Prof. Ioannis Brilakis is a Laing O'Rourke Professor of Construction Engineering and the Director of the Construction Information Technology Laboratory at the Division of Civil Engineering of the Department of Engineering at the University of Cambridge. He completed his PhD in Civil Engineering at the University of Illinois, Urbana Champaign in 2005. He then worked as an Assistant Professor at the Departments of Civil and Environmental Engineering, University of Michigan, Ann Arbor (2005-2008) and Georgia Institute of Technology, Atlanta (2008-2012) before moving to Cambridge in 2012 as a Laing O’Rourke Lecturer. He was promoted to University Reader in October 2017. He has also held visiting posts at the Department of Computer Science, Stanford University as a Visiting Associate Professor of Computer Vision (2014) and at the Technical University of Munich as a Visiting Professor, Leverhulme International Fellow (2018-2019), and Hans Fischer Senior Fellow (2019-2021). He is a recipient of the NSF CAREER award, the 2019 ASCE J. James R. Croes Medal, the 2018 ASCE John O. Bickel Award, the 2013 ASCE Collingwood Prize, the 2012 Georgia Tech Outreach Award and the 2009 ASCE Associate Editor Award. Dr Brilakis is an author of over 190 papers in peer-reviewed journals and conference proceedings, an Associate Editor of the ASCE Computing in Civil Engineering, ASCE Construction Engineering and Management, Elsevier Automation in Construction, and Elsevier Advanced Engineering Informatics Journals, and the chair of the Board of Directors of the European Council on Computing in Construction.
Selected Awards
2019-2027, CDT in Future Infra. and Built Environment-2 (FIBE2), CI, EPSRC
2019-2023, Cloud Building Information Modelling, CI, H2020 MCSA ITN
2017-2020, Autom. Construction Monitoring Via Semantic Info. Modelling, CI, ARC
2017-2021, AI-Optimised Pathways for Schedule Execution, CI, InnovateUK
2017-2021, PointPix, PI. BP, LOR, Trimble, Topcon, GeoSLAM, and CSIC
2015-2017, Digitally Enabling the DfMA & Maintenance of Bridges, CI, InnovateUK
2015-2017, SeeBridge, ERA.NET Infravation, CI, European Commission
2010-2015, Reciprocal R&R for Modelling of Constructed Facilities, PI, NSF
2010-2013, Machine Vision Enhanced Post Earthquake Inspection, CI, NSF
2010-2013, CAREER: VPR Models for R. Sensing of Civil Infrastructure, PI, NSF
2008-2011, Progressive Site Modelling with Videogrammetry, PI, NSF
2006-2011, Automated Vision Tracking of Project Related Entities, PI, NSF
Research Interests
Dr Brilakis' research interests lie broadly in the field of construction engineering with a focus on construction automation and information technologies. This includes generating and updating building and infrastructure digital twins; sensing and data collection for civil infrastructure development; infrastructure computer vision and pattern recognition technologies for construction site multimedia data analysis, classification, retrieval, and processing; knowledge extraction and management; intelligent automation of design and construction tasks; infrastructure condition assessment, modelling, and sensing; integration of project information into visualization and simulation models or mixed reality systems; project control systems and field management technologies; and communication, collaboration and coordination technologies.
Selected Publications
Konstantinou, E., Lasenby, J. and Brilakis, I. (2019) "Adaptive Computer Vision-Based 2D Tracking of Workers in Complex Environments", J. of Automation in Construction, Elsevier, in press, DOI 10.1016/j.autcon.2019.01.018
Agapaki, E., Miatt, G. and Brilakis, I. (2018) "Prioritizing Object Types for Modelling Existing Industrial Facilities", J. of Automation in Construction, Elsevier, 96, December 2018, Pp. 211 – 223, DOI 10.1016/j.autcon.2018.09.011
