Data-Driven Risk Assessment in Infrastructure Networks
The next four years Leiden University and the Ministry of Infrastructure and Waterstate will collaborate to investigate the use of data science. The funding of my PhD-scholarship is part of this project. I will mainly focus on applying network science to get a better understanding of behavior of companies under investigation. At the moment I am investigating intentional co-driving of trucks in the Netherlands.
Efficient Compliance Monitoring on Sulphur Dioxide Emissions of Ships
January - October 2017
When I planned to do my master thesis for the master Analytical Chemistry, I looked for projects in the public domain with a focus on data acquisition and processing. At that time the Human Environment and Transport Inspectorate used a so-called sniffer instrument from TNO. The main function of this sniffer is to see whether ships were sailing on non-compliant fuel in the Port of Rotterdam.
The objective of my research was to compare different techniques which are available for analysis of ship plumes. The first part of the thesis contains a literature review for instruments able to measure sulphur dioxide emissions. In the second part I perform analysis on data obtained from several European agencies. It is the first time (to my knowledge) that multiple instruments were compared on such a large dataset (more than 8000 measurements).