Emad Barsoum is a Principal SDE and Applied Researcher in the Advance Technology Group at Microsoft Research. His current research focus is on computer vision and deep learning algorithms, especially in the areas of emotion recognition, activity detection/recognition and caption generation from video and image signals.
Emad was one of the core developer and researcher behind the Emotion Recognition Algorithm used in MS Cognitive Service for both still image and video. Before that, he was one of the main Architects for NUI API in Xbox One, and developed the depth reconstruction algorithm for Kinect 2 in collaboration with Microsoft Research. Furthermore, he helped developing and shipping fitness algorithm from skeleton and real-time image segmentation algorithm based on geodesic transform for Kinect 2.
Emad received his M.S. degree in EECS from UC. Irvine 2004, focused on Computer Vision and Virtual Reality, and B.S. degree in EECS from Ain Shams University 2000. He is currently pursuing a doctorate degree in the Computer Science department of Columbia University.
