معرفی
Mathews Jacob is an Adjunct Professor in the Electrical and Computer Engineering department at the University of Iowa College of Engineering. He holds a PhD in Biomedical Imaging from the Swiss Federal Institute of Technology (2003), an MS in Signal Processing from the Indian Institute of Science (1999), and a BSE in Electrical & Communication Engineering from the National Institute of Technology (1996). Jacob joined the University of Iowa in 2011 and is affiliated with the IEEE and IEEE Signal Processing Society.
- 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
Jacob’s research focuses on Medical Imaging, particularly Imaging Processing and Inverse Problems, with applications in MRI reconstruction, cardiac imaging, and dynamic speech imaging. His work emphasizes Deep Learning and Structured Low-Rank Algorithms for accelerating and improving image quality in clinical settings.
Recent publications highlight trends in MRI Reconstruction, Deep Learning, and Medical Image Analysis, including advancements in Cardiac MRI, Diffusion MRI, and Manifold Modeling. Notably, his work spans both Biomedical Engineering and Signal Processing, with some interdisciplinary applications in Marketing and Business Studies.
Jacob’s scientific contributions include algorithm development for MRI Acceleration, Motion Compensation, and Image Denoising. He has pioneered frameworks like MuSE, DMoCo, and DEEPEN, which integrate deep learning with mathematical optimization for robust imaging solutions.
