Fabiana Zama

Associate professor since 2006, she carries out her research on optimization and regularization methods for inverse problems. Her research interests are focused in particular on image processing  and parameter estimation problems. The most recent research contributions concern the modelling of COVID19 epidemic disease   and  on numerical methods for inversion of NMR relaxometry and  Fast Field Cycling data. Go to the Curriculum vitae