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09/14/2023
Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning
We present a physics-informed machine-learning (PIML) approach for the a...
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03/23/2023
Numerical Bifurcation Analysis of Turing and Symmetry Broken Patterns of a Vegetation PDE Model
We study the mechanisms of pattern formation for vegetation dynamics in ...
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07/12/2022
Data-driven Control of Agent-based Models: an Equation/Variable-free Machine Learning Approach
We present an Equation/Variable free machine learning (EVFML) framework ...
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03/10/2022
Parsimonious Physics-Informed Random Projection Neural Networks for Initial-Value Problems of ODEs and index-1 DAEs
We address a physics-informed neural network based on the concept of ran...
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02/02/2022
Designing Social Distancing Policies for the COVID-19 Pandemic: A probabilistic model predictive control approach
The effective control of the COVID-19 pandemic is one the most challengi...
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04/13/2021
Numerical Solution and Bifurcation Analysis of Nonlinear Partial Differential Equations with Extreme Learning Machines
We address a new numerical scheme based on a class of machine learning m...
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12/28/2020
Estimation of the effective reproduction number for SARS-CoV-2 infection during the first epidemic wave in the metropolitan area of Athens, Greece
Herein, we provide estimations for the effective reproduction number R_e...
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10/27/2019
Analytical and Numerical Bifurcation Analysis of a Forest-Grassland Ecosystem Model with Human Interaction
We perform both analytical and numerical bifurcation analysis of a fores...
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09/07/2019
