Inverse CoE year seminar 2020, Luosto, Sodankylä

The research group of prof Heikki Haario has been organizing annually a workshop and seminar on Inverse Problems at Luosto, Lapland, in the middle of the white, scenic nature of shining snow and ski-tracks in the wide open space of arctic beauty.  This year the event was on February 24-28. […]

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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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Accurate answers using imprecise calculations

By Oliver Sheridan-Methven, University of Oxford Mathematical Institute, PhD in industrially focused mathematical modelling For a huge variety of tasks we require computer simulations to produce useful answers. This can be from everyday items, such as simulating weather patterns to produce the weather forecasts, to on-demand simulations of financial markets […]

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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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Finding nanoparticles with visible light

Over the past two years researchers from the Centre de Recerca Matemática in Barcelona and Centre d’Elaboration de Materiaux et d’Etudes Structurales, Toulouse have been developing the mathematical theory and experimental techniques to view nanoparticles with visible light. The reason we can see objects (that are not producing light themselves) […]

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Modeling the processes of interaction of heavy ion beams and nanoclusters with condensed matter based on molecular-dynamic and quantum-field approaches using high-performance systems

This project is the last one of a series of one-year projects in the frame of the cooperation between Sofia University (SU) and the Joint Institute of Nuclear Research (JINR), Dubna, Russia. JINR is an international intergovernmental organization, established on the basis of a Contract, signed back in 1956 by […]

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Pursuing of Adaptive Linear Multistep Methods

A Hungarian-Swedish cooperation At the end of January two renowned guest professors joined Department of Applied Analysis and Computational Mathematics at Eötvös Loránd University. Professors Carmen Arévalo (Lund University, Sweden) and Gustaf Söderlind (Lund University, Sweden) had an enormous influence to the numerical analysis group at the Department. Professor Söderlind […]

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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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