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Jeffrey Fessler is the William L. Root Distinguished University Professor in the Electrical Engineering and Computer Science (EECS) department at the University of Michigan. His research spans medical imaging, focusing on techniques such as X-ray CT, MRI, PET, SPECT, and radiation therapy, alongside inverse problems and nonparametric estimation. Fessler has supervised diverse projects developing algorithms aimed at improving image reconstruction and predictive properties. He is affiliated with the Biomedical Engineering Department and has a profound impact on both medical and non-medical imaging. His contributions include the Michigan Image Reconstruction Toolbox (MIRT) and ASPIRE image reconstruction software, which are vital for students and researchers in the field. His recent book on Linear Algebra in Data Science emphasizes the intersection between mathematical principles and their applications in today's imaging challenges.
University of Michigan • Ann Arbor, MI
Holds a notable position in research and education within the EECS department.
Department of Electrical Engineering and Computer Science