World's Best Scientists 2026 revealed!

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Computer Science

D-Index
55
Citations
12211
World Ranking
4312
National Ranking
265

Overview

Ioannis Brilakis is affiliated with the University of Cambridge in the United Kingdom. Their research spans multiple fields within engineering, with a focus on areas that combine construction technologies and digital integration.

The main fields of study for Ioannis Brilakis include engineering, with significant contributions in the subfields of geology, civil and structural engineering, building and construction, environmental engineering, and industrial and manufacturing engineering.

The scientist's work covers several main topics of interest:

  • 3D Surveying and Cultural Heritage
  • Remote Sensing and LiDAR Applications
  • Infrastructure Maintenance and Monitoring
  • BIM and Construction Integration
  • 3D Shape Modeling and Analysis
  • 3D Modeling in Geospatial Applications
  • Digital Transformation in Industry

Frequent co-authors collaborating with Ioannis Brilakis include:

  • Varun Kumar Reja
  • Yuandong Pan
  • Diana Davletshina
  • Lavindra de Silva
  • Mengtian Yin

They have published extensively in various venues related to construction and automation technologies. The frequent publication venues are:

  • Computing in Construction
  • Automation in Construction
  • Proceedings of the ISARC
  • SSRN Electronic Journal
  • Apollo (University of Cambridge)

Recent papers authored by Ioannis Brilakis include:

  • Construction with digital twin information systems, 2020, Data-Centric Engineering
  • Digital technologies can enhance climate resilience of critical infrastructure, 2021, Climate Risk Management
  • Building Information Modelling, Artificial Intelligence and Construction Tech, 2020, Developments in the Built Environment
  • Enriching geometric digital twins of buildings with small objects by fusing laser scanning and AI-based image recognition, 2022, Automation in Construction
  • Vision-based excavator pose estimation using synthetically generated datasets with domain randomization, 2021, Automation in Construction

Best Publications

  • 3D Semantic Parsing of Large-Scale Indoor Spaces

    Iro Armeni;Ozan Sener;Amir R. Zamir;Helen Jiang

  • Pothole detection in asphalt pavement images

    Christian Koch;Ioannis Brilakis

  • Construction with digital twin information systems

    Rafael Sacks;Ioannis Brilakis;Ergo Pikas;Haiyan Sally Xie

  • State of research in automatic as-built modelling

    Viorica Patraucean;Iro Armeni;Mohammad Nahangi;Jamie Yeung

  • Construction worker detection in video frames for initializing vision trackers

    Man-Woo Park;Ioannis Brilakis

  • Automated vision tracking of project related entities

    Ioannis Brilakis;Man-Woo Park;Gauri Jog

  • Progressive 3D reconstruction of infrastructure with videogrammetry

    Ioannis Brilakis;Habib Fathi;Abbas Rashidi

  • Toward automated generation of parametric BIMs based on hybrid video and laser scanning data

    Ioannis Brilakis;Manolis Lourakis;Rafael Sacks;Silvio Savarese

  • Building Information Modelling, Artificial Intelligence and Construction Tech

    Rafael Sacks;Rafael Sacks;Mark Girolami;Ioannis Brilakis

  • Visual retrieval of concrete crack properties for automated post-earthquake structural safety evaluation

    Zhenhua Zhu;Stephanie German;Ioannis Brilakis

  • Semantic Enrichment for Building Information Modeling

    Michael Belsky;Rafael Sacks;Ioannis Brilakis

  • Rapid entropy-based detection and properties measurement of concrete spalling with machine vision for post-earthquake safety assessments

    Stephanie German;Ioannis Brilakis;Reginald Desroches

  • Digital twinning of existing reinforced concrete bridges from labelled point clusters

    Ruodan Lu;Ruodan Lu;Ioannis Brilakis

  • Automated Pothole Distress Assessment Using Asphalt Pavement Video Data

    Christian Koch;Gauri M. Jog;Ioannis Brilakis

  • Comparison of Image-Based and Time-of-Flight-Based Technologies for Three-Dimensional Reconstruction of Infrastructure

    Fei Dai;Abbas Rashidi;Ioannis Brilakis;Patricio Vela

  • Framework of aftershock fragility assessment–case studies: older California reinforced concrete building frames

    Jong-Su Jeon;Reginald DesRoches;Laura N. Lowes;Ioannis Brilakis

  • SeeBridge as next generation bridge inspection: Overview, Information Delivery Manual and Model View Definition

    Rafael Sacks;Amir Kedar;André Borrmann;Ling Ma

  • Achievements and Challenges in Machine Vision-Based Inspection of Large Concrete Structures

    C. Koch;S. German Paal;A. Rashidi;Z. Zhu

  • Fragility curves for non-ductile reinforced concrete frames that exhibit different component response mechanisms

    Jong-Su Jeon;Laura N. Lowes;Reginald DesRoches;Ioannis Brilakis

  • Detection of Structural Components in Point Clouds of Existing RC Bridges

    Ruodan Lu;Ioannis K. Brilakis;Campbell R. Middleton

  • Comparative study of vision tracking methods for tracking of construction site resources

    Man-Woo Park;Atefe Makhmalbaf;Ioannis Brilakis

  • Three-Dimensional Tracking of Construction Resources Using an On-Site Camera System

    Man-Woo Park;Christian Koch;Ioannis Brilakis

Frequent Co-Authors

Patricio A. Vela
Patricio A. Vela Georgia Institute of Technology
Reginald DesRoches
Reginald DesRoches Rice University
Lucio Soibelman
Lucio Soibelman University of Southern California
Rafael Sacks
Rafael Sacks Technion – Israel Institute of Technology
Laura N. Lowes
Laura N. Lowes University of Washington
Jong-Su Jeon
Jong-Su Jeon Hanyang University
Burcin Becerik-Gerber
Burcin Becerik-Gerber University of Southern California
Carl T. Haas
Carl T. Haas University of Waterloo
Burcu Akinci
Burcu Akinci Carnegie Mellon University
Silvio Savarese
Silvio Savarese Stanford University

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