CANCELLED: 21st ECMI Conference on Industrial and Applied Mathematics

Due to the uncertainty around Covid-19 and the implications on international travel and gatherings etc., we have made the difficult decision to postpone the 21st ECMI Conference on Industrial and Applied Mathematics (ECMI 2020) that is due to take place at the University of Limerick, Ireland, from 22nd – 26th […]

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ECMI STUDENT competition: Modelling and prediction of pollen concentration

Foreword: Allergy to pollen is one of the most widespread diseases in today’s world. Even with the benefits of modern medicine, allergies still cause serious health problems and avoidance is an important aspect of treatment. Thus, prediction of pollen concentration is a very important task. Data: The data set was […]

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Improving tax collection with big data analytics

Tax evasion is one of the major obstacles to increasing the competitiveness of an economy. It directly and negatively affects the conditions for business activities in the market for the companies that legally declare and pay taxes, making their production costs, and, consequently, the price of their products and services […]

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Viscoelastic inverse problems from seismic to medical scale

By Florian Faucher This project is funded by the Austrian Science Fund FWF, under the Lise Meitner fellowship grant number M2791-N. It is a two-years fellowship that is carried out at the Faculty of Mathematics at the University of Vienna, and that has started in October 2019. The project focuses […]

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SFB Tomography across the scales: Optical Tomography of Trapped Objects

Optical and acoustical trapping has been established as a tool for holding and moving microscopic particles suspended in a liquid in a contact-free and non-invasive manner. Opposed to standard microscopic imaging where the probe is fixated, this technique allows imaging in a more natural environment. In collaboration with the the […]

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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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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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