Data science
Due to the increasing possibilities of information and computer technology, there is a strong tendency to collect and integrate more and more data from heterogeneous sources. To discern patterns in these complex data sources, special techniques have been developed, which are often referred to as machine learning, data-mining or pattern recognition.
Food safety is an important issue and quantitative risk assessment is essential for taking well-informed decisions. The food industry is constantly introducing new foods for which health benefits are claimed. On the other hand, consumer concerns about food risks are highlighted by recent programmes of measures of consumer organisations.
Image analysis
Digital images can be regarded as a multivariate, highly structured sources of data, from which features and patterns need to be extracted (image analysis).
Water Distribution Monitoring
Monitoring water distribution systems can be challenging, due to the scale and maze-like nature of these networks, be they buried drinking or waste water pipes or meandering waterways. Insight in these systems is obtained based on a large number of sensors spread throughout the network, measuring flow, pressure, and many other properties in real-time. Data collection alone does not yield the insight needed for maintenance strategies, thus a combination of black-box machine learning and white-box water dynamics modelling is required to gather information about the functioning of the whole system. With these tools, real-time algorithms are developed to serve as decision support and early warning tools, facilitate leakage detection and localization, temperature or contamination warning, and indicate optimal locations for placement of more sensors.e purpose is to develop general methodology.
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dr. HRMJ (Ron) Wehrens
Business Unit Manager Biometris
Research themes
Statistical genetics
We develop methodology for sound inference for genetic, genomic and phenotypic data.
Applied mathematics for life sciences
We use mathematical models to explore how living systems function and interact, from the growth of plants and cells to the dynamics of ecosystems and human societies.
Data science
With machine learning, algorithms and statistical principles, we discern patterns in complex datasets.
Risk assessment in food safety
We aim to understand, quantify and manage risks in complex biological, environmental and food systems to support rational, science-based decision-making.