SciTransfer
Organization

FACULDADE DE ARQUITETURA DA UNIVERSIDADE DE LISBOA (UL)

Architecture faculty specializing in laser-scan-to-BIM workflows and digital documentation of historic European buildings using IFC standards.

University research groupsocietyPTNo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
2
Total EC funding
€382K
Unique partners
0
What they do

Their core work

FAUL is the architecture faculty of the University of Lisbon, specializing in digital documentation and information modeling of historic buildings. Their H2020 work centers on converting physical architectural surveys — using laser scanners and photogrammetry — into structured BIM (Building Information Models) that comply with international data standards (IFC, IDM, IFD). They apply these methods specifically to baroque and other historic European structures, including complex decorative elements like illusionist ceiling paintings that are difficult to document digitally. In practice, they produce the tools, workflows, and data schemas that heritage managers and conservation architects need to maintain and study old buildings using modern digital infrastructure.

Core expertise

What they specialise in

Scan-to-BIM for historic buildingsprimary
2 projects

Both 3D-SMoHC and Quad2BIM address the conversion of physical laser-scan surveys into structured building information models for heritage structures.

Heritage BIM standards (IFC, IDM, IFD)primary
1 project

Quad2BIM explicitly targets H-BIM Level 3 compliance and works with the IFC/IDM/IFD standards stack for interoperable heritage data exchange.

3D documentation of architectural heritageprimary
2 projects

3D-SMoHC focused on open-science 3D models for heritage conservation management; Quad2BIM extends this with laser scanner workflows for baroque spaces.

Baroque architecture and decorative surface recordingsecondary
1 project

Quad2BIM specifically addresses baroque architectural spaces and illusionist ceiling paintings as a test case for advanced scan-to-BIM methodology.

Open science workflows for heritage datasecondary
1 project

3D-SMoHC was explicitly framed as an open science project for documentation and management of heritage conservation data.

Evolution & trajectory

How they've shifted over time

Early focus
3D open-science heritage documentation
Recent focus
Standards-compliant H-BIM workflows

No early-period keywords are recorded for the 2017–2019 project (3D-SMoHC), but the project title points to foundational work in open-access 3D modeling for conservation management. By 2020–2023, the keyword set becomes technically specific and standards-focused — IFC, IDM, IFD, H-BIM Level 3, and Scan-to-BIM — signaling a clear shift from general 3D documentation toward interoperable, standards-compliant BIM pipelines. The trajectory is from "documenting heritage in 3D" toward "making that data machine-readable, exchangeable, and integrated into professional heritage management workflows."

FAUL is moving toward the technical infrastructure layer of heritage digitization — BIM data standards and interoperability — which positions them well for future projects involving smart city heritage integration, digital twins of historic buildings, or pan-European heritage data platforms.

Collaboration profile

How they like to work

Role: specialist_contributorReach: regional

Both H2020 projects were MSCA Individual Fellowships, meaning FAUL acted as a host institution for incoming research fellows rather than coordinating multi-partner consortia. This explains the absence of recorded consortium partners: MSCA-IF is a two-party arrangement between the fellow and the host. Working with FAUL likely means engaging a focused academic research group with deep domain expertise, not a large network hub — they offer research depth and academic credibility rather than consortium-building reach.

FAUL's recorded H2020 network is minimal — zero consortium partners and zero countries collaborated with — because both projects were MSCA Individual Fellowships, a grant type that does not require multi-partner consortia. Their real professional network in architectural heritage and BIM is likely broader than the H2020 data reflects.

Why partner with them

What sets them apart

FAUL sits at a rare intersection: a school of architecture with technical depth in BIM standards and digital survey methods, applied specifically to European historic building stock. Unlike generic BIM consultancies, they bring academic research rigor and direct access to real heritage case studies (including Portuguese baroque architecture) that commercial firms rarely have. For a consortium that needs both architectural domain knowledge and technical BIM expertise in a heritage context, FAUL covers both without needing a separate partner.

Notable projects

Highlights from their portfolio

  • Quad2BIM
    The larger and more recent of the two projects (€221,723, 2020–2023), it tackles one of the hardest problems in heritage digitization — creating fully standards-compliant H-BIM Level 3 models from laser scans of complex baroque spaces, including illusionist painted ceilings.
  • 3D-SMoHC
    An early open-science framing (2017–2019) for 3D heritage models, notable for positioning heritage documentation as open data infrastructure rather than proprietary deliverables.
Cross-sector capabilities
digital infrastructure (BIM data standards, IFC interoperability)smart cities (digital twins of urban heritage fabric)construction technology (scan-to-BIM workflows applicable to new build)tourism and culture (digital heritage interpretation and access)
Analysis note: Both projects are MSCA Individual Fellowships — a grant type where the institution hosts a researcher rather than leading a consortium. This means the "coordinator" role recorded in CORDIS is administrative hosting, not strategic project leadership, and the zero-partner network is structurally expected rather than indicative of isolation. Confidence is low (2/5) due to only two projects and no consortium network data; the expertise profile is plausible but based on thin evidence.