DC13: Predictive digital twins for preventive conservation of polychromed wooden and painted heritage

Doctoral candidate

To be recruited

Hiring institution

Warsaw University of Technology (WUT)

PhD enrolment institution

Warsaw University of Technology (WUT)

Main supervisor

Robert Sitnik (WUT)

Co-supervisor

Theoharis Theoharis (NTNU)

Co-supervisor

M. Strlic (UL)

Objectives

Many polychromed wooden artefacts and paintings are housed in churches and small museums with sub-optimal, unmonitored conditions:

• Co-design with conservator-scientists a multimodal data pipeline (3D geometry, spectral/colour appearance, DIC, and microclimate) and acquire datasets on mock-ups, using accelerated ageing and induced defects, with validation on real cases.
• Develop, implement, and validate predictive models as building blocks for “heritage digital twins” that fuse measurements with optimisation/AI methods to monitor, forecast and explain predicted change.
• Deliver expert and public-facing visual analytics to explain predicted risks, support preventive conservation, and guide decision-making.

Goals

• Curated protocols and multimodal datasets (mock-ups and selected real objects).
• Software (open source) for HDT creation, monitoring and prediction of change in CH objects.
• Validated on mock-ups and case studies (CS2), the results will feed into a visualisation toolkit accessible to both experts and non-specialists.