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Author Title Type [ Year(Asc)]
2017
Rausch, C. , Nahangi, M. , Perreault, M. , Haas, C. T. , & West, J. . (2017). Optimum assembly planning for modular construction components. Journal of computing in civil engineering, 31(1). Retrieved from https://doi.org/10.1061/(ASCE)CP.1943-5487.0000605
Zhang, D. , Nasir, H. , & Haas, C. T. . (2017). Development of an internal benchmarking and metrics model for industrial construction enterprises for productivity improvement. Canadian Journal of Civil Engineering, 44(7), 518-529. Retrieved from https://scholar.google.ca/citations?hl=en&user=lmA9rO4AAAAJ&view_op=list_works&sortby=pubdate#d=gs_md_cita-d&u=%2Fcitations%3Fview_op%3Dview_citation%26hl%3Den%26user%3DlmA9rO4AAAAJ%26cstart%3D20%26pagesize%3D80%26sortby%3Dpubdate%26citation_for_view%3Dlm
Alwasel, A. , Yung, M. , Abel-Rahman, E. , Wells, R. , & Haas, C. . (2017). Fatigue detection using phase-space warping. Journal of Biomechanical Engineering, 139(3). Retrieved from https://doi.org/10.1115/1.4035367
Yeung, J. , Walbridge, S. , Haas, C. , & Saari, R. . (2017). Understanding the total life cycle cost implications of reusing structural steel. Environment Systems and Decisions, 37(1), 101-120. Retrieved from https://link.springer.com/article/10.1007%2Fs10669-016-9621-6
Nahangi, M. , Rausch, C. , Haas, C. T. , & West, J. . (2017). Dimensional variability analysis of construction assemblies using kinematics chains and building information model, 34. Retrieved from https://www.semanticscholar.org/paper/Dimensional-Variability-Analysis-of-Construction-Nahangi-Haas/a67265a486d24be97b4980f5f0d37fb8ad4a4d45?p2df
Eray, E. , Golzarpoo, B. , Rayside, D. , & Haas, C. . (2017). An overview on integrating interface management and building information management systems. In 6th CSCE-CRC International Construction Specialty Conference 2017 (pp. 196-205). Retrieved from https://www.researchgate.net/profile/Ekin-Eray/publication/320934456_An_overview_on_integrating_Interface_Management_and_Building_Information_Management_Systems/links/5a034e55a6fdcc8f6c5f776c/An-overview-on-integrating-Interface-Management-and-Building-In
Alwasel, A. , Nahangi, M. , Haas, C. , & Abdel-Rahman, E. . (2017). Level-of-Expertise Classification for Identifying Safe and Productive Masons. In Computing in Civil Engineering (pp. 359-368). Retrieved from https://doi.org/10.1061/9780784480823.043
Safa, M. , Shahi, A. , Haas, C. T. , & Hipel, K. W. . (2017). Construction contract management using value packaging systems. International Journal of Construction Management, 17(1), 50-64. Retrieved from https://doi.org/10.1080/15623599.2016.1167369
Shahtaheri, M. , Haas, C. Thomas, & Salimi, T. . (2017). A multi-dimensional joint confidence limit approach to mixed mode planning for round-the-clock projects. Engineering, Construction and Architectural Management. Retrieved from https://scholar.google.ca/citations?hl=en&user=lmA9rO4AAAAJ&view_op=list_works&sortby=pubdate#d=gs_md_cita-d&u=%2Fcitations%3Fview_op%3Dview_citation%26hl%3Den%26user%3DlmA9rO4AAAAJ%26cstart%3D20%26pagesize%3D80%26sortby%3Dpubdate%26citation_for_view%3Dlm
Safa, M. , Safa, M. , Allen, J. , Shahi, A. , & Haas, C. T. . (2017). Improving sustainable office building operation by using historical data and linear models to predict energy usage. Sustainable Cities and Society, 29, 107-117. Retrieved from https://doi.org/10.1016/j.scs.2016.12.001
Ahn, S. , Shokri, S. , Lee, S. H. , Haas, C. T. , & Haas, R. C. G. . (2017). Exploratory study on the effectiveness of interface-management practices in dealing with project complexity in large-scale engineering and construction projects. Journal of Management in Engineering, 33(2). Retrieved from https://doi.org/10.1061/(ASCE)ME.1943-5479.0000488
Rausch, C. , Nahangi, M. , Haas, C. , & West, J. . (2017). Kinematics chain based dimensional variation analysis of construction assemblies using building information models and 3D point clouds. Automation in Construction, 75(33-44). Retrieved from https://doi.org/10.1016/j.autcon.2016.12.001
Shahtaheri, M. , Haas, C. T. , & Rashedi, R. . (2017). Applying very large scale integration reliability theory for understanding the impacts of type II risks on megaprojects. Journal of Management in Engineering, 33(4). Retrieved from https://doi.org/10.1061/(ASCE)ME.1943-5479.0000504
Sharif, M. ‐M. , Nahangi, M. , Haas, C. , & West, J. . (2017). Automated model‐based finding of 3D objects in cluttered construction point cloud models. Computer‐Aided Civil and Infrastructure Engineering, 32(11), 893-908. Retrieved from https://doi.org/10.1111/mice.12306
Shahtaheri, Y. , Rausch, C. , West, J. , Haas, C. , & Nahangi, M. . (2017). Managing risk in modular construction using dimensional and geometric tolerance strategies. Automation in Construction, volume 83, p: 303-305. Retrieved from http://www.sciencedirect.com/science/article/pii/S0926580517302340
Alwasel, A. , Abdel-Rahman, E. M. , Haas, C. T. , & Lee, S. H. . (2017). Experience, Productivity, and Musculoskeletal Injury among Masonry Workers. Journal of Construction Engineering and Management, Volume 143, issue 6. Retrieved from https://ascelibrary.org/doi/abs/10.1061/(ASCE)CO.1943-7862.0001308
Haas, C. . (2017). Identifying poses of safe and productive masons using machine learning. Automation in Construction.
2016
Shan, Y. , Zhai, D. , Goodrum, P. M. , Haas, C. T. , & Caldas, C. H. . (2016). Statistical analysis of the effectiveness of management programs in improving construction labor productivity on large industrial projects. Journal of Management in Engineering, 32(1). Retrieved from https://doi.org/10.1061/(ASCE)ME.1943-5479.0000375
Nahangi, M. , & Haas, C. T. . (2016). Skeleton-based discrepancy feedback for automated realignment of industrial assemblies. Automation in construction, 61, 147-161. Retrieved from https://doi.org/10.1016/j.autcon.2015.10.014
Ryu, J. H. , Seo, J. O. , Liu, M. , Lee, S. H. , & Haas, C. T. . (2016). Action recognition using a wristband-type activity tracker: Case study of masonry work. In Construction Research Congress 2016 (pp. 790-799). Retrieved from https://doi.org/10.1061/9780784479827.080

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