Aditya Agrawal joined Nvidia research in 2014. He graduated from the university of Illinois at Urbana Champaign. His doctoral thesis under the supervision of Prof. Josep Torrellas was titled Refresh Reduction in Dynamic Memories. During his doctoral studies, he spent about 18 months interning for Intel Corporation contributing to the federal funded UHPC, Fast Forward and XStack projects. He was a receipient of the 2013 Intel Ph.D. fellowship award.
Before starting his doctoral studies, from 2007 to 2009, he worked as an engineer in Hsinchu, Taiwan for Taiwan Semiconductor Manufacturing Company (TSMC). He completed his Dual Degree (a Bachelors in Electrical Engineering and a Masters in Microelectronics) in 2007 from IIT Bombay, India.
Computer Architecture, Low Power Computer Architecture, Dynamic Memories (eDRAM / DRAM), Process Variation, 3D Stacking, Thermal Management
Timo Aila joined NVIDIA Research in 2007 from Helsinki University of Technology, where he led the computer graphics research group. His expertise ranges from real-time rendering in computer games (eg. Max Payne, third-party engine development for numerous games, the first commercial occlusion culling library Umbra) to hardware architectures, and also to high-quality image synthesis with contributions to the PantaRay rendering system used in Avatar, Tintin, and Hobbit. He also gained expertise in mobile graphics as the chief scientist of Hybrid Graphics, which was acquired by NVIDIA in 2006.
Timo is currently working on machine learning in content creation and graphics. Previously he had a central role in NVIDIA’;s research efforts on ray tracing, stochastic rasterization, and light field reconstruction.
Deep Learning in Graphics, Dataflow in Massively Parallel Architectures, Computational Photography, Image Processing, Rendering Algorithms
Kaan Akşit received his B.S. degree in electrical engineering from Istanbul Technical University, Turkey in 2007, his M.Sc. degree in electrical power engineering from RWTH Aachen University, Germany in 2010, and his Ph.D. degree in electrical engineering at Koç University, Turkey in 2014. His research through PhD was focused on autostereoscopic displays.
In 2009, he joined visual experiences group at Philips Research, Eindhoven, the Netherlands, where his research interests included smell-o-vision devices, and optical medical sensing. In Spring 2013, he joined Disney Research, Zurich, Switzerland as an intern, where he worked at Visible Light Communication project. Since July 2014, he works as a researcher on display technologies at Nvidia Research.
His research interests are 3D displays, Head Mounted Displays, and displays in general.
Bob Alfieri joined NVIDIA in 1999 and has over 25 years of experience in hardware and software engineering. At NVIDIA, he has worked as a digital designer and technical leader on various GPUs and chipsets, and has created common logic and methodologies used in all NVIDIA chips. He joined NVIDIA Research in 2011, focusing on scalable operating systems and high-level hardware languages. Prior to NVIDIA, he worked at SGI on high-end graphics chips, and at Data General on multiprocessor operating systems and compilers.
He holds approximately 25 issued patents. He graduated with a B.S. in Computer Science from Northwestern University in 1985.
Computer Architecture, Parallel Programming Systems, Domain-Specific Languages
Nir Arad joined NVIDIA Research in February 2014 as senior research scientist in the Networking Research group. Prior to NVIDIA, he worked 6 years for Mellanox Technologies Limited, based at Yokneam, Israel, as a senior architect. Prior to Mellanox, Nir worked 10 years for Marvell Israel Limited, also based at Yokneam, Israel, which is part of the Marvell Technology Group, based at Santa Clara, CA. Nir served as co-chair of the Link Working Group (LWG) of the Infiniband Trade Association (IBTA) between 2008 and 2013. Nir holds B.Sc. and a Master’s degree, both in Electrical Engineering, from the Technion, Israel Institute of Technology. In the course of his career, Nir was responsible for multiple innovations and award winning products in the companies he worked for. He has 14 patents in various stages of application. You can find his detailed profile here .
Computer Architecture, Network Architecture, High Performance Computing, High Speed Interconnect Networks
Michael Bauer joined NVIDIA Research in October of 2014 after finishing his PhD in computer science at Stanford University. As part of his thesis, he developed the Legion programming system for high performance supercomputing codes. Legion is currently deployed in several production applications running on the top supercomputers in the world. Michael was also the primary author of both the CudaDMA library and Singe DSL compiler, both of which were early examples of warp-specialized GPU programming.
High Performance Runtime Systems, Performance Portable Programming Models for Supercomputing, Staged Meta-Programming, Resilient Distributed Systems, Warp-Specialized GPU Programming