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Ulas Bagci is an Associate Professor in the Department of Radiology at Northwestern University, holding a courtesy appointment in the Departments of Biomedical Engineering and Electrical and Computer Engineering at Northwestern, as well as in the Computer Science Department at the University of Central Florida. He serves as the director of the Machine Hybrid Intelligence Lab. His research focuses on the application of artificial intelligence and machine learning in biomedical clinical imaging. Dr. Bagci has published more than 400 peer-reviewed articles, contributing to advancements in the field. He has received significant grants from the National Institutes of Health, including R01, U01, R15, and R03, where he serves as the Principal Investigator. He plays an active role in various professional committees and serves as an associate editor for top-tier journals, including IEEE Transactions on Medical Imaging and Medical Image Analysis. Dr. Bagci is recognized nationally and internationally for his contributions to medical image computing and advanced machine learning, receiving numerous awards for his work as a paper reviewer. He has been involved in editorial services for several significant publications and remains committed to mentoring in the field of radiology.
Standard PhD requirements for TGS departments including Chemistry, Physics, and Sociology.