“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.