Sameh Khamis

I am a Principal Research Scientist at Nvidia. I work on the research and development of real-time, interactive systems at the intersection of computer vision, graphics, and machine learning.



I am currently a Principal Research Scientist at Nvidia, mainly working on machine learning-based 3D content synthesis.


I was a Senior Research Scientist in Google AR/VR. I was also the tech lead for machine learning in ARCore [Video], where I worked on enabling AR on smartphones. I built the infrastructure for cross-dataset training and model distillation and compression. I also worked on efficient models for depth estimation from passive and active stereo, from motion, and from a single image, and I worked on human pose estimation, neural rendering, and image matting.


I was a Senior Scientist and a Founding Team Member at perceptiveIO. I built a state-of-the-art 360 performance capture system for real-time reconstruction of arbitrary non-rigid scenes. We were acquired by Google.


I was a Researcher in the Interactive 3D Technologies (I3D) group at Microsoft Research, where I worked on Holoportation [Video]. This work was covered by ZDNet, Gizmodo, VentureBeat, Mashable, Engadget, and Wired, among others. This technology was running live on stage at TED 2016. I also worked on hand tracking from depth cameras.

University of Maryland

I received a PhD in computer science from the University of Maryland. I worked with Larry Davis at the Institute for Advanced Computer Studies (UMIACS). My thesis was on multi-person activity recognition from video sequences. I also interned at Siemens, IST Austria, MSR Cambridge, and SRI International.

University of Western Ontario

I received a MSc in computer science from the University of Western Ontario, where I worked with Yuri Boykov. My thesis was on semantic image segmentation. I also wrote a parallel out-of-core push-relabel algorithm.