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Computerised mathematical models play an increasingly decisive role within engineering science, i.e. within industrial production, within planning and economics, within the hospital sector etc. IMM's activities are aimed at methodologies enabling one to deal with today's ever increasing quantities of information.
- Mathematical statistics: Environmental statistics, statistical design and analysis of experiments, time series analysis, stochastic control theory, multivariate analysis and classification, stochastic processes
- Image processing & computer graphics: Biomedical imaging, industrial vision, material science, remote sensing, scientific visualisation and virtual reality, surveying, error theory
- Geoinformatics: Global Position Systems (GPS), photogrammetry, image analysis, Geographical Information Systems (GIS)
- Intelligent Signal Processing: Theory and methods for machine learning/adaptive signal processing, neuroimaging, biomedical signal processing, monitor systems, multimedia, humanitarian demining
- Scientific Computing: Optimization, dynamical simulation and inversion algorithms. Matrix computations, parallel algorithms, partial differential equations, high-performance computing
- Operations Research: Logistics, transport optimization, vehicle routing, production and inventory planning, timetabling and crew scheduling
Responsible:
Finn Kuno Christensen
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