Mohammad Rastegari is a Research Scientist at AI2. His main area of research relies on the intersection of Computer Vision and Machine Learning. Previously, he was a Facebook Fellow, a visiting scholar at UC Berkeley, and he received his Ph.D. from The University of Maryland. Mohammad is one of the creators of Xnor-Net: an efficient deep learning model for resource constraint compute platforms. Mohammad finished his Bachelor's Degree from the Shomal University of Amol, and his Master's Degree from the University of Science and Research in Tehran where he was also a member of the computer vision lab at the Institute for Research in Fundamental Science.