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.

Pavlo Molchanov obtained PhD from Tampere University of Technology, Finland in the area of signal processing in 2014. His dissertation was focused on designing automatic target recognition systems for radars. Since 2015 he is with Learning and Perception Research team at NVIDIA, currently holding a senior research scientist position. His research is focused on methods for neural network acceleration, and designing novel human-computer interaction systems and human understanding. On the network acceleration he is interested in neural network pruning methods and conditional inference.

Stephen joined the Learning and Perception group at NVIDIA Research in 2015 and has worked in the areas of deep learning, computer vision, and robotics. 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).

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.

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.

Bio:

Rangharajan Venkatesan is a Senior Research Scientist in the ASIC & VLSI Research group in NVIDIA. He received the B.Tech. degree in Electronics and Communication Engineering from the Indian Institute of Technology,  Roorkee in 2009 and the Ph.D. degree in Electrical and Computer Engineering from Purdue University in August 2014. His research interests include variation-tolerant design methodologies, low power SoC design, machine learning, spintronic memories, and approximate computing.

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.