About me

Hello! I am Quentin Bolsée, electrical and information technology engineer and PhD student at Vrije Universiteit Brussel. My work focuses on A.I., more specifically convolutional neural networks (CNN) for image processing. In my current research topic, we try to remove the noise from 3D scanning data using new types of CNN.

My background

I was born in Brussels, and started following the Electronics engineer in 2017 at ULB. My main hobbies are photography and fiddling with electronics.

I bought my first 3D printer in 2014, a bit before hearing about FabLabs. There was a a lot of improvement to be done on 3D printing back then, which was a great motivation for improving my own 3D printer with new parts.

I am currently following a PhD thesis at VUB, in the ETRO department. I am grateful to have received a FWO grant to pursue my research on machine learning and point cloud noise removal.

I showed my method works on raw Time-of-Flight data, but I am now turning towards more complex acquisition systems.

I decided to enroll for fabacademy to have more hands-on experiences, because I want my research to remain 100% applicable. Notably, I never designed my own PCB before, even though I studied electronics engineering. If my final project can be used in my research, it’s a plus, but the experience I get from this course is beneficial in any case!