Daniel Johnson

Daniel joined NVIDIA Research in 2012. Daniel has a B.S. in electrical engineering from the University of Texas at Austin, and M.S. and Ph.D. in computer engineering from the University of Illinois, Urbana-Champaign. He was a 2011 recipient of the NVIDIA Graduate Fellowship.

Ted Jiang

Ted Jiang joined NVIDIA research at the end of 2012 after completing his PhD in electrical engineering at Stanford University. His research interests span a wide range of interconnection networks topics from routing algorithms, congestion control mechanisms, allocator designs, router designs, topology analysis, and network simulation. His network expertise spans from network-on-chip for SoC or CMP systems to large scale system area networks for high performance computing and Datacenters. 

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Sylvia Chanak

Sylvia began her career as an ASIC engineer, and then moved into Program Management where she has enjoyed running a variety of programs and projects and helping with business operations for engineering and research groups. She is currently involved with the project management of the NVIDIA Research government programs and a variety of other activities for the Research department. She has a BSEE from UCLA and an MS Engineering Management from Santa Clara University. She is also PMP certified.


Evgeny Bolotin

Dr. Evgeny Bolotin joined NVIDIA in March 2013 and is a member of the Architecture Research Group Staff. Evgeny’s primary current focus is on the Memory System Architecture advancements and explorations for future generations of GPU SoCs. Prior to joining NVIDIA Evgeny worked at Intel, Israel where he served as a System Architect responsible for full-chip CPU system integration, as well as developing and managing the memory system architecture development incl. on-chip ring interconnect, cache and advanced memory technologies for Intel client CPUs.  Previously Evgeny also held an adjunct faculty position with Electrical Engineering Department at Technion, and worked at Infineon Technologies and I.C.COM as VLSI systems design engineer. Evgeny holds a Ph.D., M.Sc. and B.Sc. degrees in Electrical Engineering from Technion, Israel Institute of Technology.



Chris Wyman

Chris joined NVIDIA Research in 2012. Previously, he served as an associate professor of computer science at the University of Iowa. He has a PhD in computer science from the University of Utah.

His research interests focus on realistic, real-time rendering including problems on lighting, global illumination, shadows, materials, participating media, and many related issues.

Kihwan Kim

Kihwan Kim is a senior research scientist in visual computing research group at NVIDIA Research. He received Ph.D degree in Computer Science from Georgia Institute of Technology in 2011, and BS from Yonsei University in 2001. Prior to join Georgia Tech, he spent five years as an R&D engineer at Samsung and also worked for Disney Research Pittsburgh as a visiting research associate/research intern for 8 months during his graduate study.

His research interests span the areas of computer vision, graphics, machine learning and multimedia. A common thread in his research is in understanding dynamic scenes from videos, and estimating the motion and structure of geometric information extracted from the scene.  Currently, he is leading NVIDIA's SLAM projects, and also working on gesture recogntion system based on different modalities (sensors).

For a complete list of papers, slides, and demos including those published before joining NVIDIA research, see here

Xi Chen

Xi Chen joined NVIDIA's Circuits Research Group in January 2012. He received the B.S. and M.S. degrees from Zhejiang University in 2003 and 2006, respectively, and the PhD degree in electrical engineering from North Carolina State University in 2011. Prior to NVIDIA, he worked on 3D integrated circuits design methodologies, variations-tolerant circuit designs, and various analog/mixed-signal IC projects. His current research interests include high-speed signaling and clocking, and low-power circuit design.

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Orazio Gallo

I earned a M.S. degree in Biomedical Engineering from “Politecnico di Milano” (Italy) and a Ph.D. in Computer Engineering from the University of California at Santa Cruz in 2011. Before joining NVIDIA Research in 2011, I worked at the Smith-Kettlewell Eye Research Institue and interned at Canesta (now acquired by Microsoft) and Nokia Research.

My interests range from computational photography and visual perception, to computer vision. I am particularly interested in alternatives to traditional image processing pipelines, new paradigms for capturing and consuming photos (including stack-based photography), and displays that leverage human perception mechanisms to provide a more immersive visual experience. For a complete list of papers, including those published before joining NVIDIA research, see my personal website or my Google Scholar page.

I am an Associate Editor of the IEEE Trans. on Computational Imaging, and of the Elsevier journal Signal Processing: Image Communication. I am also a member of the IEEE Special Interest Group on Computational Imaging. I regularly serve on the program committees of the top computer vision and computational photography conferences (CVPR, ICCV, ICCP).


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