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Hi there 👋

My name is Niels and I am a computing scientist, book enjoyer, and experienced Google Search user. As far as CS is concerned, my interests lie primarily in the field of High-Performance Computing, Computer Graphics, and Image Processing. On top of that, I also tend to enjoy doing some full-stack programming.

In my spare time, I enjoy playing around with Blender, which I first picked up around 10 years ago. Every once in a while, I post some renders on my Artstation, so if you are curious check it out below.

| Personal Website | LinkedIn | Artstation |

Project Highlight

Have a look at my latest project: NITRO. Nitro is a visual graph-based node editor for building image processing routines and was built to be easily extendable. Preview

Niels Bugel's Projects

bug-el icon bug-el

Custom Java Implementation of JUnit

c-apriori icon c-apriori

A fast C implementation of the apriori algorithm

ccheckmate icon ccheckmate

An easy-to-use unit testing framework for C applications.

cepv icon cepv

Web application that visualizes collision events based on the CERN Open Data sets.

distributed-gpu-convolution icon distributed-gpu-convolution

This repository contains a framework with a GPU implementation of generalized convolution operators. The framework is designed for large image data sets and can run in a distributed system.

improcc icon improcc

A simple image-processing framework written in C

mandelbrot-c icon mandelbrot-c

This repository contains a very simple implementation of an interactive Mandelbrot set evaluation..

nitro icon nitro

Powerful and flexible node editor that facilitates building complex combinations of various image processing techniques.

parallel-cpu-catmull-clark-subdivision icon parallel-cpu-catmull-clark-subdivision

This repository contains a fast CPU implementation of the Catmull-Clark Subdivision scheme. It makes use of a pointerless half-edge data structure to construct a number of simple, easily parallelizable algorithms.

parallel-gpu-catmull-clark-subdivision icon parallel-gpu-catmull-clark-subdivision

This repository contains a fast GPU implementation of the Catmull-Clark Subdivision scheme in CUDA. It makes use of a pointerless half-edge data structure to construct a number of simple, easily parallelizable algorithms.

potato icon potato

If you fork this then you can say you forked a potato.

qt-value-slider icon qt-value-slider

Custom widget for numbers similar to the number controls in Blender.

sle-rug icon sle-rug

SLE course at University of Groningen

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