Ioannis Brilakis

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Laing O'Rourke Professor of Civil and Information Engineering

University of Cambridge

United Kingdom

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Ioannis Brilakis is the Laing O'Rourke Professor of Civil and Information Engineering at the University of Cambridge, UK. His research areas include digital twins for road maintenance, automation in construction processes, and the development of frameworks for building permit reviews. He has contributed to numerous publications focusing on the integration of 2D and 3D data, analysis of communication barriers in construction, and innovative approaches for managing highway assets.

Recent Grants

Grant: Close

BUILDSPACE: Enabling Innovative Space-driven Services for Energy Efficient Buildings and Climate Resilient Cities

Open Date: 2023-01-01

Close Date: 2025-12-01

Grant: Open

AEGIR: Digital & Physical Incremental Renovation Packages/Systems Enhancing Environmental and Energetic Behaviour and Use of Resources

Open Date: 2023-01-01

Close Date: 2026-12-01

Grant: Close

Future Roads Fellowships - Ordnance Survey

Open Date: 2022-12-01

Close Date: 2025-12-01

Grant: Open

Future Roads Fellowships - Jacobs UK

Open Date: 2022-11-01

Close Date: 2027-10-01

Grant: Open

Future Roads Fellowships - Kier Highways Ltd

Open Date: 2022-11-01

Close Date: 2027-10-01

Ioannis Brilakis

Research Interests

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Recent Grants

Articles (25)

Constructing and Maintaining Road Geometric Digital Twins

Digitalizing Road Maintenance: A Novel Approach for the Preparation and Integration of 2D and 3D Road Data through Image Shadow Removal and Point Cloud Densification

Automating maintenance of road Geometric Digital Twins through single scan instance aware point cloud change retrieval

OntoBPR: An ontology-based framework for performing building permit reviews using standardized information containers

CAMHighways: The Cambridge Highways dataset

Exploring the value of digital twins for information management in highway asset maintenance

Semantics-based Connectivity Graph for Indoor Pathfinding Powered by IFC-Graph

A Conceptual Framework for Planning Road Digital Twins

Identification and analysis of communication barriers for construction projects with time uncertainties

Robust ELM-PID tracing control on autonomous mobile robot via transformer-based pavement crack segmentation

A Streamlined Laser Scanning Verticality Check Method for Installation of Prefabricated Wall Panels

Scan-to-graph: Automatic generation and representation of highway geometric digital twins from point cloud data

Digitization of Existing Buildings with Arbitrary Shaped Spaces from Point Clouds

Bayesian dynamic modelling for probabilistic prediction of pavement condition

Segment-to-track for pavement crack with light-weight neural network on unmanned wheeled robot

Dense 3D Reconstruction of Building Scenes by AI-Based Camera–Lidar Fusion and Odometry

ConSLAM: Construction Data Set for SLAM

Construction and Maintenance of Building Geometric Digital Twins: State of the Art Review

Graph-Based Automated Construction Scheduling without the Use of BIM

3D deep-learning-enhanced void-growing approach in creating geometric digital twins of buildings

Scientometric mapping of global research on green retrofitting of existing buildings (GREB): Pathway towards a holistic GREB framework

Beyond digital shadows: Digital Twin used for monitoring earthwork operation in large infrastructure projects

Enriching geometric digital twins of buildings with small objects by fusing laser scanning and AI-based image recognition

Improving the accuracy of schedule information communication between humans and data

A graph-based approach for unpacking construction sequence analysis to evaluate schedules

Collaborators (11)

Kay Rogage

Judith Fauth

Munkhbaatar Buuveibaatar

Amirhosein Jafari

Changxin Wang

Sitsofe Kwame Yevu

Mohamad Kassem

André Borrmann

Ran Wei

Georgios M. Hadjidemetriou

Zhiqi Hu

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