SeyedReza RazaviAlavi

Northumbria University

Papers

4

Total Citations

38

H-Index

2

About

SeyedReza RazaviAlavi is at the forefront of construction robotics and digital transformation, pioneering research that bridges the gap between physical construction sites and intelligent digital systems. His work centers on three key areas: construction digital twins, autonomous mobile robotics, and human-robot interaction. RazaviAlavi’s major contribution is his comprehensive taxonomy of the construction digital twin (CDT), which systematically analyzes the interplay between applications, technologies, and data—a framework that has quickly garnered 31 citations since its 2024 publication, establishing him as a leading voice in this emerging field. He has also advanced the practical deployment of autonomous robots in built environments, developing layout models that integrate Building Information Modelling (BIM) with simulation to enable safe, efficient robot navigation. In human-robot collaboration, he has designed a mixed reality interface using hand tracking and stereo vision, allowing workers to intuitively control construction robots while reducing accident risks. His work on intelligent construction equipment and robotics further explores the barriers and use cases for adopting robotic systems in renovation projects. With a growing citation record and a clear trajectory toward safer, smarter construction sites, RazaviAlavi is shaping how the industry will integrate automation and digital twins.

Research Focus

Key Achievements

2
H-Index
4
Papers
38
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Construction digital twin: a taxonomy and analysis of the application-technology-data triad
31 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Northumbria University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago