Society of Japan (IPSJ), honored NVIDIA Chief Scientist and Senior Vice President of Research Bill Dally with the Funai Achievement Award for his extraordinary achievements in the field of computer science and education. See more here.

Graduate Fellowships Awarded for 2016-2017

Date: 
Thursday, April 7, 2016

Six Graduate Fellowship winners were announced at GTC 2016 on April 7, 2016. They each receive a $25,000 grant toward their PhD research that involves GPU computing.

Mark Ren

Mark Ren's research interest is in EDA and design methodology. He worked at IBM EDA Lab from 2000 to 2006 where he was the key developer of placement tools. He joined IBM Research DA group in 2007 where he led the development of  logic ECO synthesis tools and high level synthesis tools. Prior to joining NVIDIA Research in May 2016, he was a technical executive at PowerCore, a startup developing server-class CPUs as part of the IBM OpenPower initiative.  Mark earned a PhD degree in Computer Engineering from University of Texas at Austin, a M.S. degree in Computer Engineering from Rensselaer Polytechnic Institute, and a B.S. degree in Electrical Engineering from Shanghai Jiao Tong University.

2016 Grad Fellows

NVIDIA Graduate Fellowship Results for 2016

We are excited to announce the 2016 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.

2015 Grad Fellows

NVIDIA Graduate Fellowship Results for 2015

We are excited to announce the 2015 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.

Nikola Nedovic

Nikola Nedovic joined NVIDIA Research in 2016. He received a Dipl.Ing. degree in electrical engineering from the University of Belgrade, Serbia, in 1998 and the Ph.D. degree from the University of California at Davis, in 2003. Before joining NVIDIA, he was a senior researcher and research manager at Fujitsu Laboratories of America, Inc., Sunnyvale, CA, where he worked on circuits and systems for electrical and optical communications, and energy-efficient VLSI implementations of machine learning computing systems. His research interests include high-speed analog and mixed-signal circuits for wireline communications, design and modeling of large mixed signal systems, adaptation and learning algorithms, and circuit design and clocking strategies for high-performance and low-power digital applications. 

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Daniel Lustig

Dan Lustig joined NVIDIA Research in December 2015.  He works in the area of computer architecture, with a particular focus on system architecture, memory system design, and memory consistency models.  His PhD thesis focused on specifying and verifying microarchitectural enforcement of memory models.

Dan received his PhD from Princeton in November 2015 under the supervision of Margaret Martonosi.  He received his MA from Princeton in 2011 and his BSE from the University of Pennsylvania in 2009.  He also received an Intel PhD Fellowship in 2013.

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Jinwei Gu

Jinwei Gu is a Senior Research Scientist in Dr. Jan Kautz's Learning and Perception Research (LPR) group. Before joining NVIDIA, he was a senior researcher in the America Media Lab in Futurewei Technologies. From 2010 to 2013, he was an assistant professor at the Munsell Color Science Laboratory (MCSL) in the Center for Imaging Science at Rochester Institute of Technology (RIT). Jinwei received his PhD degree from Columbia University in May 2010, and his bachelor and master degree from Tsinghua University, China in 2002 and 2005. His research interests are computer vision, computational photography, machine learning and computer graphics. His current research focuses on 3D computer vision, Visual SLAM, and augmented reality, and multi-camera systems for immersive media. More details on his research work can be found on his webpage

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