Brad Sutton

Brad Sutton
Brad Sutton he/him/his
  • Professor
(217) 244-5154
1215C Beckman Institute

For More Information

Education

  • Ph.D., Biomedical Engineering, University of Michigan, 2003

Biography

Dr. Sutton joined the Bioengineering Department at the University of Illinois in January, 2006. Dr. Sutton received a B.S. in General Engineering from the University of Illinois at Urbana-Champaign. He earned M.S.'s in Biomedical and Electrical Engineering and a PhD in Biomedical Engineering from the University of Michigan in 2003. He has affiliations with the Beckman Institute, Electrical and Computer Engineering Department, and the Neuroscience Program. His research interests are in developing magnetic resonance imaging acquisition, image reconstruction, and systems modeling approaches to understand brain function.

Academic Positions

  • Health Innovation Professor, Carle Illinois College of Medicine, 8/2022 - 7/2027
  • Professor, Bioengineering Department, University of Illinois at Urbana-Champaign, 8/2017-present
  • Abel Bliss Scholar, College of Engineering, UIUC 2014-
  • Technical Director, Biomedical Imaging Center, Beckman Institute, University of Illinois at Urbana-Champaign, 5/2014-present

Research Interests

  • Neuromuscular coupling
  • Image Reconstruction
  • Magnetic Susceptibility
  • Diffusion Weighted Imaging
  • Dynamic Imaging
  • Functional Magnetic Resonance Imaging

Research Areas

  • Biomedical imaging
  • Biomedical Imaging, Bioengineering, and Acoustics
  • Biosensors and bioelectronics
  • Diffusion weighted imaging
  • Dynamic imaging
  • Functional MRI
  • Image reconstruction
  • Instrumentation
  • Magnetic susceptibility
  • MRI
  • Neural engineering (general)
  • Neuromuscular coupling
  • Systems modeling approaches to understand brain function

Research Topics

Selected Articles in Journals

Professional Societies

  • AIMBE Member since 2017
  • IEEE, member since 2001.
  • International Society of Magnetic Resonance in Medicine, member since 1999.

Recent Courses Taught

  • BIOE 302 - Modeling Human Physiology
  • BIOE 420 - Intro Bio Control Systems
  • BIOE 572 - Biological Measurement II