CeMEAI

MATHEMATICAL MODELLING OF INFECTION DYNAMICS

Osvaldo Anacleto Course outline Day 1 (Monday): • Introduction to infectious disease modelling. Deterministic and stochastic compartmental models (Lecture and R tutorial) • Introduction to probability distributions and counting processes • Introduction to R (optional)) Day 2 (Tuesday): • Introduction to statistical Inference and maximum likelihood estimation (Lecture and R…

AN INTRODUCTION TO DATA-DRIVEN MODELLING & GRAPH CLUSTERING

Dr. Dante Conti 9.3.1 Summary Nowadays when society is immersed at the era of Information and Communication Technologies, the presence of massive data in different fields and real-world applications has encouraged the use of Data Mining, Machine Learning and Artificial Intelligence approaches aimed to discover and extract non-trivial information from…

MÉTODOS MULTI-ESCALA PARA A SIMULAÇÃO NUMÉRICA DE RESERVATÓRIOS DE PETRÓLEO

Professor: Luis Felipe Feres Pereira 9.2.1 Resumo: Os reservatórios de petróleo localizados no pré-sal brasileiro são bastante profundos (podendo chegar a 1 Km de profundidade), em contraste com reservatórios usuais que possuem apenas alguns metros na direção vertical. A simulação numérica eficiente (rápida e precisa) de escoamentos multifásicos nos reservatórios…

SCALING LIMITS OF MARKOV PROCESSES AND APPLICATIONS TO COMMUNICATION SYSTEMS

Matthieu Jonckheere The constant technological evolution and developments in the area of telecommunication lead to challenging research questions regarding performance evaluation and design of actual and future communication systems. Stochastic networks are mathematical models describing a wide variety of high dimensional complex systems, seemingly of very different nature, from telecommunication…