Perceiving the hidden
Turning faint, scattered and indirect measurements into a faithful picture of the world — including what lies out of direct view.
Most of what we want to sense never arrives cleanly. Reconstruction is the inverse problem: inferring the scene from multipath, occlusion and noise — and doing it fast enough to be useful in the field.
The result is a reusable capability across modalities — a building block for the Weibel Group, and, where it earns it, the seed of a company in Weibel Ventures.
Selected directions
Recovering scenes from scattered, indirect returns — seeing around corners.
Fusing modalities and viewpoints into one coherent scene (SAR / ISAR).
AI priors for ill-posed problems, deployable at the edge.
Exploring quantum computing for the large-scale optimisation behind reconstruction.
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