Chiara Mommi                             

Thesis project title: Artificial Intelligence in Architectural Representation

abstract

International partner:  to be defined
Supervisor: Fabio Bianconi
International supervisor:  -
e-mail: chiara.mommi@gmail.com

Simona Ceccaroni

Thesis project title: The representation of territorial data for urban and landscape regeneration

abstract

International partner:  to be defined
Supervisor: Fabio Bianconi
International Co-supervisor:  -
e-mail: ceccaroni.simona@gmail.com
 

Elisa Tomassini

Thesis project title: Physics-enhanced machine learning methods for Structural Health Monitoring of bridge networks

abstract

International partner: University of Granada
Supervisor: Filippo Ubertini
International Supervisor Enrique Garcia-Macias
e-mail: eli.tomassini@gmail.com

Sara Galeazzi                        

Thesis project title: Understanding the role of vegetation in slope stability through hydrological and mechanical processes

abstract

International partner: USGS (United States Geological Survey) headquarters in Golden, Colorado
Supervisors: Diana Salciarini, Luca Ciabatta
International Supervisor Benjamin Mirus
e-mail: galeazzisara.geo@gmail.com
 

Matteo Castellani                        

Thesis project title: Artificial Intelligence methodd for Drone inspection and structural health monitoring - AIDBridge

abstract

International partner: Department of Structural Mechanics and Hydraulic Engineering, University of Granada
Supervisor: Filippo Ubertini
Internal Co-supervisor Andrea Meoni
International supervisor Enrique Garcia-Macias
Industrial Supervisor Ing. Fabio antonini
e-mail: matteo.castellani@dottorandi.unipg.it
 

Pooria Mesbahi

Thesis project title: Probabilistic methods for Structural Health Monitoring of Bridge Networks

abstract

International partner: University of Granada
Supervisor: Filippo Ubertini, Marco Breccolotti
International Supervisor Enrique García Macía
e-mail: pooria.mesbahi.70@gmail.com
 

Erica Cernuto

Thesis project title: Landslide interacting with viaducts: a combined approach based on InSAR data and geomechanics models

abstract:

Italy, due to its complex geological configuration, has historically been subject to a high density of landslides, which make the territory particularly vulnerable to slope instability from both natural and anthropogenic influences. Road infrastructures, such as bridges, are particularly exposed to these phenomena, which can severely damage their structural components ([1], [2], [3]). Such damage can cause displacements or rotations of the substructures, leading to significant deterioration. In the most extreme cases, these events can result in the complete collapse of the entire deck ([4], [5]). Moreover, landslides pose a particularly dangerous threat because of their often-unpredictable nature, linked to the complexity of the factors that trigger them and the possibility of occurring without warning signs. The correlation between the type of landslide phenomenon and the damage to the structure is not always easy to determine, because landslides vary in volume, type of movement, material, and orientation [6]. In some cases, landslides impact the viaduct in the longitudinal direction, while in other cases, transversely [7]. Currently, there are no univocal models capable of accurately simulating the structural response to different types of interactions.

International partner: Delft University of Technology (TU Delft)
Supervisor: Diana Salciarini
International Supervisor Giorgia Giardina
Internal Co-supervisor Filippo Ubertini
e-mail: erica.cernuto@dottorandi.unipg.it
 

Giri Prajwal

Thesis project title: New IoT (Internet of Things) Technology and data fusion for Structural Health Monitoring of Reinforced Concrete Precast Structures

abstract

International partner: to be defined
Supervisor: Ilaria Venanzi
International Supervisor to be defined
e-mail: Prajwal.giri00@gmail.com
 

Andrea Migliosi

Thesis project title: The Chiascio Dam and its Reservoir: Analysis, Models and Scenarios for the Development of the Internal Areas

abstract:

Al centro della ricerca c'è il caso studio del Lago di Valfabbrica, un bacino artificiale umbro la cui evoluzione incompiuta ha generato una condizione di sospensione funzionale, identitaria e percettiva. Il progetto propone una metodologia sperimentale che integra strumenti interdisciplinari di lettura del paesaggio, dispositivi di simulazione basati sull'intelligenza artificiale e pratiche di co-progettazione visiva, con l'obiettivo di esplorare nuovi modelli di interazione tra comunità e paesaggio attraverso la rappresentazione. L'Intelligenza Artificiale Generativa viene indagata nel suo ruolo di mediatore critico e speculativo, capace di generare scenari progettuali in grado di dare ai cittadini un ruolo attivo nell'immaginazione e nella costruzione del territorio. La ricerca, di matrice transdisciplinare, intende così contribuire alla definizione di un paradigma contemporaneo in cui l'estetica, il diritto al paesaggio e l'intelligenza artificiale convergono in strumenti innovativi per il governo dei luoghi.

International partner: Nebrija Universidad, Madrid
Supervisor: Fabio Bianconi
International Supervisor Fernando Moral-Andrés
e-mail: andrea.migliosi@dottorandi.unipg.it
 

Roberta Scungio (afferenza con Dottorato nazionale "Difesa dai rischi naturali e transizione ecologica del costruito" con sede amministrativa presso l’Università di Catania)

Thesis project title: to be defined

abstract

International partner: to be defined
Supervisor: to be defined
International Supervisor to be defined
e-mail: robertascungio@gmail.com