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Ying elected fellow of AIMBE

By NICOLE CAPOZZIELLO

Published July 8, 2020

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“Leslie’s work to increase the quality and speed of MRI imaging, as well as recent work in applying machine learning to MRI, will have a significant impact on the development of MRI systems. ”
Albert Titus, professor and chair
Department of Biomedical Engineering
headshot of Leslie Ying.

Leslie Ying

Leslie Ying, Clifford C. Furnas Professor of Electrical Engineering and professor of biomedical engineering, has been elected a fellow of the American Institute for Medical and Biological Engineering (AIMBE) for her “outstanding contributions to the development and biomedical applications of fast magnetic resonance imaging with sparse sampling.”

AIMBE is a nonprofit organization whose mission is to “provide leadership and advocacy in medical and biological engineering for the benefit of society.”

Ying is among 156 new members of AIMBE’s College of Fellows. Fellows, who consist of clinicians, industry professionals, academics and scientists, have distinguished themselves through their contributions to research, practice and/or education. Nominated each year by their peers, they represent the top 2% of the medical and biological community.

“Leslie’s elevation to fellow of the American Institute for Medical and Biological Engineering provides long-deserved recognition of her many, varied and impactful contributions to the field of MRI imaging,” says Jon Bird, professor and chair of the Department of Electrical Engineering.

“As Furnas Chair, she is one of the most accomplished members of our faculty, who beyond her scholarship, has also served in key leadership roles in (the departments of) Electrical Engineering and Biomedical Engineering. This further recognition of her contributions will serve to also enhance the reputation of our departments, and I am delighted that she has been honored in this manner.”

Ying is a leader in the field of magnetic resonance imaging (MRI). Her research interests include compressed sensing, image reconstruction and machine learning for biomedical applications.

“Leslie’s work to increase the quality and speed of MRI imaging, as well as recent work in applying machine learning to MRI, will have a significant impact on the development of MRI systems,” says Albert Titus, professor and chair of the Department of Biomedical Engineering.

“Her elevation to fellow of the AIMBE is well-deserved recognition for her work.”

In addition to being named an AIMBE fellow, Ying is the recipient of an NSF CAREER award in 2009. She was elected as an AdCom member of the IEEE Engineering in Medicine and Biology Society in 2012, and currently serves as editor-in-chief of IEEE Transactions on Medical Imaging, a top-rated, highly selective journal.

Ying received her bachelor’s degree in electronics engineering from Tsinghua University and both her MS and PhD in electrical engineering from the University of Illinois at Urbana-Champaign.

Published April 22, 2020