The mini-symposium covers important topics of multiscale modelling and numerical analysis of complex dynamical systems, with applications to different research fields ranging from mobility and crowd dynamics to mathematical epidemiology and from computational neuroscience and biology to complex fluids and materials.
The mini-symposium topics focus (but are not limited) on: complex systems modelling and simulation, multiscale numerical analysis, numerical methods using machine-learning for scientific computing including physics-informed machine learning, manifold learning algorithms and model reduction methods, control and optimization.
We are looking forward to your application.
Symposium organizers:
Lucia Russo, lucia.russo@stems.cnr.it
Dimitris Patsatzis, dimitrios.patsatzis@stems.cnr.it
Konstantinos Spiliotis, konstantinos.spiliotis@uni-rostock.de