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).

Angshuman Parashar

Dr. Angshuman Parashar joined NVIDIA in 2015 and is a member of the Architecture Research Group. His research focuses on building and evaluating architectures for spatial and data-parallel algorithms. Prior to NVIDIA, he was a member of the VSSAD group at Intel, where he worked with a small team of experts in architecture, languages, workloads and implementation to design and evaluate a new spatial architecture.

Parashar received his Ph.D. in Computer Science and Engineering from the Pennsylvania State University in 2007, and his B.Tech. in Computer Science and Engineering from the Indian Institute of Technology, Delhi in 2002.

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Aamer Jaleel

Dr. Aamer Jaleel joined NVIDIA in 2015 and is a member of the Architecture Research Group (ARG). His research work focuses on cache and DRAM systems, workload scheduling, performance modeling, and workload characterization. Prior to joining NVIDIA, he was a Principal Engineer at Intel Massachusetts Inc. in the VSSAD research group. During his decade-long career at Intel, his research work contributed towards enhancement in performance modeling and cache hierarchy improvements of Intel’s next generation microprocessors. In the Fall of 2014, during his extended sabbatical from Intel, he also served as a Visiting Professor at the University of Minnesota, Minneapolis-St. Paul where he co-taught a graduate computer architecture course.

Jaleel received his Ph.D. in Electrical Engineering from the University of Maryland, College Park in 2006. He received his B.S. and M.S. in Computer Engineering also from the University of Maryland, College Park in 2000 and 2002 respectively. Jaleel has co-authored more than a dozen patents and over 30 technical publications.

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Tim Foley

Tim joined NVIDIA in 2015, and pursues research on programming models, languages, and APIs for real-time graphics and games.

Tim has previously contributed to languages and compilers for computing on GPUs, GPU-accellerated ray tracing, and novel shading languages for real-time graphics. Tim received a Ph.D. in Computer Science from Stanford in 2012.

Cris Cecka


Dr. Cris Cecka joined NVIDIA Research in 2015 to deploy his interests in developing advanced numerical algorithms and software. Previously, Cris worked at the new Institute for Applied Computational Science at Harvard University as a research scientist and lecturer, where he developed courses on parallel computing and robust software development in scientific computing. He also worked in the Mathematics Department at the Massachusetts Institute of Technology as a research associate, where he focused on developing and applying integral equation methods and generalized N-body problems via hierarchical matrix factorizations. He received his Ph.D. from Stanford University in computational and mathematical engineering in 2011.



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