About Me

Researcher and software engineer with a PhD in computer science, specialising in real-time rendering and physically based methods. Proficient in graphics APIs including DirectX 12, Vulkan, and OpenGL, with published work spanning rendering pipelines, caustics denoising, and visual debugging tools. Experienced in full-stack development and embedded systems, with a keen interest in light transport simulations and GPU computing.

Publications

Primary Author

Napoli, K., Bugeja, K., & Spina, S. (2025). Forge: Extending Anvil for Visual Evaluation of Rendering Pipelines. Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP, 259–266. https://doi.org/10.5220/0013172200003912

Napoli, K., Bugeja, K., Spina, S., & Magro, M. (2025). Spectral Transforms for Caustic Denoising: A Comparative Analysis for Monte Carlo Rendering. In N. Magnenat-Thalmann, J. Kim, B. Sheng, Z. Deng, D. Thalmann, & P. Li (Eds.), Advances in Computer Graphics (pp. 212–225). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-81806-6_16

Napoli, K., Bugeja, K., Spina, S., Magro, M., & De Barro, A. (2022). Anvil: A Tool for Visual Debugging of Rendering Pipelines. Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - GRAPP, 196–203. https://doi.org/10.5220/0010834200003124

Napoli, K., & Eulisse, G. (2016). Microservices Scheduling for ALICE O2 Facility. https://doi.org/10.5281/zenodo.60631

Co-author

De Barro, A., Bugeja, K., Spina, S., Magro, M., & Napoli, K. (2022). A Lightweight Photon Tracing Method for Visualising Caustics. Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - GRAPP, 188–195. https://doi.org/10.5220/0010833900003124

Magro, M., Bugeja, K., Spina, S., Napoli, K., & De Barro, A. (2020). Atlas Shrugged: Device-agnostic Radiance Megatextures. Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - GRAPP, 255–262. https://doi.org/10.5220/0008954902550262