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 […]

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 […]

Numerical methods for DEP modelling for lab-on-chips devices

The physical manipulation of biological cells is of vital importance in the development of laboratory operations on a small scale using miniaturized (lab-on-a-chip) devices. Microsystems devices is very appealing.because small volumes reduce the time taken to synthesize and analyse a product. Moreover these compact devices create new opportunities for the spatial and temporal control of […]

Bridging the semantic gap using geometric multi-model fitting

Computer Vision ultimately aims to mimic human visual perception. Although this ambitious goal has inspired research efforts towards the design of automatic systems that can effectively analyze and extract information from visual data, there is still an unfulfilled need for compact, abstract representations of this content in order to bridge the semantic gap that separates […]

Mathematical morphology and uncertainty quantification for the modeling of dual phase steel

This project is part of a collaboration between the ADAMSS Centre at Università degli Studi di Milano (Italy) and Nippon Steel & Sumitomo Metal, Tokio (Japan), and originates from a previous collaboration between Nippon Steel and WIAS – Berlin, another ECMI Centre, involving other areas of mathematical expertise. Thus it could be considered a virtuous […]

Department of Mathematics and ADAMSS Centre, Università degli Studi di Milano

Università degli Studi di Milano (www.unimi.it) is a public teaching and research university, which, with 10 Faculties, 31 Departments and a teaching staff of 2000 professors, is distinguished by its wide variety of disciplinary fields. A leading institution in Italy and Europe for scientific productivity, Università degli Studi di Milano is the largest university in […]