Performance-enhancing techniques for Tucker tensor decompositions in data processing - PhD defense
I spent the last four years working on my PhD at KU Leuven, so considering I worked a lot on this final presentation and it is aimed towards a very broad audience I thought it'd be nice to share it.
For context: at the KU Leuven, the public defense marks the end of a PhD and consists of a presentation that tries to explain the work in some way to laymen, followed by questions from the jury. To be clear, this procedure is almost purely ceremonial; most technical questions have already been asked at the "private defense" several weeks earlier, which includes a much more technical scientific presentation and an examination that actually determines whether or not the candidate is allowed to obtain the PhD degree.
In any case, I hope some of you find this interesting. You can actually go through the presentation (including the animations!) in your browser here: https://wout12345.github.io/public-defense/presentation.html
You can also find the electronic version of the thesis here: https://drive.google.com/file/d/14bgxwZ2UtP60WC3TwBNJ0qxqhaJhkEzW/view
Video timeline:
00:00:00 Introduction
00:01:25 Presentation
00:43:15 Questions from the jury
01:32:49 Questions from the audience
01:37:58 Proclamation
01:39:55 Supervisor's speech
01:58:32 Doctor's speech