Babak Namazi, Ph.D., is an assistant professor in the Center for Assessment of Surgical Proficiency. Dr. Namazi comes to the Department of Surgery from the Baylor Scott and White Health Research Institute, where he worked on deep learning projects, prediction models for COVID-19, and an automated system for identifying safe and dangerous zones of dissection in laparoscopy videos.
Dr. Namazi earned a Ph.D. in electrical engineering from the University of Texas at Arlington (UTA), and he focused his work on medical applications. He concurrently served as a research assistant at Baylor University Medical Center in Dallas. While at UTA, he was awarded the Dr. Shamim Sughra Malik Endowed Scholarship. He later completed a research fellowship at the Baylor Scott and White Health Research Institute. Dr. Namazi has written about the use of deep learning for surgery videos and authored a book chapter on artificial intelligence in surgery education. He has interests in artificial intelligence, deep learning, machine learning, computer vision, medical imaging, and computer-aided intervention.