Journal of mathematics in industry: the special issue dedicated to mathematical modelling of COVID19 is published

During spring 2020 we started living in the middle of one of the most disruptive periods of our lives, due to the spread of the SARS-CoV-2 pandemics. Since then, scientists, and in particular mathematicians and statisticians, are investing an unprecedented effort to forecast the course of the pandemic and to […]

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ECMI 2021 Students Competition: winners announcement

During May 2021 the European Consortium for Mathematics in Industry invited teams of students of Bachelor, Master or PhD levels in an ECMI member institution to the ECMI 2021 Student Competition. The teams were asked to produce a mathematical model fitting the data of the evolution of COVID-19 epidemics in United Kingdom and Israel […]

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Interview to the winners of the ECMI Students Competition 2020

The ECMI Students Competition 2020 has been won by two European teams of students, named “Aula Chisini”, composed by Davide FOCCHI, Luca FORLANI, Agnese RADAELLI – Università degli Studi di Milano, and “BILBOMAT”, composed by Carlos Javier PEÑA – Basque Center for Applied Mathematics. We realized an interview with the […]

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COVER – COVid-19 Empirical Research

Friday, October 30, 2020 at 10:00 hrs (CET). We are happy to announce the video conference COVER – COVid-19 Empirical Research organized by the Center of Excellence in Economics and Data Science of the Department of Economics, Management and Quantitative Methods and by the Data Science Research Center, Università degli Studi di Milano, […]

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PRecision crop protECtion: deep learnIng and data fuSION

Current farming practices require a uniform application of pesticides in order to protect crop plants from pest and disease. These treatments are typically repeated at regular time intervals. However, it is well known that several pests and diseases exhibit an uneven spatial distribution, with typical patch structures evolving around localized […]

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Modeling provincial Covid-19 epidemic data in Italy using an adjusted time-dependent SIRD model

The outbreak of the Covid-19 epidemics in early 2020 has caused an unprecedented effort of the scientific community to produce models that could monitor and predict the evolution of the epidemics in a reliable way, also to advice governments to take actions which could mitigate the burden of hospitals to […]

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Mathematics of the COVID19 crisis – In the eye of the storm

ECMI Webinar – April 29, 2020 The COVID-19 pandemic is currently generating considerable activity among applied and industrial mathematicians across Europe. The mathematics of modelling, simulation, and optimisation in all its various forms has experienced an unusual level of attention from authorities and from the media. In recent weeks, separate […]

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Call for papers: special issue on COVID19 of the Journal of Mathematics in Industry

The Journal of Mathematics in Industry, with the support of the European Consortium for Mathematics in Industry – ECMI , has decided to publish a special issue entitled: Mathematical models of the spread and consequences of the SARS-CoV-2 pandemics. Effects on health, society, industry, economics and technology.   This is a call […]

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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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