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Pengfei Song, Ph.D., is an Associate Professor in the Department of Biomedical Engineering at Duke University. He previously served as the Y. T. Lo Faculty Fellow and an Associate Professor of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign. His research expertise lies in ultrasound imaging technologies, specifically in super-resolution ultrasound imaging, ultrafast 3D ultrasound imaging, and applications of deep learning in ultrasound imaging. Dr. Song has published over 100 peer-reviewed journal papers, with a significant citation impact, attaining over 7000 citations and an h-index of 44 as of November 2025. His innovations have been applied in clinical settings worldwide, resulting in patents licensed by major ultrasound companies. Dr. Song's work on ultrasound shear wave elastography and microvascular imaging has led him to deliver numerous invited presentations, including at the Gordon Research Conference. He has received multiple prestigious awards, including the NIH K99/R00 Pathway Independence Award, the NSF CAREER Award, and the IEEE Ultrasonics Early Career Investigator Award. Dr. Song is an active member of various professional organizations, including being elected as a Fellow of the American Institute of Ultrasound in Medicine. His teaching has been ranked highly by students, reflecting his commitment to education and mentorship.
Department of Biomedical Engineering (MS program)