This workshop highlights the use of high-resolution measurements of time delay to produce richer images and scene information. The broader aim is to connect sensing hardware, inverse methods, and computation in applications where simultaneous spatial and temporal resolution is essential.
In many imaging systems, hardware exposure times are far too slow relative to the variations present in the scene, so the delay axis is effectively discarded. Time-resolved imaging changes that picture. It opens the door to depth perception, 3D scene understanding, and high-speed phenomena reconstruction, but it also demands computational approaches beyond classical Shannon–Nyquist sampling.
The workshop is designed for researchers and engineers interested in hardware–software co-design, sparse and computational reconstruction, noise-robust inference, and next-generation sensing systems across multiple scientific domains.
