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NVIDIA Research is home to a number of front-line research projects that aim to boost the trajectories of future product technologies in the visual computing field. We are a team of world-class researchers encompassing a wide span of areas such as mobile computing, real-time rendering, high-speed clocking, programming models, GPU computing, parallel computer architectures, energy-efficient circuits, networking, and more.

Joohwan Kim

Joohwan Kim is a vision scientist in Nvidia's New Experience research group based in Santa Clara, California. Joohwan received his Ph.D. from Seoul National University in 2009, and was a postdoctoral fellow in University of California, Berkeley until 2015.

Joohwan's current interests are in understanding and improving viewer experience of various types of displays, especially regarding esports.

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.

 

Bill Dally Recieves Lifetime Achievement Award

Date

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

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.

Human Computer Interaction

Human Computer interaction

Mark Haoxing Ren

Mark Ren is Director of Design Automation Research at NVIDIA, driving innovations in AI and GPU-accelerated tools that enhance chip design quality and productivity. He brings over 25 years of research experience in EDA at IBM and NVIDIA. His work has been widely published and adopted in industry, and has received best paper awards at leading conferences such as DAC, ISPD, ICLAD, and MLCAD, as well as in the TCAD journal. He holds a PhD from the University of Texas at Austin and is an IEEE Fellow.

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