Saiprasad Ravishankar

Saiprasad Ravishankar is an Associate Professor at the Department of Computational Mathematics, Science and Engineering at Michigan State University. His research focuses on robust machine learning methods for imaging, particularly in medical imaging and computational tomography.

• Current Position: Associate Professor, MSU
• Research Areas: Machine Learning, Image Reconstruction, Medical Imaging

His recent work explores the intersection of deep learning and physics-driven models, addressing challenges in sparse-view CT, dynamic X-ray tomography, and MRI reconstruction. He has made significant contributions to untrained neural network priors and diffusion-guided optimization frameworks.

The CAREER grant-funded project on robust machine-learning for imaging highlights his emphasis on theoretical guarantees and practical algorithms for inverse problems in computational imaging. His publications demonstrate expertise in structured dictionary learning, sparsifying transforms, and reinforcement learning for imaging tasks.

Scientific awards include the NSF CAREER Award. His research benefits from collaborations with time projection chamber projects like GADGET II and emphasizes algorithmic efficiency in imaging applications.