Digital twins
Decision loops, not only 3D models
Digital twins become useful when they connect sensing, model updating, engineering interpretation, decisions, action and new data.
Civil Engineering AI | UK-facing academic profile
Civil Engineering AI for resilient infrastructure
I work on sensing, BIM, digital twins, structural models and AI-assisted decision loops for safer, more resilient infrastructure, connecting research-led teaching with knowledge exchange and public engineering value.
Associate Professor, Southeast University
Former Associate Professor, OsloMet - Oslo Metropolitan University
Dr.-Ing., Universitat der Bundeswehr Munchen
Research focus: BIM, SHM, reality capture, construction robotics and infrastructure decision support
1,072Google Scholar citations
15h-index
17i10-index
78peer-reviewed papers
Civil Engineering AI Positioning
A focused research and teaching agenda for digital construction, infrastructure resilience and engineering decision support.
Reality capture
From point clouds to engineering intelligence
Reality capture, BIM, structural models and condition data should support inspection, maintenance and asset-management decisions.
Teaching and impact
Research-led teaching and knowledge exchange
The public profile links civil engineering AI research with responsible curriculum design, supervision, and university-industry collaboration.
Selected Research Evidence
Publication, teaching and applied-research signals for academic readers, hiring committees and infrastructure partners.
Publications
Digital twin predictive maintenance framework
High-impact work on digital twin-enabled predictive maintenance for building operations, contributing to asset management and infrastructure data research.
411 citationsEnergy and Buildings
Teaching
English-medium and project-based teaching
Former OsloMet Associate Professor experience, postgraduate teaching in BIM and digital engineering, Loughborough guest teaching, and supervision of doctoral and master's research.
FHEA application in preparationUK teaching readiness
Knowledge transfer
Public patent and technology-transfer portfolio
Publicly disclosed patents and applied research in sensing, reality capture, BIM/GIS integration, digital construction and structural health monitoring.
Public records onlyIP-safe summary
This website intentionally presents research capability, publication evidence, teaching readiness, and public professional information. Confidential partner details, agreement information, unpublished patent material, internal platform names, and project-specific technical parameters are excluded.