Shivansh Rao

Shivansh leverages expertise in computer vision, signal processing, and deep learning to develop image registration and restoration algorithms for mobile imaging. Prior to Glass, he worked at Qualcomm R&D on hardware-efficient algorithms for 6DoF head-pose-tracking and 3D Reconstruction. He earned his Master's degree from Penn State and Bachelor's from Delhi College of Engineering and has conducted research work at IIT-Kanpur, IIT-Delhi along with collaborative research with Google AI. His research is published at CVPR, ECCV, ACM-MM, and others, along with pending US patent applications. When he’s not making neural networks learn, Shivansh is out learning to surf and play tennis!