Hey there! I’m super excited to share with you all that I recently submitted a paper to the Northern Lights Deep Learning Conference (NLDL) – my very first conference submission, no less! As some of you may know, I’ve been working on this research project for quite some time now, and it’s amazing to see it finally come together in a tangible form.

So, what’s the paper about? Well, as many of you know, my research focuses on using rainfall radar data to predict floods. It may sound a bit complicated, but the basic idea is that I’m trying to train a machine learning model to recognize patterns in rainfall data that could indicate a high risk of flooding. ️❓

The paper I submitted is titled “Towards AI for approximating hydrodynamic simulations as a 2D segmentation task,” and it’s all about how I’ve been using image segmentation techniques to improve the accuracy of my flood predictions.

Now, I know some of you might be thinking, “But wait, haven’t you already talked about this research in your PhD update blog posts?” And you would be correct! As some of you may know, I’ve been sharing updates on my research journey for quite some time now, and the paper I submitted is essentially an expanded version of one of those updates.

However, there are a few key differences between the blog posts and the paper I submitted. For one thing, the paper includes more formal language and rigorous mathematical proofs, whereas the blog posts were more casual and conversational.

Additionally, the paper includes some new results and insights that I haven’t shared publicly before, so even if you’ve been following my research journey from the beginning, there’s still some fresh content to explore!

Of course, as with any academic submission, there’s always a chance that the paper might be rejected. But I’m keeping my fingers crossed that it will be accepted, and I’ll get the opportunity to present my research at the conference!

In any case, I’ll be sure to keep you all updated on my progress, whether it’s through this blog post or future PhD update posts. Thanks for following along on this journey with me, and I look forward to sharing more of my research with you soon!