Muhammad Omer holds a PhD in Civil Engineering from the University of Manchester (2022). His expertise spans 3D scanning, Building Information Modelling (BIM), artificial intelligence, optimization, and immersive VR-based visualisation for the built environment. During his doctoral research, he developed a semi-automated AI-driven infrastructure inspection technology enabling automated defect detection, as well as severity and extent classification of damage directly from 3D scan data. Following his PhD, he has worked across academia and industry, developing advanced digital engineering solutions to address complex civil engineering challenges, with a strong focus on automation, data-driven decision-making, and digital twins. Within the EU-funded RECONMATIC project, Muhammad Omer is involved in WP3 – Automation and Effective Repurposing, Deconstruction and Demolition, and leads Task WP3.1 on behalf of the University of Manchester. His work focuses on automating the conversion of different construction information formats into digital twins, supporting circularity, efficiency, and sustainability in construction and demolition practices.