“leveraging novel sensing techniques and algorithms to advance computational imaging, from astronomy to medicine”…

BASP’s ethos is to develop cutting-edge research in computational imaging, from theory and algorithms to applications in astronomy and medicine.

In modern imaging applications, the next-generation algorithms devised to form images from observed data are required to deliver a new regime joint precision, robustness, and scalability. Our research spans multiple aspects of computational imaging, from theory (inverse problems, sampling, dimensionality reduction, signal recovery, uncertainty quantification), to algorithms (machine learning, convex / nonconvex optimisation, and Bayesian sampling), to applications in astronomy (aperture synthesis in radio and optical astronomy), to applications in medicine (magnetic resonance imaging, ultrasound imaging, novel imaging modalities), also including the interface with high performance computing hardware and software technologies.