Contact
Location
305 Rice Hall
Lab
326 Rice Hall
Google Scholar CV CBIG

About

Mathews Jacob is a professor in the Department of Electrical and Computer Engineering and is heading the Computational Biomedical Imaging Group (CBIG). His research interests include image reconstruction, image analysis, and quantification in the context of magnetic resonance imaging.

He obtained his B.Tech in Electronics and Communication Engineering from National Institute of Technology, Calicut, Kerala, and his M.E in signal processing from the Indian Institute of Science, Bangalore. He received his Ph.D. degree from the Biomedical Imaging Group at the Swiss Federal Institute of Technology in 2003. He was a Beckman postdoctoral fellow at the University of Illinois at Urbana Champaign.

 He is currently the associate editor of the IEEE Transactions on Medical Imaging and has served as the associate editor of IEEE Transactions on Computational Imaging from 2016-20. He was the senior author on two best paper awards (2015 & 2021) and one best machine learning paper award (2019) from IEEE ISBI. Dr. Jacob is the recipient of the CAREER award from the National Science Foundation in 2009, the Research Scholar Award from American Cancer Society in 2011,  the Faculty Excellence Award for Research from University of Iowa in 2021, and the Eminent Researcher award from the Virginia Innovation Partnership Corporation. He served as the general chair of IEEE International Symposium on Biomedical Imaging, 2020 and distinguished lecturer of the IEEE Signal Processing Society, 2025.  He was elected as a Fellow of the IEEE (2022) for contributions to computational biomedical imaging.


 

Education

PhD, Biomedical Imaging, Swiss Federal Institute of Technology, 2003

MS, Signal Processing, Indian Institute of Science, 1999

BSE, Electrical & Communication Engineering, National Institute of Technology, 1996

Research Interests

Machine Learning
Image reconstruction and inverse problems
Ultrahigh resolution brain MRI
Cardiac and pulmonary MRI
Metabolic imaging

Selected Publications

MoDL: Model Based Deep Learning Architecture for Inverse Problems, IEEE Transactions on Medical Imaging,Vol. 38, No. 2, February 2019. H.K. Aggarwal, M.P. Mani, M. Jacob
Local monotone operator learning using non-monotone operators: MnM-MOL, IEEE Transactions on Computational Imaging, in press M. John, J.R. Chand, M. Jacob
Dynamic imaging using deep generative SToRM (Gen-SToRM) model, IEEE Transactions on Medical Imaging, special issue on Deep Learning for Image Reconstruction, in press. Q. Zou, A. Ahmed, P. Nagpal, S. Kruger, M. Jacob,

Awards

Distinguished Lecturer IEEE Signal Processing Society, 2025
Eminent Researcher Virginia Innovation Partnership Corporation, 2024
Shannon Fellow University of Virginia, 2024
Fellow IEEE, 2022
Research Excellence Award University of Iowa, 2020
Research Scholar Award American Cancer Society, 2011
CAREER Award NSF, 2009

Featured Grants & Projects

Model Based Deep Learning for Ultra-High Resolution Multi-Contrast MRI NIH
Novel Computational Framework for Free-Breathing & Ungated Dynamic MRI NIH
High Resolution MR Spectroscopic Imaging for Alzheimer's Disease and Related Dementias NIH