the ‘methods for image and data analysis (MIDA)’ group is an interdisciplinary research environment gathering applied mathematicians, physicists, and computational scientists with the science objectives of

1. explaining complex systems in physics, biology, and physiology according to data-driven mathematical models
2. formulating and developing computational methods for the analysis and interpretation of multi-modal physical, biological, and physiological data

MIDA is designed according to a methodological lab formulating and developing mathematical methods for image and data analysis, and three labs applying such methods to problems in solar physics, biomedicine, and neuroscience
highenergy
- inverse problems theory and methods - computational methods for pattern recognition - computational methods for machine learning - industrial applications of computational data analysis
highenergy
- imaging, spectroscopy and imaging spectroscopy for solar hard X-ray emission - desaturation and deblurring of EUV images of the sun - solar flare prediction - mathematical models for solar flare physics
highenergy
- computational cancer physiology - computational hematology - structural and functional medical imaging
highenergy
- source modelling of neurophysiological signals - computational methods in brain connectivity - clinical applications of computational neuroscience