Research Theme

Research Topics

Generative Models (Diffusion, Flow Models)
Large Language Models (LLM) - reasoning, diffusion language models, clinical LLM
Computer Vision - text-to-image generation/editing, video, 3D/4D
Healthcare AI - medical imaging, clinical decision making
AI for Science - genomics, bio discovery, inverse problems
etc

If your are interested in the latest research results, then click the following link for Arxiv papers.

ABOUT US

Our research activities are primarily focused on the signal processing and machine learning for high-resolution high-sensitivity image reconstruction from real world bomedical imaging systems. Such problems pose interesting challenges that often lead to investigations of fundamental problems in various branches of physics, mathematics, signal processing, biology, and medicine. While most of the biomedical imaging researchers are interested in addressing this problem using off-the-self tools from signal processing, machine learning, statistics, and optimization and combining their domain-specific knowledge, our approaches are unique in the sense that I believe that actual imaging applications are a source of endless inspiration for new mathematical theories and we are eager to solve both specific applications and application-inspired fundamental theoretical problems.

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