Visiting Associate Professor of Computer Vision
Department of Computer Science
Gates 228, Stanford, CA 94305
Department of Engineering, University of Cambridge
BC2-07, Trumptington Street, Cambridge, CB2 1PZ, UK
Tel: +44 (0) 1223 332718
Mobile: +44 (0) 7713 119602
Fax: +44 1223 3 32662
Dr Brilakis' research interests lie broadly in the field of construction engineering, but are primarily focused in construction automation and information technologies. This includes as-built BIM generation; 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 construction tasks; infrastructure condition assessment, modelling, and sensing; integration of project information into visualization and simulation models; project control systems and field management technologies; and communication, collaboration and coordination technologies.
Dr. Ioannis Brilakis is a Laing O'Rourke Lecturer of Construction Engineering 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. 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). He is a recipient of the NSF CAREER 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 140 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 a past-chair and founder of the ASCE TCCIT Data Sensing and Analysis Committee, and the TRB AFH10 (1) Information Systems in Construction Management Subcommittee.