Mini-Course Series

Series of Thematic Mini-Courses

Six short courses connected to the three main themes

Throughout the Trimester (2 May – 31 July 2026) Department of Mathematics and Applications "R. Caccioppoli"

Overview

Seven mini-courses.

Courses connect the summer-school themes with current research topics.

Speakers

Bruno Buonomo
Università degli Studi di Napoli Federico II
An Introduction to Socio-Epidemiological Modelling: from Decision-Support Models to Renewal Equations, via Information and Imitation Games
Event PosterConference slides
Angelo Carotenuto
Università degli Studi di Napoli Federico II
Stress, growth and remodelling in biological systems
Event PosterConference Slides (soon)
Roberta De Luca
Università degli Studi di Napoli Federico II
Parabolic PDEs: Stability and Pattern Formation
Event PosterConference slides
Massimo Frittelli
Università del Salento
Numerical approximation of parabolic linear and nonlinear diffusive PDEs
Event PosterDownload materialConference Slides
Giuseppe Puglisi
Politecnico di Bari
Mathematical Models for the Multiphysics Behaviour of Rubber-like and Biological Materials: From Entropic Elasticity to Theory-guided Data Modelling
Event Poster
Stefano Turzi
Politecnico di Milano
Dynamics and bifurcations in passive and active nematics
Event PosterConference Slides
Luigi Vergori
Università di Perugia
Mechanics of nematic shells
Event PosterConference slides

Scheduled Mini Courses

Lecturer
Date & Time
Location
Bruno Buonomo
June 9-10 (9:00-11:00)
Aula E (9 June) - Aula F (10 June)
Department of Mathematics and Applications "R. Caccioppoli", University of Naples "Federico II"
Roberta De Luca
June 11-12 (9:00-11:00)
Aula F
Department of Mathematics and Applications "R. Caccioppoli", University of Naples "Federico II"
Massimo Frittelli
June 24-25 (9:00-11:00)
Aula E
Department of Mathematics and Applications "R. Caccioppoli", University of Naples "Federico II"
Angelo Carotenuto
July 6-7 (10:00-12:00)
Aula C6A (Secondo Piano - Edificio 7)
Department of Structures for Engineering and Architecture, University of Naples "Federico II"
Luigi Vergori
July 8-9 (9:00-11:00)
Aula F
Department of Mathematics and Applications "R. Caccioppoli", University of Naples "Federico II"
Giuseppe Puglisi
July 13-14 (10:30-12:30)
Aula mulimediale
Department of Structures for Engineering and Architecture, University of Naples "Federico II"
Stefano Turzi
July 16-17 (9:00-11:00)
Aula F
Department of Mathematics and Applications "R. Caccioppoli", University of Naples "Federico II"

