EMTS 2025 - Generative Path Selection Technique for Efficient Ray Tracing Prediction (Invited)

As I could not be physically present for the 2025 International Symposium on Electromagnetic Theory, Prof. Enrico Maria Vitucci presented our work on generative path selection for efficient Ray Tracing. The presentation contents and slides are very close to what I presented at the INTERACT COST meeting in Dublin, in January 2025. For more details on the model we used, check out the ICMLCN 2025 post.

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.

References

1. The Manim Community Developers. (2022). Manim – Mathematical Animation Framework (Version v0.17.2) [Software]. https://www.manim.community/
2. 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/2025-06-27-emts-presentation/main.py.