BIGMATH project funded

We are happy to announce that the MSCA-ITN-EID project BIGMATH – “Big Data challenges for Mathematics” – has been recently funded by the H2020 program. The project is coordinated by Università degli Studi di Milano and was born from a collaboration with other 3 ECMI academic centres (University of Novi Sad, TU-Eindhoven, IST Lisbon) and […]

Comparison of statistical techniques for the analysis of ”omics” data

This report refers to a project which has been assigned to a group of students in the MSc in Mathematics at Università degli Studi di Milano during a modeling seminar, in the academic year 2017/18. They faced the following problem. A group of biochemists in the University of Milan conducted an experiment testing the effect […]

A Markov Chain approach to evaluate the impact of CAP Greening on land use in Lombardy region

A recent reform has redesigned Common Agricultural Policy (CAP) contents over the programming period 2015-2020, introducing important changes in the funding strategies, called “Greening”, which reward “agricultural practices beneficial for the climate and the environment” (EU regulation 1307/2013), namely i) arable crops diversification, ii) maintenance of permanent grassland and iii) ecological focus areas (EFA). These […]

Workshop Mathematics for Big Data: presentations are online

The kickoff workshop of the ECMI SIG “Mathematics for Big Data” took place at University of Novi Sad on May 31 – June 1, 2017. The workshop was attended by more than 80 participants, coming from all Europe and also Australia. We had 14 speakers presenting talks ranging from optimization, learning and statistics for Big […]

Clustering of multivariate Big Data

Clustering is the division of a collection of data into groups, or clusters, such that points in the same cluster have a small distance from one another, while points in different clusters are at a large distance from one another. When the data are not very high dimensional, but are too many to fit in […]

Workshop Mathematics for Big Data

Dates: May 31- June 1, 2017 Place: University of Novi Sad, Serbia The availability of huge amounts of data is often considered as the fourth industrial revolution we are living right now. The increase in data accumulation allows us to tackle a wide range of social, economic, industrial and scientific challenges. But extracting meaningful knowledge […]

Inferential and Clustering Methods for Functional Data

Author: Andrea Ghiglietti Position: Postdoctoral Researcher Affiliation: Department of Mathematics, Università degli Studi di Milano. E-mail address: andrea.ghiglietti@unimi.it In the last two decades, there has been an increasing interest in the statistical research concerning the study of high dimensional data. The main reason of this recent popularity is the wide range of applications in biology, […]

Mathematical and numerical modeling of the cardiac electro-mechanical coupling

Aim. Our goal is to develop effective computational tools to push forward the understanding of the fundamental mechanisms underlying the origin of life-threatening arrhythmias and contractile disorders in the human heart and to provide theoretical support to cardiologists in developing more successful pharmacological and surgical treatments for these pathologies. State of the heart. The spread […]

Mathematical models of microcirculation: fluid-dynamics and nutrient delivery

Paola Causin, Department of Mathematics, Universita’ degli Studi di Milano Transport and exchange of nutrients from peripheral blood circulation provide fundamental support to body organs activity. Investigation of these circulatory districts, which include thousands of microvessels with diameter less than 200mm, is often difficult even with up-to-date imaging facilities.   Microcirculatory network with deformed vessel […]

ECMI SIG Shape and size in Medicine, Biotechnology and Materials Science

Shape analysis deals with the geometrical information on objects that is left after location, scale and rotation effects are removed. If scale effects are not removed, then we are led to form (size and shape). In applications, bodies rarely have exactly the same shape within measurement error; hence randomness of shapes needs to be taken […]