Mathematics and Computer Science /
Section Stochastics /
Chair of Probability and Statistics /
Projects of Alessandro Di Bucchianico
Some student projects can be performed both at Bachelor and Master's level (of course, the actual goals and expectation are higher for Master's projects). Note that the projects below include both projects to be performed at the univeristiy and projects to be performed at companies. The companies are quite diverse, ranging from small startups to large multinationals.
Students wishing to carry out a bachelor project in statistics, are invited to have a look at the following interesting projects (they are all inspired by real applications in industry):
- Statistical Models for Software Testing with Imperfect Debugging
- Short-Term Prediction of Dangerous High Water Levels
- Monitoring Wind Turbines with Regression Analysis
- Confidence Intervals for Binomial Distributions with Zero Successes
- Estimation problems for the 3-parameter lognormal distribution (with SKF Research and Development Centre in Nieuwegein)
Most of the Master's projects below can be adapted to be a Bachelor project (by taking out a specific subtopic).
- Short-Term Prediction of Dangerous High Water Levels (concerns the Easter Scheldt Storm Surge Barrier, with the Hydro Meteo Centre of Rijkswaterstaat (Dutch Ministry of Infrastructure and the Environment))
- Lifetime modelling of new generation semiconductor devices (with NXP Nijmegen)
- Big Data Analytics for Lighting in Buildings (with Philips Lighting)
- Data Validation for Weather Sensors (4 different projects with KNMI, the Royal Dutch Meteorological Institute)
- Discovering Causes for Alarms on Naval Vessels Using Data Science (with Damen Schelde Naval Shipbuilding)
- Forecasting project (with Optiply)
- Big Data and Reliability (with Movares)
If you wish to know more about these projects, then please drop by in my office MF 4.120..