Prof Ioannis Brilakis

Professor 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 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, the NSF CAREER 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 past chair of the Board of Directors of the European Council on Computing in Construction.

Research interest:

Professor 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.

Further information: here.