Agapaki, E., Miatt, G. and Brilakis, I. (2018) "Prioritizing Object Types for Modelling Existing Industrial Facilities", J. of Automation in Construction, Elsevier, 96, December 2018, Pp. 211 – 223, DOI 10.1016/j.autcon.2018.09.011
Nguyen, B. and Brilakis, I. (2018) "Real-Time Validation of Vision-Based Over-Height Vehicle Detection System", J. of Advanced Engineering Informatics, Elsevier, accepted
Vick, S. and Brilakis, I. (2018) "Road Design Layer Detection in Point Cloud Data for Construction Progress Monitoring", J. of Computing in Civil Engineering, ASCE, 32(5), September 2018, DOI 10.1061/(ASCE)CP.1943-5487.0000772
Huethwohl, P. and Brilakis, I. (2018) "Detecting Healthy Concrete Surfaces", J. of Advanced Engineering Informatics, Elsevier, 37, August 2018, Pp. 150 – 162, DOI 10.1016/j.aei.2018.05.004
Konstantinou, E. and Brilakis, I. (2018) "Matching Construction Workers across Views for Automated 3D Vision Tracking On-Site", J. of Construction Engineering and Management, ASCE, 144(7), July 2018, DOI 10.1061/(ASCE)CO.1943-7862.0001508
Sacks, R., Kedar, A., Borrmann, A., Ma, L., Daum, S., Yosef, R., Brilakis, I., Huethwohl, P., Liebich, T., Barutcu, B. and Muhic, S. (2018) "SeeBridge Next Generation Bridge Inspection: Overview, Information Delivery Manual and Model View Definition", J. of Automation in Construction, Elsevier, 90, June 2018, Pp. 134 – 145, 10.1016/j.autcon.2018.02.033
Huethwohl, P., Brilakis, I., Borrmann, A. and Sacks, R. (2018) "Integrating RC bridge defect information into BIM", J. of Computing in Civil Engineering, ASCE, 32(3), May 2018, DOI 10.1061/(ASCE)CP.1943-5487.0000744
Davila Delgado, J. M., Butler, L. J., Brilakis, I., Elshafie, M. Z. E. B., and Middleton, C.R. (2018) "Structural Performance Monitoring Using Data-Driven and Dynamic BIM Environment", J. of Computing in Civil Engineering, ASCE, 32(3), May 2018, DOI 10.1061/(ASCE)CP.1943-5487.0000749, received the ASCE 2019 J. James R. Croes Medal
Rogage K., Mahamedi E., Brilakis I. and Kassem M. (2022) "Beyond digital shadows: Digital Twin used for monitoring earthwork operation in large infrastructure projects" DOI 10.1007/s43503-022-00009-5
Tetteh M,, Darko A., Chan A., Jafari A., Brilakis I., Chen W., Nani G. and Yevu S. K. (2022) "Scientometric mapping of global research on green retrofitting of existing buildings (GREB): Pathway towards a holistic GREB framework" DOI 10.1016/j.enbuild.2022.112532
Consilvio, A., Hernández, J. S., Chen, W., Brilakis, I., Bartoccini, L., Gennaro, F. D., & Welie, M. v. "Towards a digital twin-based intelligent decision support for road maintenance" AIIT 3rd International Conference on Transport Infrastructure and Systems (TIS ROMA 2022). DOI 10.17863/CAM.85824
Xie H., Hong Y. and Brilakis I. (2022) "Analysis of User Needs in Time-Related Risk Management for Holistic Project Understanding" DOI 10.1061/(ASCE)CO.1943-7862.0002241
Hong Y., Xie H., Bhumbra G. and Brilakis I. (2022) "Improving the accuracy of schedule information communication between humans and data" DOI 10.1016/j.aei.2022.101645
Hong Y., Xie H., Hovhannisyan V. and Brilakis I. (2022) "A graph-based approach for unpacking construction sequence analysis to evaluate schedules" DOI 10.1016/j.aei.2022.101625
Assadzadeh A., Arashpour M., Brilakis I., Ngo T. and Konstantinou E. (2022) "Vision-based excavator pose estimation using synthetically generated datasets with domain randomization" DOI 10.1016/j.autcon.2021.104089
Argyroudis S.A., Mitoulis S.A., Chatzi E., Baker J.W., Brilakis I., Gkoumas K., Vousdoukas M., Hynes W., Carluccio S., Keou O., Frangopol D.M. and LinkovI. "Digital technologies can enhance climate resilience of critical infrastructure", Climate Risk Management, Volume 35, 2022, 100387, ISSN 2212-0963, https://doi.org/10.1016/j.crm.2021.100387.
