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I've submitted a paper on my rainfall radar research to NLDL 2024!

A screenshot of the nldl.org conference website.

(Above: A screenshot of the NLDL website)

Hey there! I'm excited that last week I submitted a paper to what I hope will become my very first conference! I've attended the AAAI-22 doctoral consortium online, but I haven't had the opportunity to attend a conference until now. Of course, I had to post about it here.

First things first, which conference have I chosen? With the help of my supervisor, we chose the Northern Lights Deep Learning Conference. It's relatively close by the UK (where I live), it's relevant to my area and the paper I wanted to submit (I've been working on the paper since ~July/August 2023), and the deadline wasn't too tight. There were a few other conferences I was considering, but they either had really awkward deadlines (sorry, HADR! I've missed you twice now), or got moved to an unsafe country (IJCAI → China).

The timeline is roughly as follows:

  • ~early - ~mid November 2023: acceptance / rejection notification
  • somewhere in the middle: paper revision time
  • 9th - 11th January 2024: conference time!

Should I get accepted, I'll be attending in person! I hope to meet some cool new people in the field of AI/machine learning and have lots of fascinating discussions about the field.

As longtime readers of my blog here might have guessed, the paper I've submitted is on my research using rainfall radar data and abusing image segmentation to predict floods. The exact title is as follows:

Towards AI for approximating hydrodynamic simulations as a 2D segmentation task

As the paper is unreviewed, I don't feel comfortable with releasing it publicly yet. However, feel free to contact me if you'd like to read it and I'm happy to hand out a copy of the unreviewed paper individually.

Most of the content has been covered quite casually in my phd update blog post series (16 posts in the series so far! easily my longest series by now), just explained in formal language.

This paper will also form the foundation of the second of two big meaty chapters of my thesis, the first being based on my social media journal article. I'm currently at 80 pages of thesis (including appendices, excluding bibliography, single spaced a4), and I still have a little way to go before it's done.

I'll be back soon with another PhD update blog post with more details about the thesis writing process and everything else I've been up to over the last 2 months. I may also write a post on the hull science festival which I'll be attending on the supercomputing stand with a Cool Demo™, 'cause the demo is indeed very cool.

See you then!

Art by Mythdael