· University of Maryland · College Park, Maryland
CISA focuses on physics-based computational imaging: combining data acquisition, forward models, and reconstruction algorithms to recover information beyond conventional sensor capabilities. It connects synthetic-aperture methods in remote sensing with related approaches across imaging, covering advances in theory, engineering practice, and standardization.
The technical program will be announced.
Speakers will be announced.
Forward models, measurement design, and reconstruction methods for recovering images from noisy, incomplete, or irregularly sampled data.
Physics-based models; Sampling and optimization; Compressed sensing; Uncertainty quantification.
Synthetic-aperture acquisition and reconstruction for remote observation, including sensor design and environmental measurements.
Synthetic-aperture radar and sonar; Radiometry and GNSS reflectometry; Climate and environmental monitoring.
Physical models of wave propagation and computational methods that connect optical measurements to reconstructed images.
Fourier ptychography; Holography and coded apertures; Time-of-flight imaging; Physics-based super-resolution.
Image formation and physical inverse problems in tomography, medical sensing, and astronomical observation.
MRI and ultrasound; X-ray and Doppler tomography; Radio astronomy and k-space reconstruction.
Computational microscopy and structural imaging through physical models of measurement and reconstruction from limited or noisy observations.
Synthetic-aperture microscopy; Cryo-electron microscopy; Cryo-electron tomography.
Learning methods that use imaging physics or measurement structure to support acquisition, reconstruction, and analysis. This includes VLMs for reasoning about imaging data and agentic acquisition and reconstruction workflows.
Plug-and-play reconstruction; Diffusion priors; Physics-informed methods; Vision-language models (VLMs); Agentic imaging workflows.
CISA connects researchers and engineers working on the physical and computational foundations of imaging. The 2027 conference will be hosted at the University of Maryland.