Chiara Mommi Thesis project title: Artificial Intelligence in Architectural Representation abstract |
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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 |
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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 |
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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 |
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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 |
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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 |
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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. |
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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 |
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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. |
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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 |
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International partner: | to be defined |
Supervisor: | to be defined |
International Supervisor | to be defined |
e-mail: | robertascungio@gmail.com |