24/09/2018 12:06pm
RT @sabinehauert: We’re hiring a postdoc in computational nanomedicine! Pls RT [LINK]
24/09/2018 12:03pm
RT @petitegeek: The first time giving a 60min talk on my specific passion - affective computing! Robots x affect is my jam. Note: I talk ab…
13/09/2018 12:15pm
RT @sabinehauert: We’re hiring a postdoc in microfluidics for nanomedicine. Join an exciting cross disciplinary group working across nanome…
13/09/2018 12:13pm
Have you written #data #analysis code in #python but now it's too slow? Here is how you can off-load the computatio… [LINK]


The Matlab code published here was written during my Masters studies at Sussex as well as shortly after when my I did an online Stanford University course in machine learning. I cover basic Matlab operations, linear and logistic regression, neural networks and support vector machines.


The main purpose of pyCreeper is to wrap tens of lines of python code, required to produce graphs that look good for a publication, into functions. It takes away your need to understand various quirks of matplotlib and gives you back ready-to-use and well-documented code.

Novelty detection with robots using the Grow-When-Required Neural Network

The Grow-When-Required Neural Network implementation in simulated robot experiments using the ARGoS robot simulator.

Fast Data Analysis Using C++ and Python

C++ code that processes data and makes it available to Python, significantly improving the execution speed.

Designing Robot Swarms

This project looks at the challenges involved in modeling, understanding and designing of multi-robot systems.

Robustness in Foraging E-puck Swarms Through Recruitment

Swarms of five e-puck robots are used in a semi-virtual environment, facilitated by the VICON positioning system. Recruitment can make swarms more robust to noise in robot global positioning data.