EuCAP 2026 - Fast, Differentiable, GPU-Accelerated Ray Tracing for Multiple Diffraction and Reflection Paths

I’m happy to say that we received the best propagation paper award!

At EuCAP 2026, I presented our paper Fast, Differentiable, GPU-Accelerated Ray Tracing for Multiple Diffraction and Reflection Paths (Eertmans et al., 2025). The work introduces a unified and GPU-friendly formulation for differentiable ray tracing over mixed reflection and diffraction paths, with an emphasis on scalable optimization and implicit differentiation.

As our paper has been nominated for the best propagation paper award, we also prepared a poster to present our work at EuCAP. You can find it below.

Slides

The following slides are made with RevealJS and are interactive!

Use basic keys like LEFT and RIGHT to navigate through slides, or F to go full screen; you can also click on S to enter the speaker view, which shows the current slide, the next slide, and the speaker notes. For more keyboard shortcuts, see the RevealJS documentation.

The slides were generated using the Manim (The Manim Community Developers, 2022) animation engine and Manim Slides (Eertmans, 2023), one of my open source projects, to combine the animations into slides and later convert them to a RevealJS .html file.

If you prefer, PowerPoint and PDF versions are also available.

Poster

References

1. Eertmans, J., Lequeu, S., Legat, B., Jacques, L., & Oestges, C. (2025). Fast, Differentiable, GPU-Accelerated Ray Tracing for Multiple Diffraction and Reflection Paths. https://arxiv.org/abs/2510.16172
2. The Manim Community Developers. (2022). Manim – Mathematical Animation Framework (Version v0.17.2) [Software]. https://www.manim.community/
3. Eertmans, J. (2023). Manim Slides: A Python package for presenting Manim content anywhere. Journal of Open Source Education, 6(66), 206. https://doi.org/10.21105/jose.00206

Source code

Available on GitHub: _slides/2026-04-20-eucap-presentation/main.py.