Michiel Rollier- Master of Science | Master of Arts
- PhD Student at Ghent University
Michiel Rollier
- Master of Science | Master of Arts
- PhD Student at Ghent University
Discrete dynamical systems | Network science
About
14
Publications
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Introduction
Currently I enjoy the challenge of predicting what's fundamentally unpredictable: complex networks. My joint PhD at Ghent University and the University of São Paulo is all about discrete dynamical systems on networks. These are used to model phenomena ranging from biochemical cell processes all the way to the spread of political radicalism - intriguing stuff! I'm especially grateful for the machine learning skills I'm building during this in-depth research.
Current institution
Publications
Publications (14)
Cellular automata (CAs) and convolutional neural networks (CNNs) are closely related due to the local nature of information processing. The connection between these topics is beneficial to both related fields, for conceptual as well as practical reasons. Our contribution solidifies this connection in the case of non-uniform CAs (nuCAs), simulating...
The emergent dynamics in spacetime diagrams of cellular automata (CAs) is often organised by means of a number of behavioural classes. Whilst classification of elementary CAs is feasible and well-studied, non-elementary CAs are generally too diverse and numerous to exhaustively classify manually. In this chapter we treat the spacetime diagram as a...
Cellular automata (CAs) are fully-discrete dynamical models that have received much attention due to the fact that their relatively simple setup can nonetheless express highly complex phenomena. Despite the model's theoretical maturity and abundant computational power, the current lack of a complete survey on the 'taxonomy' of various families of C...
We analyse and mutually compare time series of covid-19 -related data and mobility data across Belgium's 43 arrondissements (NUTS 3). In this way, we reach three conclusions. First, we could detect a decrease in mobility during high-incidence stages of the pandemic. This is expressed as a sizeable change in the average amount of time spent outside...
In this work we extend our previously developed compartmental SEIQRD model for SARS-CoV-2 in Belgium. The model is geographically stratified into eleven provinces and a telecommunication dataset provided by Belgium's biggest operator is used to incorporate interprovincial mobility. We introduce variants, seasonality, and vaccines in our model, as t...
Given that social interactions drive the spread of infectious diseases amongst humans, one anticipates that human mobility in Belgium affected the spread of COVID-19 during both 2020 "waves". Measures against this spread in turn influenced mobility patterns. In this study, we analyse and mutually compare time series of COVID-19-related data and mob...
In this report, we bring our epidemiological models in line with the additional measures taken between November 22nd, 2021, and January 28th, 2022, and reassess their impact on the fourth Belgian COVID-19 wave.
A larger reduction of leisure contacts results in a faster decrease of COVID-19 hospitalizations and a lower overall burden of disease for...
In this report, we use two epidemiological models to explore the relative effects of three non-pharmaceutical interventions between November 17th, 2021, and December 24th, 2021 on the COVID-19 related hospitalizations during the fall and winter of 2021 in Belgium.
Although the healthcare system will most likely not be overwhelmed by the fourth CO...
We present a compartmental extended SEIQRD metapopulation model for SARS-CoV-2 spread in Belgium. We demonstrate the robustness of the calibration procedure by calibrating the model using incrementally larger datasets and dissect the model results by computing the effective reproduction number at home, in workplaces, in schools, and during leisure...
The ability to directly detect gravitational waves has enabled us to empirically probe the nature of ultra-compact relativistic objects. Several alternatives to the black holes of classical general relativity have been proposed which do not have a horizon, in which case a newly formed object (e.g. as a result of binary merger) may emit echoes: burs...
The ability to directly detect gravitational waves has enabled us to empirically probe the nature of ultra-compact relativistic objects. Several alternatives to the black holes of classical general relativity have been proposed which do not have a horizon, in which case a newly formed object (e.g. as a result of binary merger) may emit echoes: burs...
