Head of the computer graphics branch of CGG
At Charles University since 2008.
Core research interest: computer graphics so accurate that it can be used to predict what things would look like, if they were real.
Predictive Rendering, in other words.
Of the many potential research areas within Predictive Rendering, I have over the years specialised in the following:
The last point might seem like an odd addition to this research portfolio, until one realises that optimisation of 3D print appearance critically depends on being able to predict what a 3D print-out would look like, if it were created with a specific voxel configuration. So moving the state of the art in this area forward really belongs to the rendering people, as prediction of print-out appearance is the hardest part of any such feedback loop.
A very long term project of mine is ART: The Advanced Rendering Toolkit. This is rendering research software we have used over the years to prototype various effects that do not fit well into conventional rendering software. It is still being updated, although a public release of the current version is overdue (planned for June/July 2021, as we want to publicly demonstrate an integration of our new sky dome model into a path tracer).