Sergei V. Pereverzev
Professor, Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy of Sciences
Austria
Sergei V. Pereverzev is Professor and Research supervisor in Research Group "Inverse Problems" of the Johann Radon Institute for Computational and Applied Mathematics. He is a co-developer of the fully adaptive regularized learning (FARL) methodology for predicting blood glucose concentration and the prediction-error grid analysis (PRED-EGA) for the assessment of glucose predictors. He is also the author of over one hundred scholarly articles and serves as a member of editorial boards of 5 journals.
His area of expertise includes, in particular, data-based modeling and prediction of blood glucose dynamics.