Xie H.S., Brilakis I. and Loscos E. (2022) "Reality Capture: Photography, Videos, Laser Scanning and Drones" DOI 10.36680/j.itcon.2022.004
Fitzsimmons J.P., Lu R., Hong Y. and Brilakis I. (2022) "Construction schedule risk analysis-a hybrid machine learning approach." DOI 10.36680/j.itcon.2022.004
Pan, Yuandong; Braun, Alexander; Borrmann, André; Brilakis, Ioannis: 3D deep-learning-enhanced void-growing approach in creating geometric digital twins of buildings. Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, 2023, 1-17 mehr…
Pan, Yuandong; Braun, Alexander; Borrmann, André; Brilakis, Ioannis: 3D deep-learning-enhanced void-growing approach in creating geometric digital twins of buildings. Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction 176 (1), 2023, 24-40 mehr…
2022
Argyroudis, Sotirios A.; Mitoulis, Stergios Aristoteles; Chatzi, Eleni; Baker, Jack W.; Brilakis, Ioannis; Gkoumas, Konstantinos; Vousdoukas, Michalis; Hynes, William; Carluccio, Savina; Keou, Oceane; Frangopol, Dan M.; Linkov, Igor: Digital technologies can enhance climate resilience of critical infrastructure. Climate Risk Management 35, 2022, 100387 mehr…
Assadzadeh, Amin; Arashpour, Mehrdad; Brilakis, Ioannis; Ngo, Tuan; Konstantinou, Eirini: Vision-based excavator pose estimation using synthetically generated datasets with domain randomization. Automation in Construction 134, 2022, 104089 mehr…
Changyu Du, Miguel A. Vega Torres , Yuandong Pan, André Borrmann: MV-KPConv: Multi-view KPConv For Enhanced 3D Point Cloud Semantic Segmentation Using Multi-Modal Fusion With 2D Images. , 2022 mehr…
Consilvio, Alice; Hernández, José Solís; Chen, Weiwei; Brilakis, Ioannis; Bartoccini, Luca; Gennaro, Federico Di; Welie, Mara Van: Towards a digital twin-based intelligent decision support for road maintenance. , 2022 mehr…
Fitzsimmons, John Patrick; Lu, Ruodan; Hong, Ying; Brilakis, Ioannis: Construction schedule risk analysis – a hybrid machine learning approach. Journal of Information Technology in Construction 27, 2022, 70-93 mehr…
Hong, Ying; Xie, Haiyan; Bhumbra, Gary; Brilakis, Ioannis: Improving the accuracy of schedule information communication between humans and data. Advanced Engineering Informatics 53, 2022, 101645 mehr…
Hong, Ying; Xie, Haiyan; Hovhannisyan, Vahan; Brilakis, Ioannis: A graph-based approach for unpacking construction sequence analysis to evaluate schedules. Advanced Engineering Informatics 52, 2022, 101625 mehr…
Pan, Yuandong; Braun, Alexander; Brilakis, Ioannis; Borrmann, André: Enriching geometric digital twins of buildings with small objects by fusing laser scanning and AI-based image recognition. Automation in Construction 140, 2022, 104375 mehr…
Pan, Yuandong; Noichl, Florian; Braun, Alexander; Borrmann, André; Brilakis, Ioannis: Automatic creation and enrichment of 3D models for pipe systems by co-registration of laser-scanned point clouds and photos. Proceedings of the 2022 European Conference on Computing in Construction, University of Turin, 2022 mehr…
Rogage, Kay; Mahamedi, Elham; Brilakis, Ioannis; Kassem, Mohamad: Beyond digital shadows: Digital Twin used for monitoring earthwork operation in large infrastructure projects. AI in Civil Engineering 1 (1), 2022 mehr…
Tetteh, Mershack O.; Darko, Amos; Chan, Albert P.C.; Jafari, Amirhosein; Brilakis, Ioannis; Chen, Weiwei; Nani, Gabriel; Kwame Yevu, Sitsofe: Scientometric mapping of global research on green retrofitting of existing buildings (GREB): Pathway towards a holistic GREB framework. Energy and Buildings 277, 2022, 112532 mehr…
Xie, Haiyan; Hong, Ying; Brilakis, Ioannis: Analysis of User Needs in Time-Related Risk Management for Holistic Project Understanding. Journal of Construction Engineering and Management 148 (4), 2022 mehr…
Yuandong Pan, M. Saeed Mafipour, Mansour Mehranfar: Enriching Point Features to Improve Semantic Segmentation of Point Clouds. , 2022 mehr…
2021
Agapaki, Eva; Brilakis, Ioannis: CLOI: An Automated Benchmark Framework for Generating Geometric Digital Twins of Industrial Facilities. Journal of Construction Engineering and Management 147 (11), 2021, 04021145 mehr…
Agapaki, Eva; Brilakis, Ioannis: Instance Segmentation of Industrial Point Cloud Data. Journal of Computing in Civil Engineering 35 (6), 2021, 04021022 mehr…
Brilakis, Ioannis; Pan, Yuandong; Borrmann, Andre; Mayer, Hermann-Georg; Rhein, Fabian; Vos, Catharina; Pettinato, Eva; Wagner, Sigrid: "Built Environment Digital Twining". International Workshop on Built Environment Digital Twinning presented by TUM Institute for Advanced Study and Siemens AG, 2021, mehr…
Hong, Ying; Xie, Haiyan; Bhumbra, Gary; Brilakis, Ioannis: Comparing Natural Language Processing Methods to Cluster Construction Schedules. Journal of Construction Engineering and Management 147 (10), 2021 mehr…
Pan, Yuandong; Braun, Alex; Borrmann, André; Brilakis, Ioannis: Void-growing: a novel Scan-to-BIM method for manhattan world buildings from point cloud. Proceedings of the 2021 European Conference on Computing in Construction, University College Dublin, 2021 mehr…
Swanborough, Jack; Kim, Min-Koo; Agapaki, Eva; Brilakis, Ioannis: Automated optimum visualization system for construction drawing reading. Journal of Information Technology in Construction 26, 2021, 681-696 mehr…