Quantitative Magnetic Resonance Imaging

  • Functional magnetic resonance imaging (fMRI): functional connectivity, dynamic causal modelling to study the effective connectivity during tasks or in resting state; assessment of cerebral hemodynamic impairment thought fMRI data analysis, methods to integrate EEG & fMRI.

    Quantitative Positron Emission Tomography imaging

    • Development of novel models and estimation methods for quantitative PET imaging: compartmental models, input/output models, Variational Bayesian methods for voxel-wise quantification, Non-linear mixed effect modelling approach, Multi-scale hierarchical approaches for parametric mapping.

      Modeling of cell biology

      Research activities:

      Multiscale modeling of secretion

      • Theoretical and computational coupling between cellular dynamics and whole-body patterns of insulin secretion during clinical tests
      • Modeling of the interplay between Ca2+ dynamics, granule pool depletion, and insulin secretion at the level of single pancreatic islets
      • Cellular and inter-islet heterogeneity: importance for dynamic in vivo responses
      • Multiscale modeling of glucagon and GLP-1 secretion

      Molecular control of exocytosis

      • Spatio-temporal modeling of nanoscale Ca2+ dynamics near ion channels in pancreatic alpha- and beta-cells and pituitary cells
      • Statistical analysis of relations between Ca2+ and protein levels at secretory granules and exocytosis
      • Modeling of kinetics and molecular control of granule docking and priming prior to exocytosis

      Modeling of cell biology

      Electrical activity in endocrine cells

      • Theoretical investigations of human pancreatic beta-cells: heterogeneous and non-intuitive electrophysiological responses to ion channel antagonists; slow oscillations due to glycolytic oscillations; paracrine signals; gap junction coupling
      • Modeling of pancreatic alpha-cells: simulations of electrical activity; micro-RNA mediated effects on electrophysiology and exocytosis; glucose-sensing mechanisms including the roles of SGLT2 and K(ATP)-channels; cAMP-mediated effects downstream of electrical activity

        Smart Environments

        Today's society is increasingly being embedded with technology that can interact with humans in a large scale interconnected world. We refer to the contexts where this new paradigmatic societal change is happening as smart environments. Our department is working on specific smart environments: 

        Smart Factories

        The classical production hierarchy in factories, which is strongly characterized by centralized control, is increasingly being replaced by a flexible, self-organized factory (Smart Factory). The Internet of Things is transforming factory control and production structures, increasing agility and flexibility in the production process.Ongoing specific research topics regard:

        Smart Buildings

        Buildings today are complex concatenations of structures, systems and technology. Each of the components inside a building has been developed and improved, allowing to select lighting, security, heating, ventilation and air conditioning systems independently. Smart buildings use information technology during operation to connect such subsystems, so that they can share information to optimize total building performance. Modern buildings also contain complex mechanical devices, sophisticated control systems and a suite of features to improve the safety, comfort and productivity of occupants.

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