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Aswin Sankaranarayanan's research deals with understanding the interaction of light and materials, devising theories for imaging architectures to capture these interactions, and developing a deeper understanding of the world based on these interactions. His work involves high-dimensional signals and the underlying structures that can be modeled using low-dimensional representations. Specifically, he identifies low-dimensional models for high-dimensional visual signals through physics-based and learning-based methods, formulating and developing imaging architectures and algorithms that leverage low-dimensional models for efficient sensing and inference. His research keywords include roles in signal models that break traditional sensing and processing limitations, co-designing optics and imaging with novel processing techniques, utilizing non-linear signal models for efficient handling of high-dimensional data, and engaging in areas such as compressed sensing, image processing, big data, computer vision, electro-optics, and signal processing.
Carnegie Mellon University • Pittsburgh, PA
Professor in the Department of Electrical and Computer Engineering, leading research in imaging architectures and signal processing.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.