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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Bigmath Advanced Course 4: Large scale and distributed optimization

The goal of the training course, realized within the H2020 Marie Skłodowska-Curie project Big Data Challenges for Mathematics, Grant Agreement No 812912,  is to provide an overview of tools and algorithms in the area of large scale and distributed optimization. An illustrative examples which help in understanding how optimization-based modelling can […]

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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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A mathematical model to simulate controlled drug release in last generation stents

A team of researchers of the Department of Mathematics of the Faculty of Sciences of the University of Coimbra, in collaboration with the Cardiology Department of the Coimbra University Hospital Centre (CHUC, Covões), developed a mathematical model that simulates controlled drug release from last generation stents, also called Drug-Eluting Stents […]

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Two Research Technician positions at BCAM

Applications are invited for two research technician positions at BCAM, the Basque Center for Applied Mathematics. The selected candidates will work at BCAM’s Knowledge Transfer Unit (KTU). The aim of the KTU is to develop mathematical solutions for scientific challenges based on real-life applications. The candidates will collaborate on knowledge […]

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Modern Variable Selection

By Meadhbh O’Neill  We are in an era where valuable information and data are being collected continuously around us. High-dimensional data is a current “hot” research area. The quantity of data available to us continues to increase persistently. This explains the necessary study of modern variable selection methods. These techniques […]

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