Host institution: Technion – Israel Institute of Technology
Project Title: Graph representation of BIM models for machine learning applications
Objectives: To devise graph representations of BIM models that can be used for machine learning and other AI techniques; To test the representations through prototypical application to a set of key BIM research and development problems, including semantic enrichment of BIM models, identification and classification of known BIM objects in point cloud data (raw PCD or segmented geometry); to explore the range and the types of problems in architecture, engineering and construction to which the technology can be applied.
Expected Results: The ESR will implement and test proof of concept prototypes of sample BIM appications using machine learning with graph representations; and will prepare a taxonomy of research applications and the BIM/AI approaches suitable for their solution. The outcome is expected to include both a theoretical and a practical (empirical) evaluation and comparison of the efficacy of the general approach. The report is expected to include detailed recommendations for industrial implementation.
Enrolment in Doctoral degree: Technion – Israel Institute of Technology, PhD Civil Eng.
Advisor: Rafael Sacks