Abstract

Bruno Buonomo
Università degli Studi di Napoli Federico II
An Introduction to Socio-Epidemiological Modelling: from Decision-Support Models to Renewal Equations, via Information and Imitation Games
In these lectures, key mathematical approaches to socio-epidemiological modelling are presented, with an emphasis on vaccination decisions and behavioural feedbacks. A scenario analysis framework is first presented to compare immunization strategies under prescribed coverage levels. This clarifies how modelling assumptions and structural choices affect the interpretation of results. Two complementary approaches linking epidemic dynamics with human responses are then discussed. In the first, an information index with explicit memory is used. Perceived risk is built from past epidemic signals through distributed delays, and it can drive changes in contact behaviour or vaccine uptake. In the second, a game theoretic perspective is adopted. Uptake emerges from individual decisions updated through imitation dynamics, with payoffs balancing infection risk against perceived vaccine risk, including vaccine side effects. Renewal equations in the Kermack–McKendrick tradition are finally introduced. They provide a general time-kernel framework for transmission and memory, and a basis for future developments in socio-epidemiological modelling.
Angelo Carotenuto
Università degli Studi di Napoli Federico II
Stress, growth and remodelling in biological systems
Understanding the mechanobiology of living systems requires a rigorous framework capable of coupling large deformations, evolving stresses, and mass growth across multiple scales. This short course introduces a unified continuum mechanics approach to model stress-dependent growth, morphogenesis and remodelling in some living structures and biological tissues, with a focus on arterial walls and solid tumors. Starting from foundational examples and progressing towards advanced models where macroscopic growth emerges from the complex multiphysical dynamics of tissue constitutents within heterotypic micro-environments by accounting for inhomogeneous fields and chemo-mechanical feedbacks, attendees will gain a hands-on understanding of how stress, growth, and remodelling can be integrated into biomechanical models conceived to predict tissue evolution in homeostatic and disease conditions, and support the design of engineered strategies for potential diagnostic or therapeutic applications.
Roberta De Luca
Università degli Studi di Napoli Federico II
Parabolic PDEs: Stability and Pattern Formation
This intensive course provides an introduction to the mathematical theory and applications of parabolic partial differential equations, with a particular focus on reaction--diffusion systems arising in the life sciences. The course begins with a review of the fundamental concepts of partial differential equations, including classification, well-posedness, and the specific features of parabolic problems. Particular attention is devoted to reaction--diffusion models, incorporating nonlinear effects such as advection and chemotaxis, which play a central role in the modelling of biological and ecological processes. The second part of the course focuses on the qualitative analysis of solutions. We discuss the stability of homogeneous equilibria and introduce the mechanism of Turing instability as a fundamental tool for understanding pattern formation. A weakly nonlinear analysis is then presented to describe the emergence and selection of spatial structures near critical thresholds. Throughout the course, theoretical results are complemented by applications to relevant problems in life sciences, including population dynamics and transport phenomena in biological systems. The aim of the course is to provide participants with both a rigorous theoretical framework and practical analytical tools for the study of nonlinear phenomena in parabolic PDEs.
Massimo Frittelli
Università del Salento
Numerical approximation of parabolic linear and nonlinear diffusive PDEs
This mini-course provides a rigorous mathematical introduction to the numerical approximation of parabolic diffusion and reaction-diffusion PDE problems on general bulk domains.  We start by introducing the weak formulations with the incorporation of various types of boundary conditions.  For the space discretisation,  we will formulate the polynomial finite element method of arbitrary order on triangular meshes.  Bespoke time discretisation techniques tailored for nonlinear kinetics will be then presented.  The core implementation details in Python and/or Matlab/Octave will be provided.  Extensive simulations will demonstrate the convergence of the methods and showcase Turing pattern formation on arbitrarily shaped domains.  Participants are advised to bring a laptop with Python and Matlab (or its free counterpart Octave) pre-installed.
Giuseppe Puglisi
Politecnico di Bari
Mathematical Models for the Multiphysics Behaviour of Rubber-like and Biological Materials: From Entropic Elasticity to Theory-guided Data Modelling
This course introduces mathematical models for the multiphysics behaviour of rubber-like and biological materials, with emphasis on the link between molecular mechanisms, continuum constitutive theory and data-informed modelling. Starting from phenomenological hyperelastic models, the course discusses the statistical-mechanical origin of rubber elasticity through entropic chain models, including freely jointed chains and network-based approaches such as three-chain and Arruda–Boyce-type models. Extensions to non-convex energies, material instabilities and multiscale descriptions will be considered. The final part will address the integration of experimental data into constitutive modelling, with particular attention to theory-guided analysis and symbolic machine learning for the discovery of interpretable material laws. The course is designed for PhD students in mathematics and engineering interested in continuum mechanics, soft matter, biomechanics and advanced constitutive modelling.
Stefano Turzi
Politecnico di Milano
Dynamics and bifurcations in passive and active nematics
This mini-course offers a mathematical introduction to the Ericksen–Leslie theory and its extension to active nematics. In the first part, we study the fluid dynamics of nematic liquid crystals, and we derive the Ericksen–Leslie model within the framework of rational continuum mechanics. In the second part, we extend the passive theory to describe the dynamics of active nematic gels, in which energy is continuously injected at the microscopic scale through an additional active term. In particular, we focus on the onset of instabilities in active nematic systems. We analyse the mathematical structure of the resulting bifurcations by means of the Lyapunov–Schmidt method and present the main ideas of this reduction technique in a form suitable for applications to active matter.
Luigi Vergori
Università di Perugia
Mechanics of nematic shells
Nematic liquid crystals are aggregates of rodlike molecules that tend to align parallel to each other along a given direction. Due to their easy response to externally applied electric, magnetic, optical and surface fields, liquid crystals are of greatest potential for scientific and technological applications. In the last few decades, there has been an increasing interest in soft matter physics on small spherical colloidal particles or droplets coated with a thin layer of nematic liquid crystal. The hope is to build mesoatoms with controllable valence. These coating layers are referred to as nematic shells. When nematic liquid crystals are constrained to a curved surface, the geometry induces a distortion in the molecular orientation. The possibility to have an in-plane order rather than a spatial distribution of the molecules depends on the shell thickness. In ultra-thin shells, the interaction with the colloid surface enforces a sort of degenerate anchoring, i.e., the tendency of the molecules to align parallel to the surface. Thus, unavoidable defects arise when nematic order is established on a surface with the same topology as that of the sphere. Most theoretical studies on nematic liquid crystals are framed within the classical director theory. In this setting, the local properties of the nematic liquid crystals are described through a unit vector, the director, parallel to the local average molecular direction.  However, the director description of a nematic configuration misses a relevant information at the mesoscopic level: the dispersion of the molecules around the average molecular orientation. The order-tensor theory, developed by the Nobel laureate Pierre-Gilles de Gennes, overcomes this gap by introducing a richer kinematic description. Within the framework of both the order-vector and order-tensor theories, these lectures aim to derive models for the free energy density of nematic shells from well-established three-dimensional theories for liquid crystals, to introduce suitable dissipation potentials and to develop a rigorous variational approach for studying the statics and dynamics of nematic shells.