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Pengfei Song
Pengfei Song
Assistant Professor
(217) 300-9763
4041 Beckman Institute

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Education

  • Ph.D. in Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, MN, 2014
  • M.S. in Biological Systems Engineering, University of Nebraska-Lincoln, Lincoln, NE, 2010
  • B.S. in Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, China, 2008

Biography

Dr. Pengfei Song is an Assistant Professor of the Department of Electrical and Computer Engineering. He is also a full-time faculty member at the Beckman Institute for Advanced Science and Technology, and an affiliate faculty member with the Carle Illinois College of Medicine and the Department of Bioengineering. He was previously an Assistant Professor of Biomedical Engineering and Radiology, and an Associate Consultant in the Department of Radiology at Mayo Clinic. His research interests focus on ultrafast ultrasound imaging, ultrasound microvessel imaging, and ultrasound shear wave elastography. Dr. Song has published over 60 peer-reviewed journal papers on topics of ultrasound shear wave elastography, ultrafast microvessel imaging, and super-resolution microvessel imaging. Dr. Song holds several patents that have been licensed and commercialized by major ultrasound companies, installed on top-tier ultrasound scanners and used worldwide to benefit patients. Dr. Song is an awardee of the NIH K99/R00 Pathway to Independence Award and the NIBIB Trailblazer Award. He is an elected Fellow of the American Institute of Ultrasound in Medicine (AIUM) and a senior member of the National Academy of Inventors.

Professional Highlights

  • Fellow, American Institute of Ultrasound in Medicine (AIUM)
  • Senior Member, National Academy of Inventors
  • Senior Member, IEEE
  • NIH/NIBIB Trailblazer Award
  • NIH Pathway to Independence Award (K99/R00)
  • Edward C. Kendall Alumni Award for Meritorious Research, Mayo Clinic Alumni Association
  • Multiple patents licensed and commercialized by major ultrasound companies
  • (April 2021): 69 peer-reviewed journal articles, 4 book chapters, 13 patents issued worldwide, and over 2700 paper citations.

Research Interests

  • Ultrafast ultrasound imaging
  • Super-resolution ultrasound microvessel imaging
  • Ultrasound elastography
  • Ultrasound beamforming and signal processing
  • Functional ultrasound imaging
  • Deep learning-assisted ultrasound imaging

Research Areas

Selected Articles in Journals

Honors

  • Edward C. Kendall Alumni Award for Meritorious Research, Mayo Clinic Alumni Association (2018)
  • Introduction to Academic Radiology for Scientists (ITARSc) Program, Radiological Society of North America (November, 2017)
  • Fellow, American Institute of Ultrasound in Medicine (AIUM)
  • Senior Member, National Academy of Inventors (NAI)

Teaching Honors

  • List of Teachers Ranked as Excellent By Their Students (ECE472, Biomedical Ultrasound Imaging) (Spring 2020)

Research Honors

  • NIH K99/R00 Pathway to Independence Award (2017-2022)
  • American Heart Association Postdoctoral Fellowship (2014-2016)
  • AIUM New Investigator Award Honorable Mention (2014)
  • IEEE UFFC Society Student Paper Competition Award (2012)

Courses Taught

  • BIOE 380 - Biomedical Imaging
  • ECE 210 - Analog Signal Processing
  • ECE 211 - Analog Circuits & Systems
  • ECE 380 - Biomedical Imaging
  • ECE 472 - Biomedical Ultrasound Imaging