A New Era of Microvascular Imaging With Super-Resolution Ultrasound Imaging

Speaker Bio: Pengfei Song, PhD is an Associate Professor of Biomedical Engineering at Duke University. He was previously an Associate Professor and Y.T. Lo Faculty Fellow at the Department of Electrical and Computer Engineering of the University of Illinois Urbana-Champaign. Dr. Song conducted both his PhD and postdoctoral training under the supervision of Drs. James Greenleaf and Shigao Chen at Mayo Clinic. His research interests include ultrafast ultrasound imaging, super-resolution ultrasound, functional ultrasound, 3D ultrasound imaging, deep learning, and ultrasound shear wave elastography.
Dr. Song has published over 100 peer-reviewed journal papers in the domain of ultrasound imaging. He holds several patents that have been licensed and commercialized by major ultrasound companies and used worldwide in the clinic. Dr. Song has delivered over 30 invited presentations. He has been regularly selected to the List of Teachers Ranked as Excellent by Their Students for his teaching career.
Dr. Song is a recipient of the NIH K99/R00 Pathway to Independence Award, the NSF CAREER Award, the NIBIB Trailblazer Award, the IEEE Ultrasonics Early Career Investigator Award, the Chan Zuckerberg Initiative (CZ) Early Career Acceleration Award, and the Campus Distinguished Promotion Award. His research program has been continuously funded by federal agencies including NIH, DOD CDMRP, NSF, and ARPA-H. He is an elected Fellow of the American Institute of Ultrasound in Medicine (AIUM), a Senior Member of the National Academy of Inventors (NAI), a Senior Member of IEEE, and a Full Member of the Acoustical Society of America (ASA).