Oncel Tuzel is a principal researcher and research manager at AI Research group in Apple. Previously he served as senior principal research scientist at Mitsubishi Electric Research Laboratories (MERL), Cambridge. Prior to his Ph.D., he worked as a lead software engineer for four years in Ankara, Turkey developing 3D games and simulations.
His research interests are in machine learning, computer vision and robotics. Previously, he has contributed broadly to object and motion detection, pose estimation, object tracking, image enhancement and super-resolution, facial analysis, and video analytics with commercial applications including robotic assembly systems, video surveillance, medical systems, intelligent transportation, car navigation, satellite systems, automation, and consumer electronics. His current research topics include perception and prediction using deep neural networks, learning from simulated data, deep generative networks, structured learning, and reinforcement learning.
He has co-authored over 50 peer-reviewed publications and holds over 35 US and international patents. His work has received the best paper award in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), the best paper runner-up award in 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), honorable mention award in 2015 Robotics Science and Systems Conference (RSS), and the 2014 R&D 100 award-- awarded to 100 most innovative technology introduced in 2013.