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  <title><![CDATA[Ioannis Brilakis]]></title>
  <body><![CDATA[<p><em><strong>Biosketch</strong></em><br />Dr. Ioannis Brilakis joined Georgia Tech in 2009 as an Assistant Professor jointly appointed the Schools of Building Construction and Civil and Environmental Engineering. He is director of the Construction Information Technology Laboratory. His teaching and research focus on construction information technology, construction engineering, and computer vision applications in infrastructure modeling and assessment. Since 2005, Dr. Brilakis has been the Principal Investigator or Co-Principal Investigator on more than 10 externally sponsored grants, most from the National Science Foundation. He is the recipient of a 2010 NSF CAREER award, an active member of several academic and professional organizations, and a member of the Editorial Boards of the <em>ASCE Journal of Construction Engineering and Management</em>, the <em>ASCE Journal of Computing in Civil Engineering</em>, and the <em>Elsevier Journal of Advanced Engineering Informatics</em>. Dr. Brilakis is the author or co-author of more than 20 articles in peer-reviewed journals and 35 articles in peer reviewed conference proceedings. <br />He holds a Ph.D. in Civil Engineering from the University of Illinois, Urbana Champaign. From 2005 to 2008, Dr. Brilakis served as an Assistant Professor at the Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor.<br /><br /><em><strong>Educational Background</strong></em><br />2001 - Diploma (Civil Engineering), University of Patras - Greece<br />2002 - M.S. (Civil Engineering), University of Illinois - Urbana Champaign<br />2005 - Ph.D. (Civil Engineering), University of Illinois - Urbana Champaign<br /><br /><strong><em>Fields</em></strong></p><ul><li>Construction Information Technology </li><li>Infrastructure Modeling and Assessment</li><li>Computer Vision and Pattern Recognition Applications</li><li>Intelligent Jobsite Automations </li></ul>]]></body>
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        <value><![CDATA[AEC Integration]]></value>
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        <value><![CDATA[Full]]></value>
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        <value><![CDATA[School of Building Construction]]></value>
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        <value><![CDATA[School of Civil and Environmental Engineering]]></value>
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      <value><![CDATA[<p>construction information technology, infrastructure modeling and assessment, computer vision and pattern recognition applications, intelligent jobsite automations</p>]]></value>
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      <value><![CDATA[<p><em><strong>Recent Courses</strong></em></p><ul><li>CEE 8813E - Spatial and Visual Sensing for Civil Infrastructure Development, Spring 2010</li><li>BC 6650 - Advanced Project Management, Fall 2009</li><li>CEE 4120 - Construction Operations, Fall 2009</li><li>BC 4600 - Project Management II, Spring 2009</li></ul><p><br /><strong><em>Current PhD students</em></strong></p><ul><li>Zhenhua Zhu</li><li>Man Woo Park</li><li>Gauri Jog</li><li>Habib Fathi</li><li>Abbas Rashidi</li><li>Sara Roberts</li></ul>]]></value>
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      <value><![CDATA[<p><strong><em>Research ambitions<br /></em></strong>Making informed decisions in all stages of the infrastructure life cycle and by all parties involved is a key element of infrastructure management. Even experienced professionals can avoid major mistakes with the right type and amount of information. However, the process of acquiring that information faces two great challenges; the lack of automation in collecting and analyzing the data needed to convert it to useful information, and the lack of formalized systematic processes in representing and visualizing data and information.<br /><br />Our research focuses on inventing new methods that automate data collection with the help of state-of-the-art sensors and sensor systems and provide flexible ways for analyzing the data into information suitable for construction related applications. Particular emphasis is given on methods that handle visual and spatial data, due to the large amount of information that can be harvested from them despite their unstructured nature.<br /><strong><em><br />Recent Publications</em></strong></p><ul><li>Zhu, Z. and Brilakis, I. (2010) "Parameter Optimization for Automated Concrete Detection in Image Data", <em>Journal of Automation in Construction</em>, Elsevier, accepted</li><li>Brilakis, I., Lourakis, M., Sacks, R., Savarese, S., Christodoulou, S., Teizer, J., and Makhmalbaf, A. (2010) "Automated Generation of Parametric BIMs based on Hybrid Video and Laser Scanning Data", Invited paper from article at the 2009 EG-ICE Workshop on Intelligent Computing in Engineering, <em>Journal of Advanced Engineering Informatics</em>, accepted</li><li>Rashidi, A., Jazebi, F., and Brilakis, I. (2010) "A Neuro Fuzzy Genetic System for Selection of Construction Project Managers", <em>Journal of Construction Engineering and Management</em>, American Society of Civil Engineers, in print</li><li>Zhu, Z. and Brilakis, I. (2010) "Concrete Column Recognition in Images and Videos", <em>Journal of Computing in Civil Engineering</em>, American Society of Civil Engineers, in print</li><li>Zhu, Z. and Brilakis, I. (2010) "Machine Vision based Concrete Surface Quality Assessment", <em>Journal of Construction Engineering and Management</em>, American Society of Civil Engineers, Volume 136, Issue 2, February 2010, Pages 210 - 218</li></ul><p><br /><strong>Recent Funded Projects</strong></p><ul><li>2010, Principal Investigator - National Science Foundation, $402,279 - “CAREER: VPR Models for Remote Sensing of Civil Infrastructure”</li><li>2010, Co-Principal Investigator - National Science Foundation, $360,000 - “Machine Vision Enhanced Inspection and Rapid Loss Estimation”</li><li>2010, Principal Investigator - National Science Foundation, $40,000 - “RAPID: Collection of Perishable Data from the Haiti Earthquake”</li><li>2010, Co-Principal Investigator European Commission, €300,510 - “BIMAutoGen”</li><li>2010, Principal Investigator - American Society of Civil Engineers, $4,000 - “Intelligent Computing: Challenges and opportunities”</li><li>2009, Principal Investigator - National Science Foundation, $36,978 - “GRS: Progressive Site Modeling with Videogrammetry”</li><li>2008, Principal Investigator - National Science Foundation, $231,407 - “Progressive Site Modeling with Videogrammetry”</li><li>2007, Principal Investigator - National Science Foundation, $37,250 - “IREE: Automated Vision Tracking of Project Related Entities”</li><li>2006, Principal Investigator - National Science Foundation, $299,739 - “Automated Vision Tracking of Project Related Entities”</li></ul><p>&nbsp;</p>]]></value>
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      <value><![CDATA[328 Sustainable Education Building
788 Atlantic Dr. NW]]></value>
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