Peter is a Research Scientist at NVIDIA. Previously he has been a PhD candidate at the National University of Singapore, and he also held visiting research appointments at MIT and CMU.

Peter's research vision is to build human-level robot intelligence by combining structure and learning. His interests cover robotics, machine learning, and autonomous vehicles. His recent works are on neural networks that encode differentiable robot algorithms in order to learn partially observable planning, visual navigation, mapping and localization tasks.

Karu's research has pioneered the principles of dataflow computing, focusing on the role of architecture, microarchitecture and the compiler. His research breakthroughs include constraint-theory based compilation for spatial architectures, specialized datapaths that can be dynamically configured, hybrid dataflow von-Neumann execution, new dataflow execution models that combine streaming and dataflow. His work has been featured in industry forums of Mentor and Synopsys, and has been covered by the New York Times, Wired, IEEE Spectrum, and Microprocessor Report.

Chen-Hsuan Lin is a senior research scientist at NVIDIA Research. He received his Ph.D. in Robotics from Carnegie Mellon University, where he was advised by Simon Lucey. His research interests are computer vision, computer graphics, and generative AI applications, with a focus on 3D reconstruction and neural rendering problems for 3D content creation.

I am a research scientist associated with the autonomous vehicle research group at Nvidia. I'm interested in planning and decision making of safety-critical autonomous systems and multi-agent systems.  

Hello! I joined NVIDIA Research in July 2021 after completing my PhD at Carnegie Mellon University. My research interests are in designing architecture support for optimizing sparse, irregular workloads (for example, graph analytics). More information about my research can be found at my website (https://bvignesh.github.io/)

Publications at NVIDIA

Yoni Kasten joined NVIDIA Research in July 2021. 

His research is mostly in the domain of 3D computer vision (e.g. Camera Localization, Structure From Motion and 3D reconstruction) and has recently focused on deep neural models for computer vision problems that involve geometry.

Yoni completed his Ph.D. under the supervision of Prof. Ronen Basri at the Weizmann Institute in Israel. Prior to that, he completed his M.Sc. with Prof. Shmuel Peleg and Prof. Michael Werman from the Hebrew University of Jerusalem, Israel.