Overview
Dr. Rosman received a BSc Summa Cum Laude, MSc Cum Laude, and Ph.D. from the Technion - Israel Institute of Technology (with the Jacobs-Qualcomm fellowship), in the Computer Science Department. During his postdoc at MIT/CSAIL, Dr. Rosman received the Technion-MIT post-doctoral Fellowship and worked with the Distributed Robotics Lab and the Sensing, Learning, and Inference group. His research interests include inference and machine learning techniques for surgical computer vision, as well as human-aware robotics, autonomous driving, and other sensing applications.
He has rich experience in the industry, including both medical and other domains -- including IBM Research, RAFAEL Ltd., Medicvision, and Invision Biometrics (Intel Realsense), as well as in the Toyota Research Institute, where he leads the Human Aware Interaction & Learning team.
His publications span papers on a variety of topics and venues, from robotics and sensor modeling and planning, through human-aware robotics and AI, to surgical workflow understanding and prediction, the role of AI in surgery. He is also the co-editor of a book on Artificial Intelligence in Surgery, published in 2021.