COVID-19 modelling: rapidly predicting the spatially varying infection risk indoors from airborne transmission

By Ian Griffiths 1, Katerina Kaouri 2, Aaron English 2, and Zechariah Lau 2. 1. University of Oxford, Mathematical Institute 2. Cardiff University, Dep. of Mathematics The virus causing the COVID-19 pandemic, SARS-CoV-2, is transmitted through virus-carrying respiratory droplets, which are released when an infected person coughs, sneezes, talks or […]

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Predictive performance of scales during CoViD-19 disease

Since the beginning of the COVID-19 pandemic, many researchers have constructed mathematical models related to the development of the epidemic. There has been a rapid interest in both deterministic and stochastic models. However, statistical studies devoted to the validation of the risk of complications in patients with SARS-CoV-2 are also […]

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Towards managing of the financial risk of electricity load predictions. A product of linear time series

Electricity is a special commodity with very limited storage possibilities. Hence,  electricity supply and demand must be constantly balanced, making short-term operational planning a crucial issue for electricity trading companies. Production or cost management is usually based on electricity load or demand predictions, published on the day-ahead manner by the […]

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The ECMI Students Competition 2022 is open

The European Consortium for Mathematics in Industry (ECMI) and fleXstructures GmbH invite teams of students of Bachelor, Master or PhD levels in an ECMI member institution to the ECMI 2022 Student Competition. Each team should present their solution to a mathematical problem of social or economic importance. Who can apply? Teamwork is allowed with 1 up to […]

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interview to the winners of the ECMI STUDENTS COMPETITION 2021

The ECMI Students Competition 2021 was won by the two groups Mathdisk and Inetfomm. The selection committee run the following interview to the winners. TEAM  NAMES and COMPONENTS Mathdisk Greta Malaspina, University of Novi Sad Stevo Racković, IST Lisbon Filipa Marreiros Malveiro Valdeira, University of Milan Inetfomm Blas Kolic and […]

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Master Theses in Mathematical Modelling and Industrial Mathematics at Sofia University

Arguably, one of the most important parts of the education in a MSc program in Technomathematics is writing a Master thesis. We shall briefly present here four theses that were recently defended at the MSc program “Computational Mathematics and Mathematical Modelling” at the Faculty of Mathematics and Informatics, Sofia University. […]

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Mathematics + billiard or billiard + mathematics: the SmartPool project connects two communities

Written by Evgenia Sendova, IMI-BAS Mathematics billiard – past and present Do mathematicians study billiards because they like playing it and improving their skills? Not necessarily. Idealized variations of the game are models for dynamical systems that occur in nature. In fact, the interest of mathematicians in the study of billiard […]

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The role of the FMI Career Centre in the activities of FMI as Educational centre of ECMI

The Faculty of Mathematics and Informatics (FMI) Career Centre opened on November 2008 with the financial support of Globul. It is designed to be an effective mediator between academia and business, to assist the realization and the successful career development of the FMI students and to support students’ participation in […]

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Lightweight diacritic restoration for V4 languages

Diacritics restoration became a ubiquitous task in the Latin-alphabet-based English-dominated Internet language environment. We showcase a small footprint 1D convolution-based solution, running in a web browser, which surpassed the performance of similarly sized models. Many languages have alphabets where some characters are derived from other characters using diacritical marks. The […]

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Estimation and simulation of fractional Ornstein-Uhlenbeck processes, using deep neural networks

There is now a great deal of interest in parameter estimation of Ornstein-Uhlenbeck processes in finance because of its modelling capability (see e.g. [1]). That is why we investigated prediction of the unknown parameters with neural networks in the hope that we will obtain more accurate estimators than the ones […]

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