The Experts Method for the prediction of big data streams of energy flow

We have developed a method, called Experts Method, to forecast the evolution of a multivariate set of time series, of big dimension, and with partially censored data. It has been applied to the data provided by the H2020 Big Data Horizon Prize 2017 (http://ec.europa.eu/research/horizonprize/index.cfm?prize=bigdata). The data subject to the forecast […]

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BIGMATH: Stochastic Geometric modelling and 3D image analysis for human face prostheses

My name is Filipa Valdeira, I am from Lisbon (Portugal) where I have completed an Integrated Master in Aerospace Engineering, with a specialization in Systems and Control. During the last year of the degree, I conducted my Master’s Thesis on the topics of optimization and statistics. This sparked my interest […]

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BIGMATH: Mathematical morphology for the prediction of face expression transition

My name is Rongjiao Ji, I am currently a first-year PhD student in the PhD school in Mathematical Sciences, Universita’ degli Studi di Milano (Italy), and I am enrolled in the Marie Skłodowska-Curie Action – Innovative Training Network/European Industrial Doctorate BIGMATH. I received my master degree in Probability and Statistics […]

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The new Data Science Research Center at University of Milan

We are happy to announce the birth of the Data Science Research Center, a new coordinated research center of Università degli Studi di Milano. The primary objective of the Data Science Research Center (DSRC) is to integrate the competences and research activities in computer science, statistics and mathematics of the […]

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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 […]

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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) […]

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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 […]

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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 […]

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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.   […]

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