معرفی
Aleksander Gil is a Researcher at Northumbria University's Architecture and Built Environment Department, holding a Doctor of Philosophy. His work focuses on applying machine learning and data science to cultural heritage preservation, particularly in architectural documentation and building information modeling (BIM). He has contributed peer-reviewed articles to journals like Heritage and Journal on Computing and Cultural Heritage.
His research interests bridge computer science and architecture, emphasizing point cloud segmentation, classification systems, and AI-driven solutions for heritage conservation. Recent studies include using random forest algorithms for UK cultural heritage buildings and critical reviews of machine learning in heritage BIM.
No scientific awards or grants are explicitly mentioned in the provided text. Collaborations and network details indicate international research activity, though specific lab affiliations or student advisees are not listed.
