Papers
12
Total Citations
633
H-Index
9
About
Ioannis Brilakis is a prominent researcher at the University of Cambridge whose work sits at the intersection of construction technology, robotics, artificial intelligence, and infrastructure informatics. His most influential contribution, "Building Information Modelling, Artificial Intelligence and Construction Tech" (2020, 258 citations), examines how digital tools and AI are reshaping the construction industry, catalyzing an entirely new ecosystem of technology-driven companies. Brilakis has made significant strides in construction automation, developing robotic re-prefabrication systems for buildings and advancing real-time simulation of construction workers through combined body and hand tracking — work that collectively underscores his commitment to safer, smarter job sites. His earlier research on data fusion (2010) established foundational methods for integrating multi-source sensor data to improve reliability in construction engineering. More recently, Brilakis has pioneered lightweight neural networks and edge-device AI for pavement crack detection, alongside landmark datasets such as ConSLAM and CAMHighways, enabling rigorous benchmarking of SLAM algorithms and highway asset management. Spanning over a decade of prolific output, his research has accumulated hundreds of citations and fundamentally advanced how the construction and infrastructure sectors harness automation and intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1Building Information Modelling, Artificial Intelligence and Construction Tech258 citations · 2020
- 2Automated re-prefabrication system for buildings using robotics109 citations · 2017
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- 4Data-Fusion Approaches and Applications for Construction Engineering56 citations · 2010
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- 9ConSLAM: Construction Data Set for SLAM15 citations · 2023
- 10CAMHighways: The Cambridge Highways dataset8 citations · 2024