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title EuCAP 2026 - Fast, Differentiable, GPU-Accelerated Ray Tracing for Multiple Diffraction and Reflection Paths
categories
Research
Software
tags
manim
manim-slides
presentation
programming
propagation
ray-tracing
github jeertmans/fpt-jax
publication_id eucap2026
image
path alt
/assets/img/posts/dublin-ccd.jpg
Convention Center Dublin, Ireland - Image from EuCAP 2026's website
permalink /posts/eucap2026/
redirect_from /posts/eucap2026-presentation/
description Presentation slides and code for my talk at EuCAP 2026 (Best Propagation Paper Award!).

I'm happy to say that we received the best propagation paper award! {: .prompt-info }

At EuCAP 2026, I presented our paper Fast, Differentiable, GPU-Accelerated Ray Tracing for Multiple Diffraction and Reflection Paths {% cite Eert2604:Fast %}. 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

{% include slides.html url="/assets/slides/2026-04-20-eucap-presentation.html" %}

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

Poster

<iframe src="/assets/pdf/2026-04-20-eucap-poster.pdf" width="100%" height="415px" allowfullscreen></iframe>

References

{% bibliography --cited %}

Source code

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