Giuseppe Scarlato

Ph.D. student in numerical analysis at Università degli Studi dell'Insubria

Research

My main research area is regularization methods for solving ill-posed inverse problems. In particular, I use those methods for image reconstruction (such as image deblurring). I also work with signal processing and neural networks.

Code

I write code mainly in Python. I also like C++, but I do not use it as often. I use Git for version control. I love open-source projects.

Interests

I have a wide range of personal interests. All of them are related to building things. A short list includes 3D printing, computer graphics, game development, electronics, microcontrollers, hi-fi audio, woodworking.

Publications:

  • Aleotti, S., Donatelli, M., Krause, R., Scarlato G. A Preconditioned Version of a Nested Primal-Dual Algorithm for Image Deblurring. J Sci Comput 103, 85 (2025). https://doi.org/10.1007/s10915-025-02863-8

    • Presentations:

  • A Preconditioned Version of a Nested Primal-Dual Algorithm for Image Deblurring.
    Applied Inverse Problems (AIP) 2025, Rio de Janeiro, Brazil.

    • Posters:

  • A Preconditioned Version of a Nested Primal-Dual Algorithm for Image Deblurring.
    Mathematics and Machine Learning for Image Analysis 2025, Bologna, Italy.