dr. GAK (George) van Voorn
dr. GAK (George) van Voorn
Associate Professor Applied Modelling & Machine Learning
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Biography
Biography
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My work focuses on the development and application of modelling methodologies, mainly applied in the agri-food and ecological domains. Important methodological topics I currently work on are:
- Hybrid machine learning for applications in crop modelling and ecology;
- Dynamical systems based models, such as stochastic differential equations;
- Agent based models for various socio-ecological applications, primarily in the agri-food domain;
- The modelling of resilience of Socio-ecological Systems (SES), such as agri-food systems;
- The development of analysis methodologies like sensitivity analysis for ABMs.
Previously I have done work on:
- Model quality insurance of nature and environmental policy models;
- Tipping points modelling;
- The development of methodologies for the detection and continuation of (global) bifurcations;
- The development of guidelines for validation of health-economic models.
I am a course coordinator of the course MAT15003 (mathematics 3: linear algebra), and co-coordinator of SSB-30806 Modelling in Systems Biology and some other modelling courses. I also coordinate PhD courses and Summer Schools on mathematics and Agent Based Modelling.
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About
Personal information
Address
Droevendaalsesteeg 1
6708PB WAGENINGEN
6708PB WAGENINGEN
Building
Radix Westvleugel
107/Flex
107/Flex
Secretary
+31317484085
Expertise
Climate change, Mathematics, Research quality assessment, Computer simulation, Differential equations, Dynamic systems, Ecological modeling, Algorithms, Analytical methods, Modeling, Uncertainty analysis, Bifurcation analysis, Ecosystem modelling, Time series analysis, Tipping points, Complex systems, Agent based modelling, Machine learning
Subdivision
Mathematical and Statistical Methods (MAT)