I’m glad to share that I’ve been awarded an Opus grant from the National Science Centre (NCN), worth nearly 1.8M PLN, for a project on decomposing Laguerre-Gaussian beams using deep learning.
Structured light beams carrying orbital angular momentum (OAM) are a promising route to expanding the capacity of optical communications – each OAM value can act as an independent data channel. The bottleneck today is the lack of fast, single-shot methods to reliably identify which modes are present in a beam, especially under real-world, dynamic conditions.
This project aims to change that by developing a deep learning model trained on experimental data, capable of precise, single-image OAM decomposition without any interferometry involved.
It’s a direction I’ve been wanting to pursue for some time, and I’m excited to see where this one will take us.
The project includes a postdoctoral position. If you work on structured light, machine learning, or optical communications and are looking for your next step, I’d be happy to hear from you.