Sundaresh Ram is a research assistant professor in the Department of Radiology at the University of Michigan, Ann Arbor. He is affiliated with the university’s Rogel Cancer Center, Precision Health and e-Health and Artificial Intelligence (e-HAIL) initiatives, and the Center for Molecular Imaging. He also collaborates with the U-M Biomedical Research Core Facilities.
Sundaresh received the B.E. degree in Electrical and Electronics Engineering from Anna University, Chennai, India in May 2007 and the M.S. and Ph.D. degrees in Electrical and Computer Engineering from The University of Arizona, Tucson, in December 2010 and July 2017, respectively. He was a postdoctoral research fellow in the School of Electrical and Computer Engineering and the Meinig School of Biomedical Engineering at Cornell University, Ithaca, NY, from August 2017 to September 2018 and a postdoctoral research fellow in the Department of Radiology and the Department of Biomedical Engineering at the University of Michigan from October 2018 to April 2023.
Sundaresh’s research interests include multidimensional signal processing/analysis, computational imaging, pattern recognition, machine learning, and inverse problems, along with applications of these methods to various imaging technologies in conventional and medical imaging, biological sciences, and data science. He has developed solutions for multiple applications in the area of advanced signal, image, and video processing, involving various data modalities, such as microscopy, CT, SPECT, MRI, and natural images and video. Research topics include sparsity-based image restoration, image reconstruction, graph theoretic image segmentation, non-rigid image registration, motion estimation, object detection and tracking, image classification and phenotyping, data regularization and optimization, and feature extraction. He is a member of Institute of Electrical and Electronics Engineers (IEEE), the international Society of Photo-optical Instrumentation Engineers (SPIE), the Society of Industrial and Applied Mathematics (SIAM), and the American Thoracic Society (ATS).
Areas of Interest
Signal, image, video processing/analysis, computational imaging, pattern recognition, machine learning, computer vision, and inverse problems.
Ph.D., Electrical and Computer Engineering, The University of Arizona
M.S., Electrical and Computer Engineering, The University of Arizona
B.E., Electrical and Electronics Engineering, Anna University, Chennai, TN, India