D'Uva Domenico

Fixed-term Researcher (RTDa), their work sits at the intersection of representation, territorial analysis, and digital tools for design and the management of the built environment. National Scientific Qualification (ASN) for appointment as Associate Professor (second-level), disciplinary sector ICAR/17, obtained on 31 May 2021. Earned a PhD in “Surveying, Analysis and Representation of Architecture and the Environment” at Sapienza University of Rome (2008) and was a Research Fellow at Politecnico di Milano (DAStU, 2018–2021), within the Department of Excellence project on territorial fragilities, focusing on mapping fragile landscapes and developing tools and techniques for the analysis and representation of territorial fragilities. His research interests include Digital Twins and BIM with environmental monitoring, digital surveying and modeling for conservation/retrofit, parametric modeling of territory and landscape, slow mobility and accessibility, Machine Learning and Computer Vision applications for landscape, public space and cultural heritage, and critical reflections on generative AI, creativity, and ethical/environmental implications.

Career

09/02/2023 – Present — Fixed-term Researcher (RTDa).

01/12/2018 – 30/11/2021 — Research Fellow (Assegnista di Ricerca) — Politecnico di Milano, DAStU (Department of Architecture and Urban Studies), Department of Excellence project on territorial fragilities. Research title: “Mapping Fragile Landscapes / Tools and techniques for the analysis and representation of territorial fragilities.”

25/06/2008 — PhD in “Surveying, Analysis and Representation of Architecture and the Environment” — Department of Surveying, Analysis and Drawing of Environment and Architecture, Sapienza University of Rome. Awarded on 25/06/2008.

31/05/2003 —Masters Degree (Laurea Specialistica a ciclo unico) in Building Engineering–Architecture (EU) — University of L’Aquila.

Research

• Digital Twins, BIM, and environmental monitoring for urban/architectural regeneration.
• Digital surveying and modeling for conservation/retrofit of the built environment (survey → model → decision-making).
• Parametric modeling of territory and landscape (DTM→NURBS, “parametric” GIS, open data).
• Slow mobility, networks, and accessibility: measuring spatial quality and optimizing routes/itineraries
• Machine Learning and Computer Vision applied to landscape, public space, and cultural heritage.
• Generative AI for design: creativity, representation, and ethical/environmental implications.
  

Selected Publications

2025 - Seccaroni, M. and D’Uva, D.: AI-Driven Detection of Unauthorized Buildings to Protect Hamlet Heritage in Fragile Territories in Italy, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-9-2025, 1349–1355, 2025

2024 - Seccaroni, Marco; Vendemmia, Bruna; D'Uva, Domenico - Cycling Mobility as a Means of Improving Access to Education in Emerging Mobility Paradigms towards the Resiliente Metropolis, a cura di Bruno Monardo, Chiara Ravagnan, Tab Edizioni

2024. D'Uva, Domenico; Bolognesi, Cecilia, “Low-cost Real-Time monitoring with BIM Integration in a Polluted Urban Environment”. The International Archives of the Photogrammetry, Remote Sensing And Spatial Information Sciences, vol. XLVIII-2/W8-2024, 133-138 –

2023. Bianconi, Fabio, Marco Filippucci, Marco Seccaroni, Andrea Rolando, and Domenico D'Uva. "Machine learning and landscape quality. Representing visual information using deep learning-based image segmentation from street view photos." SCIRES-IT-SCIentific RESearch and Information Technology 13, no. 1 (2023): 117-134.

2022 - Liang, Yang; D'Uva, Domenico; Scandiffio, Alessandro; Rolando, Andrea, The more walkable, the more livable? -- can urban attractiveness improve urban vitality? paper in New scenarios for safe mobility in urban areas, Transportation Research Procedia, Elsevier Publisher.