Giacomo Patrucco

Ph.D. in Beni Architettonici E Paesaggistici , 35th cycle (2019-2022)

Ph.D. obtained in 2023

Dissertation:

Integration and classification of spatial data for 3D modelling and monitoring of built heritage (Abstract)

Tutors:

Antonia Teresa Spano' Fabio Giulio Tonolo

Profile

Research interests

3d metric survey
3d modelling
Artificial intelligence
Classification
Cultural heritage
Digital photogrammetry
Geomatics
Laser scanning
Multispectral
Segmentation

Biography

Giacomo Patrucco is PhD in Geomatics (2023). He graduated in Architecture for Sustainable Design at the Polytechnic University of Turin in 2016. Since 2015 he has been a member of the student team DIRECT (Disaster RECovery Team) where he currently holds the role of tutor. Since 2017 he has been collaborating with the Laboratory of Geomatics for Cultural Heritage (G4CH Lab, Polytechnic University of Turin) in several research projects and teaching activities. At the moment he is holding the role of technical responsible of the Laboratory. He partecipated in several documentation missions in UNESCO Word Heritage sites in Oman, Turkmenistan, Bahrain, London, Iraq, Mongolia, Kurdistan, Turkey. He is currently collaborating with CRAST (Centro Ricerche Archeologiche e Scavi di Torino) in the framework of research experiences regarding the investigation techniques in archaeological contexts, with GiFLE (Grupo de Investigación en Fotogrametría y Láser Escáner) of the Universidad Politécnica de Valencia (Departamento de Ingeniería Cartográfica, Geodesia y Fotogrametría) on a research on the the implementation of multispectral images in the framework of photogrammetric pipelines for the documentation, monitoring and non-invasive diagnostic of the built heritage and with MAIER (Missione Archeologica Italiana a Hierapolis di Frigia). His research actually focuses on several aspects regarding 3D metric survey techniques (data acquisition through geomatic techniques aimed at documenting built heritage; movable heritage digitisation; classification and semantic segmentation of images using machine learning and deep learning techniques; optical and multispectral 3D data fusion; documentation and monitoring of archaeological sites using 3D sensing technologies and non-visible imagery).

Awards and Honors

Teaching

Teachings

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

Publications

Last years publications

Works published during the Ph.D. View all publications in Porto@Iris

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