Jeffrey A. Fessler [he/him/his] (NameCoach) is the William L. Root Collegiate Professor of EECS.
He is a Professor in the ECE Division of the Electrical Engineering and Computer Science department of the College of Engineering, located within the scenic North Campus of The University of Michigan in the terrific town of Ann Arbor, Michigan. He is also affiliated with the Biomedical Engineering Department and with the Division of Nuclear Medicine within the Department of Radiology.
The University of Michigan has been rated as the top US public university that is #1 in value and is a great place to work.




Forthcoming book from Cambridge University Press

Linear Algebra for Data Science, Machine Learning, and Signal Processing
by Jeffrey A. Fessler and Raj Rao Nadakuditi

Preview of accompanying software demos at https://github.com/JeffFessler/book-la-demo
Table of contents and chapter abstracts here.

Available in 2024. See https://www.cambridge.org/highereducation/isbn/9781009418140 for adoption information.



My research interests include medical imaging, tomography, nonparametric estimation, and inverse problems, with current and past projects in X-ray CT, MRI, PET, SPECT, radiation therapy, and image registration. I am interested both in developing algorithms for these problems, as well as analyzing and predicting the properties of these algorithms. My group works on a wide variety of imaging projects, both for medical imaging and some non-medical imaging problems. For a snapshot of our current research, see recent preprints under the "publication" link below.

Online seminars / talks Machine Learning and AI in imaging: Upcoming conferences:
Research in my group has been supported in part by generous GPU donations from NVIDIA, research support from GE Healthcare, Intel Corporation, and KLA-Tencor, as well as state and federal sources.
Jeff Fessler
fessler at umich dot edu
734-763-1434
4431 EECS Bldg., 1301 Beal Ave.
University of Michigan
Ann Arbor, MI 48109-2122