Conferences  >  Mathematics  >  Modeling and Simulation  >  United Kingdom

Isaac Newton Institute for Mathematical Sciences (INI)

Applied Mathematics (in general),    Systems Biology and Computational Biology

Image-Based Simulation for Industry (IBSim-4i) is organised by the Zienkiewicz Centre for Computational Engineering, Swansea University and the Institute of Physics (IOP) with support from EPSRC and CCPi Tomographic Imaging.

Image-based meshing is the process by which 3D images (e.g., X-ray CT or laser scanning) are converted into ultra-high-resolution simulations. 3D imaging is increasingly being used in the industrial sector for inspection, non-destructive testing / evaluation (NDT/NDE) and metrology but image-based simulation is still an underutilised technique. Our aim is that the activities of IBSim-4i will facilitate a wider adoption of image-based simulation and provide a platform to discuss the cutting-edge developments in the field.

Pattern Recognition and Image Processing, Machine Vision,    Metrology and Instrumentation

Isaac Newton Institute for Mathematical Sciences (INI)

The purpose of this workshop is to bring together scientists interested in different areas of complex movement in a biological context, from field research, to data analysis, to theoretical modelling. In particular, the focus will be on complex movement beyond the Markov property, such as memory-dependent animal foraging processes, spatial avoidance due to past deposition of animal scent or resource depletion, and directed motion in neutrophils. Despite its ubiquity, the mathematical difficulty in dealing with history dependence has hampered the study of non-Markov movement processes. Past empirical limitations are also responsible for the lack of a general theory to describe history dependent movement processes, as detection of features that would distinguish between Markov and non-Markov model predictions were not attainable. Currently, movement data may reach unprecedented resolution, and there is a renewed interest in developing non-Markov movement models, exemplified by recent theoretical studies to devise general prescriptions to simulate non-Markov stochastic processes.

Applied Mathematics (in general),    Systems Biology and Computational Biology