Here you find a few projects I have participated in during my studies. In the software tab I display some one of the computer programs I developed to solve the problems.

RESAAS Services Inc.
Initiated contact with RESAAS for a volunteer position. Created a computer program in C# such that RESAAS can monitor the growth of its website. The software uses the current data to predict the increase in traffic and the growing demand on the database.

Web Analytics
For four months I was employed by Adversitement B.V. This company specializes in effective web analysis solutions for optimising websites. Converted data into web metrics or KPI’s (Key Performance Indicators). The KPI’s are utilized to establish and monitor progress toward the goals of the website. Categorized the web metrics to set up a framework for generating automated reports based on the objectives of a client. I developed prototypes of the automated reports in HTML and PHP.

Wireless Communications
Interdisciplinary research project with the electrical engineering department concerning their simulation program for wireless communications. Used SAS for a statistical analysis of the data obtained from the simulation program. Then developed an algorithm such that one can directly produce instances of the simulation program with a given performance level. The research culminated in my M.Sc. thesis, a publication and a poster presentation at the IEEE Globecom 2007 conference.

TUI Travel Agency
With a team of 5 students analyzed the effects of prioritizing phone-calls on the efficiency of the TUI call-center. SAS was used for a statistical analysis of the call-center. This served as a basis for a Java simulation program of the call-center. The simulation program was used to predict the effects of prioritizing. The findings were presented both written and orally. I interviewed and presented the written report to the management of TUI. Was involved in the statistical analysis and the programming.

Finding the Artery of Adamkiewicz
The Artery of Adamkiewicz supplies the blood for the lower two thirds of the spinal chord. Therefore, it is essential for a surgeon to exactly locate the artery in MRI scans before surgery. The artery has a distinctive shape. However, its small size makes it hard to detect in raw 3D MRI images.

With a group of five students (from both applied math and biomedical engineering) we developed an algorithm which enhances the MRI images. The algorithm scans the datafile of the MRI scan for the distinctive shape of the artery. The MRI image is then enhanced by highlighting the artery. The algorithm was written in Mathematica and presented to the Department of Biomedical Engineering and the Maastricht University.


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