On July 14th, at the European Conference on Computing in Construction (EC3) held in Porto, Andrea Revolti presented the paper “Empirical Validation of BIM-to-Digital Twin Transformation for Smart Mobile Factories: A Case Study”.The paper presents a BIM-to-Digital Twin transformation process applied to a Smart Mobile Factory, validated through a real-world construction use case. The proposed approach enables real-time monitoring of prefabrication activities by integrating IoT sensors and interactive visualization in Unity.

Andrea Revolti, from the Free University of Bozen-Bolzano, participated as a speaker at the IFAC MIM 2025 Conference. During the event, he presented the paper titled:“Simulation-Driven Digital Twin Framework for Optimizing Smart Mobile Factory Operations”.

Daniel Hall and Irfan Čustović were invited to speak at the Industrialised Construction Conference in Coventry, UK, on 02.07.2025. This event attracted 200+ industry experts including architects, clients, contractors and engineers interested in delivering advanced construction. Disseminating findings from the SMF4INFRA project, Daniel and Irfan illustrated how digitalization and process improvements will transform the strategic, tactical and operational management of construction projects.

On April 15, 2025, Ananya presented her paper, “Digital Twin Driven Quality Control in Smart Mobile Factories: A Framework in Precast Manufacturing,” at the CIRP CMS 2025 Conference held at the University of Twente in the Netherlands.

On March 27, 2025, Jianxiang presented a paper at the RILEM Spring Conference 2025 in Mendrisio, Switzerland, discussing the environmental impact of component service life uncertainty in EuroTube infrastructure. The study found that the electromagnetic system (EMS) with a concrete tube offers the lowest emissions and variability. It emphasized that component durability is crucial for accurately assessing environmental footprints and that structural importance should be considered in sustainable design. The proposed parametric stochastic LCA framework helps identify key parameters across LCA stages, supports sustainable infrastructure development, and informs stakeholder decisions in design and operation.